CN117934746B - Visualization method and system based on homeland remediation and ecological restoration data - Google Patents
Visualization method and system based on homeland remediation and ecological restoration data Download PDFInfo
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Abstract
The invention relates to the technical field of ecological restoration, in particular to a method and a system for visualizing data based on homeland remediation and ecological restoration. The method comprises the following steps: image acquisition is carried out on the land renovation area, and area topography structural analysis is carried out, so that area topography structural data are obtained; carrying out terrain boundary morphological coupling analysis, stratum structure evolution analysis and ecological coordination effect simulation according to the regional terrain structure data to obtain ecological coordination effect simulation data; carrying out ecological damage degree evaluation on the ecological coordination effect simulation data and carrying out ecological restoration difficulty calculation to obtain an ecological restoration difficulty value; and performing repair cooperativity analysis, performing ecological repair strategy formulation and simultaneously performing ecological repair real-time monitoring to obtain ecological repair real-time monitoring data, and uploading the data to a terminal to execute visual display. The invention ensures that the ecological restoration process is more accurate through the optimization treatment of ecological restoration.
Description
Technical Field
The invention relates to the technical field of ecological restoration, in particular to a method and a system for visualizing data based on homeland remediation and ecological restoration.
Background
The comprehensive monitoring and analysis of the homeland resources are realized through an advanced Geographic Information System (GIS), a remote sensing technology and big data analysis. The method is based on geospatial data, combines multidimensional information such as environment, land utilization and the like, and is presented through visual means such as charts, maps and the like, thereby providing visual and clear data support for decision makers. Through data visualization, not only can the progress situation of homeland remediation and ecological restoration be deeply known, but also potential problems and trends can be found, important references are provided for scientific planning and effective management, and sustainable development and ecological balance are promoted. However, the traditional method for visualizing the data of the land reclamation and the ecological restoration has the problems that the difference of regional topography boundaries is not fully considered for the land reclamation and the ecological restoration, and the monitoring of the ecological restoration process is not accurate.
Disclosure of Invention
Based on this, there is a need to provide a method and a system for visualizing data based on homeland remediation and ecological restoration, so as to solve at least one of the above technical problems.
In order to achieve the above purpose, the method for visualizing the data based on the homeland remediation and ecological restoration comprises the following steps:
step S1: acquiring images of the land renovation area by using a satellite remote sensing technology to obtain images of the land renovation area; carrying out regional topographic structure analysis according to the territorial remediation regional image to obtain regional topographic structure data; carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data;
Step S2: acquiring a historical atlas of a land remediation area; carrying out stratum structure evolution analysis according to the historical atlas of the land remediation area to obtain stratum structure evolution data; carrying out ecological coordination effect simulation according to stratum structure evolution data to obtain ecological coordination effect simulation data; carrying out ecological damage degree evaluation on the ecological coordination effect simulation data to obtain ecological damage degree data;
Step S3: calculating the ecological restoration difficulty of the ecological damage degree data to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data; performing restoration collaborative analysis according to the homeland ecological intervention restoration data to obtain ecological restoration collaborative data;
Step S4: making an ecological restoration strategy based on the ecological restoration cooperative data to generate an ecological restoration coordination strategy; and carrying out ecological restoration real-time monitoring according to an ecological restoration coordination strategy to obtain ecological restoration real-time monitoring data, and uploading the ecological restoration real-time monitoring data to a terminal to execute visual display.
The invention can comprehensively understand the topography, fluctuation and river distribution topography characteristics of a homeland remediation area through the analysis of the image and topography structure data obtained by the satellite remote sensing technology, provides basic data for subsequent remediation, can identify and understand the interrelationship among different topography characteristics through the topography boundary morphology coupling analysis, provides a basis for formulating a reasonable remediation scheme, ensures the integrity and harmony of the remediation, utilizes a historical atlas to carry out stratum structure evolution analysis, can reveal the evolution trend of stratum, helps to understand the evolution process of land, thereby providing historical reference for reasonable utilization of land resources, carries out ecological coordination effect simulation based on stratum structure evolution data, can predict the influence of remediation measures on an ecological system, is beneficial to formulating a sustainable development remediation scheme, and furthest reduces the adverse effect on ecological environment; by evaluating the ecological damage degree of the ecological coordination effect simulation data, the potential influence of the remediation on the ecological system can be quantified, and scientific ecological risk evaluation is provided for a decision maker so as to take corresponding protection and repair measures; the method has the advantages that the difficulty degree of ecological restoration can be quantified by calculating the ecological restoration difficulty degree of ecological injury degree data, areas needing more resources and technical support can be processed preferentially, areas needing homeland ecological intervention restoration are clear according to comparison of the ecological restoration difficulty degree value and a threshold value, a decision maker can devote resources pertinently, restoration efficiency is improved, a cooperative relationship among different restoration areas can be identified by carrying out restoration cooperative analysis on homeland ecological intervention restoration data, scientific basis is provided for cooperative development of restoration work, overall restoration effect is improved, ecological restoration real-time monitoring is carried out according to an ecological restoration coordination strategy, restoration progress situation is known through real-time monitoring data, problems are found timely, and strategies are adjusted, flexibility and effect of restoration are improved, the ecological restoration real-time monitoring data are uploaded to a terminal and are visually displayed, visual information can be provided for decision makers and related stakeholders, rapid response and decision are promoted, and transparency and public power of restoration are improved. Therefore, the method is an optimization treatment for the traditional visualized method based on the territorial restoration and the ecological restoration data, solves the problems that the traditional visualized method based on the territorial restoration and the ecological restoration does not fully consider the difference of regional topography boundaries and the ecological restoration process is inaccurate, fully considers the difference of regional topography boundaries and monitors the ecological restoration process more accurately.
Preferably, step S1 comprises the steps of:
Step S11: acquiring images of the land renovation area by using a satellite remote sensing technology to obtain images of the land renovation area;
Step S12: performing image contrast enhancement processing on the territorial remedied area image to obtain an area high-resolution image;
step S13: carrying out regional topographic structure analysis according to the regional high-resolution image to obtain regional topographic structure data;
Step S14: and carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data.
The invention can comprehensively acquire the landform information of the land and soil remediation area by utilizing the satellite remote sensing technology, including the geographical features of mountains, rivers, lakes and the like, provide comprehensive basic data for subsequent remediation planning, provide real-time images by satellite remote sensing, enable the information of the land and soil remediation area to be updated in time, facilitate the sensitive perception of the change of terrains and landforms, adjust the remediation plan in time, enhance the contrast of the images to improve the definition and details of the images, obtain high-resolution images, display the surface features more clearly, provide more accurate data for refined topography analysis, enhance the contrast to reduce the shadow and illumination difference in the images, improve the image quality, reduce the information loss, enable topography structural analysis to be more accurate, utilize the high-resolution images to carry out topography structural analysis, extract topography features including gradient, topography relief and the like more accurately, and provide detailed basic data for subsequent topography boundary morphological coupling analysis; by combining the high-resolution image, finer three-dimensional terrain modeling can be performed, finer terrain information is provided, the deep understanding of the landform characteristics of the remediation area is facilitated, the relation among different terrain characteristics can be accurately identified through terrain boundary morphological coupling analysis, the relation comprises ridges and valleys, accurate boundary information is provided for the formulation of the remediation scheme, the terrain boundary morphological coupling analysis is conducive to forming integral terrain planning, the remediation scheme is more integral, and the coordination and the sustainability in the whole area are ensured.
Preferably, step S14 comprises the steps of:
Step S141: gridding modeling is carried out on the regional terrain structure data to obtain a regional terrain grid structure model;
Step S142: extracting a terrain turning boundary according to the regional terrain grid structure model to obtain a terrain turning boundary data set;
step S143: performing terrain turning slope inclination calculation on the terrain turning boundary data set to obtain terrain slope inclination data; calculating a terrain turning angle according to the slope data of the terrain slope to obtain terrain turning angle data;
step S144: performing terrain boundary stability evaluation according to the terrain slope inclination data and the terrain turning angle data to obtain terrain boundary stability data;
Step S145: performing terrain boundary numerical approximation on the slope data of the terrain slope and the turning angle data of the terrain based on the Richardson extrapolation method to obtain boundary numerical approximation data;
step S146: performing terrain boundary numerical integration according to the terrain slope inclination data and the terrain turning angle data to obtain terrain boundary approximate data; performing approximation error compensation on the terrain boundary approximation data according to the boundary value approximation data to obtain terrain boundary similarity compensation data;
Step S147: and carrying out terrain boundary morphological coupling analysis according to the terrain boundary similarity compensation data and the terrain boundary stability data to obtain regional terrain boundary coupling data.
According to the invention, high-precision terrain representation can be provided by gridding modeling of regional terrain structure data, microscopic features of the terrain are captured in more detail, an accurate basis is provided for subsequent analysis, the gridding modeling ensures spatial consistency, so that the terrain structure can be consistently represented in the whole region, a consistent basis is provided for subsequent terrain turning boundary extraction, the terrain turning boundary extraction is performed according to a terrain grid structure model, turning points of the terrain can be accurately defined, a change region of the terrain features is identified, a clearly defined terrain boundary is provided for terrain analysis, the terrain turning boundary extraction is favorable for dividing the terrain structure of the whole region into smaller units, more specific terrain features are provided, an accurate slope information of each terrain slope is provided for subsequent slope calculation basis, data is provided for terrain slope analysis by carrying out slope calculation on a data set, the directivity and angle of the terrain turning angle can be revealed, and important terrain structure data is provided for research fields such as geography and ecology; the stability of the terrain boundary can be evaluated through the data of the slope and the turning angle of the terrain, the information about whether the terrain is easy to generate landslide, collapse and other geological disasters is provided, scientific basis is provided for safety evaluation, the data of the stability of the terrain boundary can be used for planning and construction projects, evaluation of suitability of the terrain boundary is provided, development in unstable areas is avoided, sustainable urban planning and land utilization are facilitated, the Richardson extrapolation method is used for carrying out numerical approximation on the slope and the turning angle data, high-precision boundary numerical approximation data are provided, the terrain characteristic can be described more accurately, support is provided for the numerical stability of a model, the numerical integration of the terrain boundary and approximation error compensation are facilitated to improve the accuracy of boundary approximation, the terrain characteristic is captured more accurately, more reliable data are provided for follow-up analysis and application, the morphological coupling analysis of the boundary similarity compensation data and the boundary stability data are integrated, comprehensive analysis is provided for comprehensively understanding the morphology of the terrain boundary, the method can be used for environmental protection and natural resource management, the potential terrain boundary can be identified, and the risk of the relevant risk slowing down measures are facilitated through morphological coupling analysis.
Preferably, step S2 comprises the steps of:
Step S21: acquiring a historical atlas of a land remediation area;
step S22: carrying out surface ecological evolution analysis on the historical atlas of the land remediation area to obtain surface ecological evolution data;
Step S23: carrying out stratum structure evolution analysis according to the territory renovation area history atlas and the area terrain boundary coupling data to obtain stratum structure evolution data;
step S24: carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the stratum structure evolution data to obtain ecological coordination effect simulation data;
Step S25: and carrying out ecological damage degree assessment on the earth surface ecological evolution data and the ecological coordination effect simulation data to obtain ecological damage degree data.
The invention provides a historical atlas of a homeland remediation area, provides basic data for subsequent earth surface ecological evolution and stratum structure evolution analysis, is helpful for understanding the evolution process and change trend of the area, and provides scientific basis for understanding the ecological evolution analysis of the historical atlas, revealing the change trend of earth surface ecology of the homeland remediation area, is helpful for understanding the dynamic evolution of an ecological system, provides information support for environmental protection and sustainable development, utilizes the historical atlas and terrain boundary coupling data to carry out stratum structure evolution analysis, provides information about the evolution of an underground structure, has important significance for geological research and resource management, utilizes stratum structure evolution data to carry out ecological coordination effect simulation on earth surface ecological evolution data, provides deep understanding of the interrelation between an ecological system and an underground structure, provides scientific basis for ecological environment protection and sustainable resource utilization, carries out ecological damage degree evaluation on earth surface ecological evolution data and ecological coordination effect simulation data, and provides comprehensive evaluation on ecological health conditions of the homeland remediation area. This helps identify potential ecological risks and take measures to repair, provides scientific data for decision makers to understand the health of the ecosystem, helps formulate environmental management policies, plan homeland remediation projects, and take measures to protect and restore the damaged ecosystem.
Preferably, step S24 comprises the steps of:
step S241: performing ground stress change simulation according to stratum structure evolution data to obtain ground stress change simulation data;
step S242: performing stress fluctuation analysis according to the ground stress change simulation data to obtain stress fluctuation change data; performing stress fluctuation intensity assessment according to the stress fluctuation change data to obtain stress fluctuation intensity data;
Step S243: carrying out ground stress ecological influence effect evaluation based on the stress fluctuation intensity data to obtain ground stress ecological influence effect data;
Step S244: and carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the ground stress ecological influence effect data to obtain ecological coordination effect simulation data.
According to the method, the space-time change condition of the underground stress in the region is obtained by performing ground stress change simulation according to stratum structure evolution data, an exhaustive data basis is provided for understanding the stress state of the underground structure, the ground stress change simulation data is utilized for performing stress fluctuation analysis, the fluctuation characteristics of the underground stress are revealed, potential geological activities or underground structure changes are identified, stress fluctuation intensity assessment is performed according to the stress fluctuation change data, and quantitative assessment of the underground stress fluctuation degree is provided. The method is beneficial to determining the stability and potential geological risks of the underground structure, carrying out the evaluation of the effect of the ecological influence of the ground stress on the ecological system based on the stress fluctuation intensity data, evaluating the effect of the underground stress on the ecological system, providing scientific evaluation about the potential effect of the underground structure change on the ecological environment, carrying out ecological coordination effect simulation on the ground surface ecological evolution data according to the effect data of the ground stress ecological influence, enabling understanding of how the underground structure change affects the ground surface ecological system, providing more comprehensive evaluation of the ecological effect, combining the underground structure evolution data with the ground surface ecological evolution data, providing comprehensive knowledge of the mutual effect between geology and the ecological system, providing scientific support for geological activity and ecological environment management, helping to identify the potential geological risk and formulating effective ecological environment protection strategies, providing scientific data base and simulation results, providing scientific decision support for government decision makers and environmental protection institutions, and helping balance the relationship between geological resource development and ecological environment protection.
Preferably, step S25 comprises the steps of:
Step S251: extracting the surface vegetation evolution process of the surface ecological evolution data to obtain the surface vegetation evolution data;
step S252: performing magnetic field change simulation according to the ecological coordination effect simulation data and the stratum structure evolution data to obtain magnetic field change simulation data;
step S253: carrying out geomagnetic inclination calculation on the magnetic field change simulation data to obtain regional geomagnetic inclination data;
step S254: performing magnetic field change data weighting on the magnetic field change simulation data according to the regional geomagnetic inclination angle data to obtain magnetic field change weighting data;
step S255: performing weighted nearest neighbor interpolation on the magnetic field change simulation data according to the magnetic field change weighting data to obtain magnetic field nearest neighbor interpolation data;
step S256: carrying out relevant factor correlation analysis on the surface vegetation evolution data according to the nearest neighbor interpolation data of the magnetic field to obtain magnetic field correlation influence data;
step S257: and carrying out ecological damage degree assessment according to the magnetic field association influence data and the earth surface ecological evolution data to obtain ecological damage degree data.
The invention extracts the vegetation evolution process from the ground surface ecological evolution data to obtain detailed data about vegetation change, which provides a basis for understanding the dynamic change of the ground surface ecological system and is helpful for monitoring vegetation coverage, type distribution and other information; and performing magnetic field change simulation by using ecological coordination effect simulation data and stratum structure evolution data, and revealing the influence of underground structure change on a magnetic field. The method is favorable for researching the response of the geomagnetic field in the underground structure change, and regional geomagnetic inclination angle data is obtained by performing geomagnetic inclination angle calculation on the magnetic field change simulation data. The method provides important information for solving the spatial distribution of the geomagnetic field, is helpful for researching geophysical phenomenon, and performs weighting processing on the magnetic field change simulation data according to regional geomagnetic inclination angle data to obtain magnetic field change weighting data. The method is helpful for reflecting the actual influence of the underground structure change on the magnetic field more accurately, improving the credibility of analog data, and obtaining finer and high-resolution magnetic field data by carrying out nearest neighbor interpolation on the magnetic field change weighted data. The method is favorable for more accurately reflecting local changes of the geomagnetic field, improves the space-time precision of magnetic field simulation data, utilizes the nearest neighbor interpolation data of the magnetic field to perform relevant factor association analysis on the ground vegetation evolution data, and reveals the potential relation between the magnetic field changes and the ground vegetation evolution. The method is helpful for knowing the influence mechanism of the geomagnetic field on the ecological system, combining the magnetic field associated influence data with the ground surface ecological evolution data, and evaluating the ecological damage degree. By analyzing the influence of the magnetic field on vegetation evolution, the potential damage degree of geomagnetic field change on the ecological system can be quantified, and a method for comprehensively evaluating the influence of geomagnetic field change on the ecological system is provided. The method is favorable for formulating ecological protection policies and management measures, protecting ecological balance and biodiversity, evaluating ecological damage degree data can provide scientific basis for decision makers, supports formulating reasonable land utilization planning and resource management strategies, ensures sustainable development, simultaneously furthest reduces adverse effects on an ecological system, evaluates the damage degree of the ecological system by considering local effects of magnetic field changes, ensures finer and more specific ecological risk evaluation, and is favorable for taking targeted ecological protection measures.
Preferably, step S3 comprises the steps of:
Step S31: performing ecological restoration difficulty calculation on the ecological damage degree data by using an ecological restoration evaluation algorithm to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is smaller than a preset ecological restoration difficulty threshold value, performing natural restoration treatment on the land restoration area, marking the area as a natural restoration area, and feeding back to the terminal;
Step S32: when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data;
step S33: classifying ecological restoration types of the homeland ecological intervention restoration data to obtain ecological restoration type data;
Step S34: and carrying out restoration synergy analysis according to the ecological restoration type data to obtain ecological restoration synergy data.
According to the invention, the ecological restoration evaluation algorithm is used for analyzing the ecological damage degree data to obtain the ecological restoration difficulty value. The method is favorable for quantifying the damage degree of the ecological system, provides scientific basis, enables a decision maker to know the complexity of the ecological environment more accurately, and adopts natural restoration treatment when the ecological restoration difficulty value is lower than a set threshold value. This shows that in some areas, natural repair can effectively promote the ecosystem to repair itself, thereby reducing the need for human intervention, reducing the cost of ecological repair, marking the natural repair area and feeding information back to the terminal. The method is helpful for timely informing relevant stakeholders and decision makers, so that the stakeholders and decision makers can know which areas can be repaired by relying on a natural process, the overall repair efficiency is improved, and when the ecological repair difficulty value is higher than a set threshold value, the territory repair area is marked as an area needing territory ecological intervention repair. The method is helpful for identifying the areas needing manual intervention and management, ensuring that effective repair measures are adopted at key places, classifying the territorial ecological intervention repair data and classifying the territorial ecological intervention repair data into different ecological repair types. The method is helpful for accurately determining the repair method applicable to each area, improving the pertinence and the effect of repair, and carrying out repair synergy analysis according to ecological repair type data. The method is favorable for identifying ecological restoration measures which can be implemented simultaneously or cooperatively, improves restoration efficiency to the greatest extent, provides decision support by analyzing restoration cooperativity, helps decision makers optimize resource allocation, and ensures efficient promotion of restoration work. The method is also beneficial to avoiding resource waste, improving the feasibility and effect of overall ecological restoration, and providing intelligent decision support by the system through an automatic ecological restoration evaluation and classification process, so that a decision maker can take corresponding actions more quickly and accurately, optimize the ecological restoration process, and realize the maximum ecological restoration benefit under the minimum cost by natural restoration treatment and targeted manual intervention. This helps to achieve maximum ecological protection and repair results with limited resources.
Preferably, the ecological restoration evaluation algorithm in step S31 is as follows:
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In the method, in the process of the invention, Represents the ecological restoration difficulty value,/>Representing the longest time value of ecological restoration,/>Ecological damage degree coefficient representing ecological damage degree data,/>Complex coefficient representing ecology,/>Representing a time-varying repair influence coefficient,/>Representing the dynamic change coefficient of biomass,/>Weight value representing region to be repaired,/>Representing the implementation difficulty coefficient of ecological environment restoration technology,/>Representing the rate of change of the ecological environment,/>And representing the error correction value of the ecological restoration evaluation algorithm.
According to the method, an ecological restoration evaluation algorithm is constructed by referring to related technical documents and consulting the technical personnel in the field, and the ecological restoration evaluation algorithm comprehensively considers the influence of factors such as ecological damage degree, ecological complexity degree, time change, biomass change, weight of an area to be restored, restoration technology implementation difficulty, ecological environment change rate and the like on ecological restoration difficulty. Such comprehensive metrics can help assess the difficulties and challenges one is faced with in performing ecological restoration, thereby helping to formulate a more efficient ecological restoration scheme. The algorithm fully considers the longest time value of ecological restorationThis parameter reflects the time frame required for ecological restoration, longer/>The value means that ecological restoration requires more time to complete, thus increasing the difficulty value of restoration/>; Ecological injury degree coefficient/>, of ecological injury degree dataThe weight of the ecological damage degree data is measured and used for adjusting the influence of the ecological damage degree on the repair difficulty, and the method is large in/>The value will increase the influence of the ecological damage degree, so that the ecological restoration difficulty value/>Higher, thus can reflect the damage degree of the ecological system more accurately; coefficient of complexity of ecologyGreater/>The value will increase the ecological restoration difficulty value/>Because complex ecosystems typically require more effort and resources to repair; time-varying repair influence coefficient/>The coefficient represents the extent of influence of time on repair, greater/>The value will increase the ecological restoration difficulty value/>As the repair of the ecosystem becomes more difficult over time; dynamic coefficient of variation of biomass/>Biomass refers to the total mass or quantity of organisms in an ecological system, the coefficient is used for considering the dynamic change condition of the biomass in the ecological restoration process, and the ecological restoration difficulty value/>, caused by the change of the biomass, can be better considered by integrating the change of the biomassIs a function of (1); weight value/>, of area to be repairedThis value represents the importance of the region to be repaired, greater/>The value will increase the ecological restoration difficulty value/>As more attention and resources are needed to repair more important areas; implementation difficulty coefficient/>The coefficient represents the implementation difficulty of the ecological environment restoration technology, and is largerThe value will increase the ecological restoration difficulty value/>Because more resources and expertise are required to implement the more difficult repair technique; ecological environment rate of change value/>This value represents the rate of change of the ecological environment, greater/>The value will increase the ecological restoration difficulty value/>Because rapidly changing environments require more urgent and rapid repair measures; error correction value/>, of ecological restoration evaluation algorithmThis value represents an error correction of the algorithm, greater/>The value will increase the ecological restoration difficulty value/>To more accurately account for errors in the algorithm.
Preferably, step S34 includes the steps of:
Step S341: performing different repair type association degree evaluation on the ecological repair type data to obtain repair type association data;
step S342: performing standardized processing on the repair type association data to obtain repair type association standard data;
Step S343: constructing an associated directed graph according to the repair type association standard data to obtain a repair type association directed graph; performing directed graph node centrality evaluation according to the repair type associated directed graph to obtain repair type node central data;
step S344: and carrying out repair collaborative analysis on the repair type association directed graph according to the repair type node central data to obtain ecological repair collaborative data.
According to the invention, through carrying out association evaluation on the ecological restoration type data, the correlation between different restoration types can be comprehensively considered, more comprehensive information is provided for subsequent restoration decisions, the restoration type association data is established through the association evaluation, a key data basis is provided for further analysis, the standardization processing ensures the consistency of the data, the deviation caused by different data sources or different measurement units is facilitated to be eliminated, the comparability of the data is improved, the standardized data is easier to compare and analyze, the subsequent steps are simpler and more accurate, the association between different restoration types can be clearly shown in a directed graph form, the visual understanding of the complex relationship is improved, the restoration type with key influence in ecological restoration can be determined through carrying out node centrality evaluation on the directed graph, the establishment of optimization restoration strategy is facilitated, the cooperative analysis on the node centrality data can be used for identifying which restoration types are better in the aspect of cooperation, the scientific basis is provided for cooperative restoration, the ecological restoration data is facilitated to optimize the restoration strategy, and the cooperative restoration effect between different restoration types is greatly improved, and the overall ecological restoration system is improved.
Preferably, the present invention also provides a system for visualizing data based on homeland remediation and ecological restoration, for executing the method for visualizing data based on homeland remediation and ecological restoration as described above, the system for visualizing data based on homeland remediation and ecological restoration comprising:
the regional topography boundary analysis module is used for acquiring images of the territorial remediation area by utilizing a satellite remote sensing technology to obtain territorial remediation area images; carrying out regional topographic structure analysis according to the territorial remediation regional image to obtain regional topographic structure data; carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data;
The ecological loss analysis module is used for acquiring a historical atlas of the land remediation area; carrying out stratum structure evolution analysis according to the historical atlas of the land remediation area to obtain stratum structure evolution data; carrying out ecological coordination effect simulation according to stratum structure evolution data to obtain ecological coordination effect simulation data; carrying out ecological damage degree evaluation on the ecological coordination effect simulation data to obtain ecological damage degree data;
The ecological restoration coordination analysis module is used for calculating the ecological restoration difficulty of the ecological damage degree data to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data; performing restoration collaborative analysis according to the homeland ecological intervention restoration data to obtain ecological restoration collaborative data;
The ecological restoration feedback module is used for making an ecological restoration strategy based on the ecological restoration cooperative data to generate an ecological restoration coordination strategy; and carrying out ecological restoration real-time monitoring according to an ecological restoration coordination strategy to obtain ecological restoration real-time monitoring data, and uploading the ecological restoration real-time monitoring data to a terminal to execute visual display.
The method has the advantages that the image and the topographic structure data analysis obtained by the satellite remote sensing technology can comprehensively understand the topography, the fluctuation and the river distribution topographic features of the land and soil remediation area, provide basic data for subsequent remediation, can identify and understand the interrelationship among different topographic features through topographic boundary morphological coupling analysis, provide basis for formulating a reasonable remediation scheme, ensure the integrity and the harmony of the remediation, utilize a historical atlas to carry out stratum structure evolution analysis, can reveal the evolution trend of stratum, help to understand the evolution process of land, thereby providing historical reference for reasonable utilization of land resources, carry out ecological coordination effect simulation based on stratum structure evolution data, can predict the influence of remediation measures on an ecological system, is beneficial to formulating a sustainable development remediation scheme, and furthest reduces the adverse effect on the ecological environment; by evaluating the ecological damage degree of the ecological coordination effect simulation data, the potential influence of the remediation on the ecological system can be quantified, and scientific ecological risk evaluation is provided for a decision maker so as to take corresponding protection and repair measures; the method has the advantages that the difficulty degree of ecological restoration can be quantified by calculating the ecological restoration difficulty degree of ecological injury degree data, areas needing more resources and technical support can be processed preferentially, areas needing homeland ecological intervention restoration are clear according to comparison of the ecological restoration difficulty degree value and a threshold value, a decision maker can devote resources pertinently, restoration efficiency is improved, a cooperative relationship among different restoration areas can be identified by carrying out restoration cooperative analysis on homeland ecological intervention restoration data, scientific basis is provided for cooperative development of restoration work, overall restoration effect is improved, ecological restoration real-time monitoring is carried out according to an ecological restoration coordination strategy, restoration progress situation is known through real-time monitoring data, problems are found timely, and strategies are adjusted, flexibility and effect of restoration are improved, the ecological restoration real-time monitoring data are uploaded to a terminal and are visually displayed, visual information can be provided for decision makers and related stakeholders, rapid response and decision are promoted, and transparency and public power of restoration are improved. Therefore, the method is an optimization treatment for the traditional visualized method based on the territorial restoration and the ecological restoration data, solves the problems that the traditional visualized method based on the territorial restoration and the ecological restoration does not fully consider the difference of regional topography boundaries and the ecological restoration process is inaccurate, fully considers the difference of regional topography boundaries and monitors the ecological restoration process more accurately.
Drawings
FIG. 1 is a schematic flow chart of the steps of a visualized method based on homeland remediation and ecological restoration data;
FIG. 2 is a flowchart illustrating the detailed implementation of step S2 in FIG. 1;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
In order to achieve the above objective, please refer to fig. 1 to 2, a method for visualizing data based on homeland remediation and ecological restoration, comprising the following steps:
step S1: acquiring images of the land renovation area by using a satellite remote sensing technology to obtain images of the land renovation area; carrying out regional topographic structure analysis according to the territorial remediation regional image to obtain regional topographic structure data; carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data;
Step S2: acquiring a historical atlas of a land remediation area; carrying out stratum structure evolution analysis according to the historical atlas of the land remediation area to obtain stratum structure evolution data; carrying out ecological coordination effect simulation according to stratum structure evolution data to obtain ecological coordination effect simulation data; carrying out ecological damage degree evaluation on the ecological coordination effect simulation data to obtain ecological damage degree data;
Step S3: calculating the ecological restoration difficulty of the ecological damage degree data to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data; performing restoration collaborative analysis according to the homeland ecological intervention restoration data to obtain ecological restoration collaborative data;
Step S4: making an ecological restoration strategy based on the ecological restoration cooperative data to generate an ecological restoration coordination strategy; and carrying out ecological restoration real-time monitoring according to an ecological restoration coordination strategy to obtain ecological restoration real-time monitoring data, and uploading the ecological restoration real-time monitoring data to a terminal to execute visual display.
In the embodiment of the present invention, as described with reference to fig. 1, the step flow diagram of the visualized method based on the homeland repairing and ecological restoration data of the present invention is provided, and in this example, the visualized method based on the homeland repairing and ecological restoration data includes the following steps:
step S1: acquiring images of the land renovation area by using a satellite remote sensing technology to obtain images of the land renovation area; carrying out regional topographic structure analysis according to the territorial remediation regional image to obtain regional topographic structure data; carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data;
In the embodiment of the invention, satellite remote sensing image data of a homeland remediation area is acquired, remote sensing data provided by a satellite platform such as Landsat, sentinel and the like can be used for preprocessing the acquired image, including removing cloud, atmospheric correction and the like, ensuring clear and accurate surface information is obtained, interpreting the satellite remote sensing image, classifying ground objects in the image, such as water, vegetation and buildings, extracting the topographic features such as mountains, rivers and plains from the image and the elevation data by utilizing the remote sensing data or the topographic elevation information of other elevation data sources, integrating the acquired topographic structure data to form comprehensive topographic description, identifying boundaries between the topographic features by an edge detection algorithm or other image processing technologies, carrying out morphological analysis on boundaries, such as intersection and separation, associating the morphological analysis results with topographic structure data, establishing the corresponding relationship between topographic boundary morphology and structure, and outputting topographic boundary coupling data of the area, wherein the data can comprise the interrelation and the connection mode between the topographic features.
Step S2: acquiring a historical atlas of a land remediation area; carrying out stratum structure evolution analysis according to the historical atlas of the land remediation area to obtain stratum structure evolution data; carrying out ecological coordination effect simulation according to stratum structure evolution data to obtain ecological coordination effect simulation data; carrying out ecological damage degree evaluation on the ecological coordination effect simulation data to obtain ecological damage degree data;
In the embodiment of the invention, a historical map set of a domestic land remediation area is collected, the historical map set comprises map sets of terrains, land utilization, vegetation and the like in different periods, the historical map set is subjected to digital processing, a paper map or other non-digital map is converted into a digital format so as to facilitate subsequent analysis, the historical map set is interpreted, the changes of the terrains, the land utilization, the vegetation and the like in different periods are identified, the maps in different periods are subjected to space-time comparison, the evolution process of a stratum structure is determined, the change trend of the stratum structure is analyzed, the change trend of the stratum structure comprises the change of the terrains in height and the land utilization type, an ecological model is established by utilizing stratum structure evolution data, the ecological system state in different periods is simulated, the simulation result is obtained by analyzing the ecological coordination effect simulation data, the response of the ecological system to the stratum structure evolution is known, an index system for evaluating the ecological damage degree comprises vegetation condition, soil erosion degree and water quality is compared with actual observation data, the damage condition of the ecological system in the stratum structure process is evaluated, the ecological damage degree is output, the ecological damage degree data is reflected, and the structural change of the ecological system is adapted to the stratum structure.
Step S3: calculating the ecological restoration difficulty of the ecological damage degree data to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data; performing restoration collaborative analysis according to the homeland ecological intervention restoration data to obtain ecological restoration collaborative data;
In the embodiment of the invention, ecological restoration difficulty calculation is carried out on ecological damage degree data by using an ecological restoration evaluation algorithm, an ecological restoration difficulty value is compared with a preset ecological restoration difficulty threshold value, whether an intervention restoration condition is met is judged, for the area with the ecological restoration difficulty value being greater than or equal to the threshold value, the area is marked as territorial ecological intervention restoration data, relevant information of the marked area including geographic position and ecological restoration difficulty value is recorded, territorial ecological intervention restoration data and other relevant data are integrated, including surrounding ecological system state and resource distribution, the influence of various factors on restoration effect is considered, and the result of restoration synergy analysis is output, so that ecological restoration synergy data of each area are obtained.
Step S4: making an ecological restoration strategy based on the ecological restoration cooperative data to generate an ecological restoration coordination strategy; and carrying out ecological restoration real-time monitoring according to an ecological restoration coordination strategy to obtain ecological restoration real-time monitoring data, and uploading the ecological restoration real-time monitoring data to a terminal to execute visual display.
In the embodiment of the invention, the current situation of an ecological system is deeply analyzed based on ecological restoration cooperative data, including vegetation restoration condition, soil improvement degree and water purification effect, specific targets of ecological restoration are determined according to analysis results, such as biological diversity improvement, water quality improvement and soil erosion reduction, specific ecological restoration strategies are formulated in combination with the ecological restoration targets and actual conditions, the specific vegetation is planted, soil and water conservation measures are adopted, wetland restoration is pushed, the formulated strategies are converted into operable restoration schemes, the specific engineering measures, resource requirements and time schedule are included, key indexes for monitoring ecological restoration effects, such as vegetation coverage rate, soil humidity and water quality indexes are determined, monitoring points are set in restoration areas, and different areas of various ecological system types and restoration measures are covered, providing proper monitoring equipment including sensors, monitoring stations and the like, collecting various monitoring index data, operating the monitoring equipment, periodically collecting various monitoring index data in an ecological restoration area, uploading the collected monitoring data to a designated server or cloud storage center, processing and analyzing the uploaded monitoring data, including data cleaning, statistics and visualization processing, selecting proper visualization tools or software such as a Geographic Information System (GIS) and data visualization software, displaying the processed monitoring data in the form of a chart, a map and the like, clearly presenting ecological restoration effect and monitoring data change trend, designing an interface for displaying ecological restoration real-time monitoring data, including layout, color coding and labeling of data display, uploading the designed real-time monitoring interface to terminal equipment, such as computers, tablets, cell phones, etc., so that the relevant personnel can check the ecological restoration condition at any time.
The invention can comprehensively understand the topography, fluctuation and river distribution topography characteristics of a homeland remediation area through the analysis of the image and topography structure data obtained by the satellite remote sensing technology, provides basic data for subsequent remediation, can identify and understand the interrelationship among different topography characteristics through the topography boundary morphology coupling analysis, provides a basis for formulating a reasonable remediation scheme, ensures the integrity and harmony of the remediation, utilizes a historical atlas to carry out stratum structure evolution analysis, can reveal the evolution trend of stratum, helps to understand the evolution process of land, thereby providing historical reference for reasonable utilization of land resources, carries out ecological coordination effect simulation based on stratum structure evolution data, can predict the influence of remediation measures on an ecological system, is beneficial to formulating a sustainable development remediation scheme, and furthest reduces the adverse effect on ecological environment; by evaluating the ecological damage degree of the ecological coordination effect simulation data, the potential influence of the remediation on the ecological system can be quantified, and scientific ecological risk evaluation is provided for a decision maker so as to take corresponding protection and repair measures; the method has the advantages that the difficulty degree of ecological restoration can be quantified by calculating the ecological restoration difficulty degree of ecological injury degree data, areas needing more resources and technical support can be processed preferentially, areas needing homeland ecological intervention restoration are clear according to comparison of the ecological restoration difficulty degree value and a threshold value, a decision maker can devote resources pertinently, restoration efficiency is improved, a cooperative relationship among different restoration areas can be identified by carrying out restoration cooperative analysis on homeland ecological intervention restoration data, scientific basis is provided for cooperative development of restoration work, overall restoration effect is improved, ecological restoration real-time monitoring is carried out according to an ecological restoration coordination strategy, restoration progress situation is known through real-time monitoring data, problems are found timely, and strategies are adjusted, flexibility and effect of restoration are improved, the ecological restoration real-time monitoring data are uploaded to a terminal and are visually displayed, visual information can be provided for decision makers and related stakeholders, rapid response and decision are promoted, and transparency and public power of restoration are improved. Therefore, the method is an optimization treatment for the traditional visualized method based on the territorial restoration and the ecological restoration data, solves the problems that the traditional visualized method based on the territorial restoration and the ecological restoration does not fully consider the difference of regional topography boundaries and the ecological restoration process is inaccurate, fully considers the difference of regional topography boundaries and monitors the ecological restoration process more accurately.
Preferably, step S1 comprises the steps of:
Step S11: acquiring images of the land renovation area by using a satellite remote sensing technology to obtain images of the land renovation area;
Step S12: performing image contrast enhancement processing on the territorial remedied area image to obtain an area high-resolution image;
step S13: carrying out regional topographic structure analysis according to the regional high-resolution image to obtain regional topographic structure data;
Step S14: and carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data.
In the embodiment of the invention, a detailed image acquisition plan is formulated by utilizing a satellite remote sensing technology, so that all key geographic information covering the territorial remediation area is ensured to acquire images of the territorial remediation area; the method comprises the steps of carrying out basic preprocessing on acquired satellite images, including cloud layer removal and atmospheric correction, carrying out contrast enhancement processing by using professional image processing software such as ENVI, GDAL and the like, carrying out ground object interpretation by using high-resolution images, identifying various ground object features such as water bodies, vegetation and buildings, generating a digital elevation model based on satellite image data to obtain topographic information, extracting topographic features such as gradient, slope direction and elevation from DEM, arranging regional topographic structure data into a format suitable for analysis, including spatial distribution and attribute data of the topographic features, selecting a suitable topographic boundary morphological coupling analysis method such as GIS analysis and spatial statistics analysis, carrying out topographic boundary morphological coupling analysis, and identifying association relations and boundary features among different topographic elements.
The invention can comprehensively acquire the landform information of the land and soil remediation area by utilizing the satellite remote sensing technology, including the geographical features of mountains, rivers, lakes and the like, provide comprehensive basic data for subsequent remediation planning, provide real-time images by satellite remote sensing, enable the information of the land and soil remediation area to be updated in time, facilitate the sensitive perception of the change of terrains and landforms, adjust the remediation plan in time, enhance the contrast of the images to improve the definition and details of the images, obtain high-resolution images, display the surface features more clearly, provide more accurate data for refined topography analysis, enhance the contrast to reduce the shadow and illumination difference in the images, improve the image quality, reduce the information loss, enable topography structural analysis to be more accurate, utilize the high-resolution images to carry out topography structural analysis, extract topography features including gradient, topography relief and the like more accurately, and provide detailed basic data for subsequent topography boundary morphological coupling analysis; by combining the high-resolution image, finer three-dimensional terrain modeling can be performed, finer terrain information is provided, the deep understanding of the landform characteristics of the remediation area is facilitated, the relation among different terrain characteristics can be accurately identified through terrain boundary morphological coupling analysis, the relation comprises ridges and valleys, accurate boundary information is provided for the formulation of the remediation scheme, the terrain boundary morphological coupling analysis is conducive to forming integral terrain planning, the remediation scheme is more integral, and the coordination and the sustainability in the whole area are ensured.
Preferably, step S14 comprises the steps of:
Step S141: gridding modeling is carried out on the regional terrain structure data to obtain a regional terrain grid structure model;
Step S142: extracting a terrain turning boundary according to the regional terrain grid structure model to obtain a terrain turning boundary data set;
step S143: performing terrain turning slope inclination calculation on the terrain turning boundary data set to obtain terrain slope inclination data; calculating a terrain turning angle according to the slope data of the terrain slope to obtain terrain turning angle data;
step S144: performing terrain boundary stability evaluation according to the terrain slope inclination data and the terrain turning angle data to obtain terrain boundary stability data;
Step S145: performing terrain boundary numerical approximation on the slope data of the terrain slope and the turning angle data of the terrain based on the Richardson extrapolation method to obtain boundary numerical approximation data;
step S146: performing terrain boundary numerical integration according to the terrain slope inclination data and the terrain turning angle data to obtain terrain boundary approximate data; performing approximation error compensation on the terrain boundary approximation data according to the boundary value approximation data to obtain terrain boundary similarity compensation data;
Step S147: and carrying out terrain boundary morphological coupling analysis according to the terrain boundary similarity compensation data and the terrain boundary stability data to obtain regional terrain boundary coupling data.
In the embodiment of the invention, regional topographic structure data is imported into a computing environment, the consistency and the integrity of a data format are ensured, the topographic structure data is converted into a grid model by using a grid division algorithm, the proper grid density and the proper structure are ensured, the generated grid model is optimized, the accuracy and the consistency of the model and the original topographic data are ensured, the grid model is utilized to detect the topographic turning boundary, the edge and the changing point between grids are found, the topographic turning point, namely the point with more obvious topographic change is identified and extracted as a key node of the topographic turning boundary, the gradient of each slope is calculated by utilizing the extracted topographic turning boundary data, using mathematical models and algorithms, such as slope calculation or curve fitting, to obtain the accurate slope of the slope, and calculating the angle of each terrain turning point, namely the terrain turning angle, by using slope data; according to the slope data of the terrain slope and the turning angle data of the terrain, the methods take the slope of the slope, the geometric shape of the terrain and other relevant factors into consideration by using a mathematical model and a topography principle, and the stability data of each terrain boundary point is obtained by calculating by using a selected stability evaluation method. This may be a quantified indicator for indicating the stability level of the boundary point; the slope data of the terrain slope and the turning angle data of the terrain are used, which are obtained in step S144. Ensuring that the data format and quality are appropriate for the application of Richardson extrapolation, the principles of Richardson extrapolation are understood. The method is generally used for numerical approximation, the accuracy of numerical solution is improved by combining calculation results with different accuracies, and the Richardson extrapolation is applied to the slope data of the terrain slope and the turning angle data of the terrain. Proper extrapolation times and step length are required to be selected to obtain a required value approximation result, and terrain boundary value approximation data obtained through Richardson extrapolation is obtained; integrating the slope data of the terrain slope and the turning angle data of the terrain to obtain the numerical representation of the terrain boundary, selecting a proper integrating method such as a trapezoid rule or a simpson rule according to the property of the data, utilizing the boundary numerical approximation data to calculate approximation errors, including calculating the difference between the original data and the approximation data, compensating the numerical integration result according to the difference to improve the approximation precision of the terrain boundary, combining approximation error compensation to obtain corrected terrain boundary data, namely terrain boundary similarity compensation data, wherein the aim of the step is to improve the accuracy of the numerical integration result through the compensation of the approximation errors, the terrain boundary similarity compensation data obtained in step S146 is used, together with the terrain boundary stability data obtained previously. The method comprises the steps of ensuring that the data format and quality meet the requirements of morphological coupling analysis, selecting a proper morphological coupling analysis method, and relating to a mathematical model, a topography theory and a statistical method, wherein the step aims at understanding morphological characteristics of a topography boundary, taking stability and approximation errors into consideration, applying the selected morphological coupling analysis method, combining topography boundary similarity compensation data and stability data, carrying out topography boundary morphological coupling analysis, including extraction and trend analysis of the morphological characteristics, and obtaining regional topography boundary coupling data, wherein the regional topography boundary coupling data reflect the morphological coupling characteristics of the topography boundary.
According to the invention, high-precision terrain representation can be provided by gridding modeling of regional terrain structure data, microscopic features of the terrain are captured in more detail, an accurate basis is provided for subsequent analysis, the gridding modeling ensures spatial consistency, so that the terrain structure can be consistently represented in the whole region, a consistent basis is provided for subsequent terrain turning boundary extraction, the terrain turning boundary extraction is performed according to a terrain grid structure model, turning points of the terrain can be accurately defined, a change region of the terrain features is identified, a clearly defined terrain boundary is provided for terrain analysis, the terrain turning boundary extraction is favorable for dividing the terrain structure of the whole region into smaller units, more specific terrain features are provided, an accurate slope information of each terrain slope is provided for subsequent slope calculation basis, data is provided for terrain slope analysis by carrying out slope calculation on a data set, the directivity and angle of the terrain turning angle can be revealed, and important terrain structure data is provided for research fields such as geography and ecology; the stability of the terrain boundary can be evaluated through the data of the slope inclination and the turning angle of the terrain, the information about whether the terrain is easy to generate landslide, collapse and other geological disasters is provided, scientific basis is provided for safety evaluation, the data of the stability of the terrain boundary can be used for planning and construction projects, evaluation of suitability of the terrain boundary is provided, development in unstable areas is avoided, sustainable urban planning and land utilization are facilitated, the Richardson extrapolation method is used for carrying out numerical approximation on the slope inclination and the turning angle data, high-precision boundary numerical approximation data are provided, the terrain characteristic can be described more accurately, support is provided for the numerical stability of a model, the numerical integration of the terrain boundary and approximation error compensation are facilitated to improve the accuracy of boundary approximation, the terrain characteristic is captured more accurately, more reliable data are provided for follow-up analysis and application, the morphological coupling analysis of the boundary similarity compensation data and the boundary stability data are integrated, comprehensive analysis is provided for comprehensively understanding the morphology of the terrain boundary, the method can be used for environmental protection and natural resource management, the potential terrain boundary can be identified, and the risk of the related risk is facilitated to be reduced by taking geological coupling analysis.
Preferably, step S2 comprises the steps of:
Step S21: acquiring a historical atlas of a land remediation area;
step S22: carrying out surface ecological evolution analysis on the historical atlas of the land remediation area to obtain surface ecological evolution data;
Step S23: carrying out stratum structure evolution analysis according to the territory renovation area history atlas and the area terrain boundary coupling data to obtain stratum structure evolution data;
step S24: carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the stratum structure evolution data to obtain ecological coordination effect simulation data;
Step S25: and carrying out ecological damage degree assessment on the earth surface ecological evolution data and the ecological coordination effect simulation data to obtain ecological damage degree data.
As an example of the present invention, referring to fig. 2, the step S2 in this example includes:
Step S21: acquiring a historical atlas of a land remediation area;
in the embodiment of the invention, the specific range of the homeland remediation is determined, investigation and planning work are carried out to clearly acquire the regional range of the historical atlas, the historical atlas is acquired from the historical record and the geographic information disclosed on the network, and finally the homeland remediation regional historical atlas is obtained.
Step S22: carrying out surface ecological evolution analysis on the historical atlas of the land remediation area to obtain surface ecological evolution data;
In the embodiment of the invention, the historical atlas data is preprocessed, including image correction, format conversion and denoising, so as to ensure the data quality, the historical atlas is classified into different ecology types by utilizing a remote sensing technology and a geologic information system, the earth surface is divided into different ecology types, such as forests, grasslands and lakes, the atlas data at different time points are compared by using a change detection technology, the change of the earth surface ecology is identified and recorded, including vegetation coverage change and land utilization change, quantitative and qualitative analysis of the earth surface ecology evolution data is carried out, key ecology evolution information, such as area change and adjustment of an ecosystem structure, the earth surface ecology evolution data is presented in the form of a chart, a map and the like, so that the condition of earth surface ecology evolution can be better understood and conveyed.
Step S23: carrying out stratum structure evolution analysis according to the territory renovation area history atlas and the area terrain boundary coupling data to obtain stratum structure evolution data;
In the embodiment of the invention, the topography data of the homeland remediation area is collected and arranged, including the relief elevation, the topography map and the geological map, the related geological investigation data including the information of stratum distribution, lithology, structure and the like are obtained, so as to support stratum structure evolution analysis, the topography data and the geological data are integrated, data format conversion is carried out, the consistency and the usability of the data are ensured, a mathematical model of stratum structure evolution is established based on the collected topography and geological data, the geomechanics and the structure activities are considered, the stratum structure evolution model is utilized, the evolution process of stratum structures at different time points is simulated, the change trend and influence factors of stratum are analyzed, and the stratum structure data are presented in the form of graph, chart and the like so as to better understand the change of stratum structures.
Step S24: carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the stratum structure evolution data to obtain ecological coordination effect simulation data;
In the embodiment of the invention, the earth surface ecological evolution data and stratum structure evolution data obtained in the steps are utilized to prepare input data required by simulation, a mathematical model of an ecological coordination effect is designed, the influence of a stratum structure on an ecological system is considered, various ecological parameters and association relations are determined, the earth surface ecological evolution data is simulated by utilizing the ecological coordination model, the regulation and coordination effects of the stratum structure evolution on the ecological system are considered, the simulation result is analyzed, the change of the ecological coordination effect in different stratum structure evolution stages is evaluated, the influence of key factors on the ecological system is identified, and the ecological coordination effect simulation data is presented in a visual mode, such as a chart, a map and the like, so that the simulation result is better conveyed, and finally the ecological coordination effect simulation data is obtained.
Step S25: and carrying out ecological damage degree assessment on the earth surface ecological evolution data and the ecological coordination effect simulation data to obtain ecological damage degree data.
In the embodiment of the invention, the surface ecological evolution data and the ecological coordination effect simulation data obtained in the step S24 are collected and arranged, the accuracy and the integrity of the data are ensured, and an ecological damage evaluation model is designed, wherein the model should consider various indexes and parameters of an ecological system and the ecological coordination effect simulation data. The model can be established by adopting a mathematical model, a statistical method, a GIS (geographic information system) and other tools, and the ecological damage evaluation model is utilized to analyze and calculate the surface ecological evolution data and the ecological coordination effect simulation data. The method involves mathematical and statistical techniques such as weight distribution and normalization processing of different parameters, and the ecological damage degree of each region or plot is evaluated according to the calculation result of an evaluation model. This may be a quantitative assessment, e.g., using an index or percentage to represent the extent of damage, or a qualitative assessment, e.g., divided into mild, moderate and severe grades, where the ecological damage extent data is visually presented, e.g., by generating a thermodynamic diagram, histogram, spatial profile, etc. of the extent of ecological damage, so that decision makers and stakeholders can more easily understand and use the assessment results, formulate appropriate ecological restoration and protection measures to alleviate or restore ecological damage, protect the stability and health of the ecosystem, and obtain the ecological damage extent data, based on the results of the ecological damage extent assessment.
The invention provides a historical atlas of a homeland remediation area, provides basic data for subsequent earth surface ecological evolution and stratum structure evolution analysis, is helpful for understanding the evolution process and change trend of the area, and provides scientific basis for understanding the ecological evolution analysis of the historical atlas, revealing the change trend of earth surface ecology of the homeland remediation area, is helpful for understanding the dynamic evolution of an ecological system, provides information support for environmental protection and sustainable development, utilizes the historical atlas and terrain boundary coupling data to carry out stratum structure evolution analysis, provides information about the evolution of an underground structure, has important significance for geological research and resource management, utilizes stratum structure evolution data to carry out ecological coordination effect simulation on earth surface ecological evolution data, provides deep understanding of the interrelation between an ecological system and an underground structure, provides scientific basis for ecological environment protection and sustainable resource utilization, carries out ecological damage degree evaluation on earth surface ecological evolution data and ecological coordination effect simulation data, and provides comprehensive evaluation on ecological health conditions of the homeland remediation area. This helps identify potential ecological risks and take measures to repair, provides scientific data for decision makers to understand the health of the ecosystem, helps formulate environmental management policies, plan homeland remediation projects, and take measures to protect and restore the damaged ecosystem.
Preferably, step S24 comprises the steps of:
step S241: performing ground stress change simulation according to stratum structure evolution data to obtain ground stress change simulation data;
step S242: performing stress fluctuation analysis according to the ground stress change simulation data to obtain stress fluctuation change data; performing stress fluctuation intensity assessment according to the stress fluctuation change data to obtain stress fluctuation intensity data;
Step S243: carrying out ground stress ecological influence effect evaluation based on the stress fluctuation intensity data to obtain ground stress ecological influence effect data;
Step S244: and carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the ground stress ecological influence effect data to obtain ecological coordination effect simulation data.
In the embodiment of the invention, stratum structure evolution data including geological structure, stratum thickness and lithology information are collected, accuracy and integrity of the data are ensured, a mathematical or physical model of ground stress change is established based on the stratum structure evolution data, the ground stress change at different depths is simulated by considering the factors of ground crust movement, rock deformation and the like, the established ground stress model is utilized to carry out numerical simulation of the ground stress change, methods such as finite element analysis, numerical calculation and the like are involved to simulate the evolution of a ground stress field, and ground stress change simulation data are generated based on a numerical simulation result to represent the change of ground stress states at different depths and positions along with time; the ground stress variation simulation data obtained in the step S241 is used as input data for subsequent analysis, the ground stress variation simulation data is subjected to fluctuation analysis, periodic variation and fluctuation characteristics of stress are identified, fourier transformation can be adopted, the result of the stress fluctuation analysis is extracted, data representing the ground stress fluctuation is obtained, the data comprising amplitude and frequency are obtained, the evaluation of the stress fluctuation intensity is carried out based on the stress fluctuation variation data, quantification and standardization of the amplitude are involved, quantitative indexes of the intensity are obtained, the stress fluctuation intensity data obtained in the step S242 are used as the input data of the evaluation, a model is designed, the ground stress fluctuation intensity is related to the influence of an ecological system, the sensitivity and the adaptability of the ecological system are required to be considered, and the established model is used for evaluating the ecological influence effect on the ground stress fluctuation intensity data. The method comprises the steps of obtaining ground stress ecological influence effect data, representing potential influence of ground stress on an ecological system, using the ground stress ecological influence effect data obtained in the step S243 as input data of ecological coordination effect simulation, designing a model, correlating the ground stress ecological influence effect with ground surface ecological evolution data, wherein the model reflects long-term influence of the ground stress on the ecological system, simulating the ground stress ecological influence effect data by using the established model, and relating to a time sequence analysis method to simulate the evolution process of the ecological system, generating ecological coordination effect simulation data based on simulation results, and representing long-term influence of the ground stress on the ground surface ecological evolution.
According to the method, the space-time change condition of the underground stress in the region is obtained by performing ground stress change simulation according to stratum structure evolution data, an exhaustive data basis is provided for understanding the stress state of the underground structure, the ground stress change simulation data is utilized for performing stress fluctuation analysis, the fluctuation characteristics of the underground stress are revealed, potential geological activities or underground structure changes are identified, stress fluctuation intensity assessment is performed according to the stress fluctuation change data, and quantitative assessment of the underground stress fluctuation degree is provided. The method is beneficial to determining the stability and potential geological risks of the underground structure, carrying out the evaluation of the effect of the ecological influence of the ground stress on the ecological system based on the stress fluctuation intensity data, evaluating the effect of the underground stress on the ecological system, providing scientific evaluation about the potential effect of the underground structure change on the ecological environment, carrying out ecological coordination effect simulation on the ground surface ecological evolution data according to the effect data of the ground stress ecological influence, enabling understanding of how the underground structure change affects the ground surface ecological system, providing more comprehensive evaluation of the ecological effect, combining the underground structure evolution data with the ground surface ecological evolution data, providing comprehensive knowledge of the mutual effect between geology and the ecological system, providing scientific support for geological activity and ecological environment management, helping to identify the potential geological risk and formulating effective ecological environment protection strategies, providing scientific data base and simulation results, providing scientific decision support for government decision makers and environmental protection institutions, and helping balance the relationship between geological resource development and ecological environment protection.
Preferably, step S25 comprises the steps of:
Step S251: extracting the surface vegetation evolution process of the surface ecological evolution data to obtain the surface vegetation evolution data;
step S252: performing magnetic field change simulation according to the ecological coordination effect simulation data and the stratum structure evolution data to obtain magnetic field change simulation data;
step S253: carrying out geomagnetic inclination calculation on the magnetic field change simulation data to obtain regional geomagnetic inclination data;
step S254: performing magnetic field change data weighting on the magnetic field change simulation data according to the regional geomagnetic inclination angle data to obtain magnetic field change weighting data;
step S255: performing weighted nearest neighbor interpolation on the magnetic field change simulation data according to the magnetic field change weighting data to obtain magnetic field nearest neighbor interpolation data;
step S256: carrying out relevant factor correlation analysis on the surface vegetation evolution data according to the nearest neighbor interpolation data of the magnetic field to obtain magnetic field correlation influence data;
step S257: and carrying out ecological damage degree assessment according to the magnetic field association influence data and the earth surface ecological evolution data to obtain ecological damage degree data.
In the embodiment of the invention, the accuracy and the comprehensiveness of the data are ensured by utilizing the surface ecological evolution data, including vegetation type, coverage, seasonal change and other information, and the time sequence analysis is performed based on the extracted vegetation evolution process so as to identify the modes of vegetation such as dynamic change, seasonal change and the like. The method is favorable for establishing a mathematical or statistical model of vegetation evolution, generating surface vegetation evolution data according to analysis results, representing types, coverage and variation trends of vegetation in different periods, utilizing ecological coordination effect simulation data and stratum structure evolution data as input data of magnetic field change simulation, and establishing a mathematical or physical model of magnetic field change based on the stratum structure evolution data and the ecological coordination effect simulation data. The method comprises the steps of considering the influence of magnetic change of underground rock on a magnetic field, performing numerical simulation of the magnetic field change by using an established magnetic field model, simulating the evolution of the underground magnetic field, generating magnetic field change simulation data based on a numerical simulation result, representing the change of the state of the geomagnetic field in different periods along with time, performing geomagnetic inclination calculation on the magnetic field change simulation data by using the magnetic field change simulation data as input data of geomagnetic inclination calculation, wherein the geomagnetic inclination is the included angle between an earth magnetic field line and a horizontal plane, and can be obtained by geomagnetic field model calculation, and generating regional geomagnetic inclination data based on calculation results, representing the geomagnetic inclination conditions of different places and periods. This helps to understand the spatial distribution and trend of the geomagnetic field; and collecting regional geomagnetic inclination angle data and magnetic field change simulation data. The quality and the accuracy of the data are ensured, the magnetic field change simulation data are weighted, the weighted magnetic field change data are calculated, the method can be realized by multiplying each simulation data point by the weight of the corresponding geomagnetic inclination angle, the weight can be adjusted according to the geomagnetic inclination angle, the obtained weighted magnetic field change data are stored as a new data set, the magnetic field change condition considering the geomagnetic inclination angle is expressed, and the data integrity is ensured by utilizing the magnetic field change weighting data. Determining adjacent data points required by interpolation, carrying out weighted nearest neighbor interpolation on the magnetic field change weighted data, carrying out interpolation calculation by using surrounding data points in order to obtain values of missing points or higher resolution data, taking the weights of the surrounding data points in the interpolation process into consideration, and saving the interpolation calculation result as a new data set to represent more continuous and higher resolution magnetic field change data; and the consistency and the integrity of the data are ensured by using the magnetic field nearest neighbor interpolation data and the surface vegetation evolution data. The method comprises the steps of cleaning and preprocessing data, processing missing values and abnormal values, carrying out correlation analysis on magnetic field nearest neighbor interpolation data and ground surface vegetation evolution data by using a statistical or machine learning method, wherein the method can comprise the steps of calculating correlation coefficients, determining influence factors of magnetic fields on vegetation evolution by using a regression model method, and ensuring consistency and integrity of the data by utilizing the magnetic field correlation influence data and ground surface ecological evolution data. The data is cleaned and preprocessed to process missing and outliers and to select an appropriate ecological damage assessment model, which may be a rule-based expert system, a machine learning model, or other mathematical model. The model is selected by taking into account data characteristics and problem requirements, training the selected model, and evaluating the performance of the model using the validation dataset. And (3) adjusting model parameters to improve accuracy and generalization capability, evaluating magnetic field association influence data and ground surface ecological evolution data by using a trained model to obtain a quantitative result of ecological damage degree, wherein the data reflect the degree of influence of magnetic field change on an ecological system, and finally obtaining ecological damage degree data.
The invention extracts the vegetation evolution process from the ground surface ecological evolution data to obtain detailed data about vegetation change, which provides a basis for understanding the dynamic change of the ground surface ecological system and is helpful for monitoring vegetation coverage, type distribution and other information; and performing magnetic field change simulation by using ecological coordination effect simulation data and stratum structure evolution data, and revealing the influence of underground structure change on a magnetic field. The method is favorable for researching the response of the geomagnetic field in the underground structure change, and regional geomagnetic inclination angle data is obtained by performing geomagnetic inclination angle calculation on the magnetic field change simulation data. The method provides important information for solving the spatial distribution of the geomagnetic field, is helpful for researching geophysical phenomenon, and performs weighting processing on the magnetic field change simulation data according to regional geomagnetic inclination angle data to obtain magnetic field change weighting data. The method is helpful for reflecting the actual influence of the underground structure change on the magnetic field more accurately, improving the credibility of analog data, and obtaining finer and high-resolution magnetic field data by carrying out nearest neighbor interpolation on the magnetic field change weighted data. The method is favorable for more accurately reflecting local changes of the geomagnetic field, improves the space-time precision of magnetic field simulation data, utilizes the nearest neighbor interpolation data of the magnetic field to perform relevant factor association analysis on the ground vegetation evolution data, and reveals the potential relation between the magnetic field changes and the ground vegetation evolution. The method is helpful for knowing the influence mechanism of the geomagnetic field on the ecological system, combining the magnetic field associated influence data with the ground surface ecological evolution data, and evaluating the ecological damage degree. By analyzing the influence of the magnetic field on vegetation evolution, the potential damage degree of geomagnetic field change on the ecological system can be quantified, and a method for comprehensively evaluating the influence of geomagnetic field change on the ecological system is provided. The method is favorable for formulating ecological protection policies and management measures, protecting ecological balance and biodiversity, evaluating ecological damage degree data can provide scientific basis for decision makers, supports formulating reasonable land utilization planning and resource management strategies, ensures sustainable development, simultaneously furthest reduces adverse effects on an ecological system, evaluates the damage degree of the ecological system by considering local effects of magnetic field changes, ensures finer and more specific ecological risk evaluation, and is favorable for taking targeted ecological protection measures.
Preferably, step S3 comprises the steps of:
Step S31: performing ecological restoration difficulty calculation on the ecological damage degree data by using an ecological restoration evaluation algorithm to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is smaller than a preset ecological restoration difficulty threshold value, performing natural restoration treatment on the land restoration area, marking the area as a natural restoration area, and feeding back to the terminal;
Step S32: when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data;
step S33: classifying ecological restoration types of the homeland ecological intervention restoration data to obtain ecological restoration type data;
Step S34: and carrying out restoration synergy analysis according to the ecological restoration type data to obtain ecological restoration synergy data.
In the embodiment of the invention, the selected ecological restoration evaluation algorithm is used for processing the ecological damage degree data to obtain the ecological restoration difficulty value. The method involves weighing and weighting ecological damage degree data to consider the influence of different factors on the repair difficulty, and comparing the calculated ecological repair difficulty value with a preset ecological repair difficulty threshold. If the ecological restoration difficulty value is smaller than the threshold value, natural restoration processing is executed; otherwise, performing the homeland ecological intervention repair, marking the homeland repair area as a natural repair area, feeding back the information to the terminal for further management and monitoring, marking the homeland repair area with the ecological repair difficulty value larger than or equal to a preset threshold value as homeland ecological intervention repair data, selecting a classification algorithm suitable for the homeland ecological intervention repair data to determine ecological repair types of different areas, including a clustering algorithm and a decision tree, and classifying the ecological repair types by using the marked homeland ecological intervention repair data. Preprocessing data, ensuring the quality and consistency of the data, classifying the homeland ecological intervention repair data to obtain ecological repair type data, wherein the types can represent different ecological repair strategies or schemes, and selecting a cooperativity analysis algorithm suitable for the ecological repair type data to determine cooperativity among different ecological repair types. This may include association rule mining, network analysis, and repair synergy analysis using ecological repair type data. The consistency and the accuracy of the data are ensured, the selected algorithm is used for analyzing the ecological restoration type data to obtain ecological restoration cooperative data, and the data can reveal the interrelationship among different ecological restoration types, thereby being beneficial to making a more comprehensive and effective ecological restoration plan.
According to the invention, the ecological restoration evaluation algorithm is used for analyzing the ecological damage degree data to obtain the ecological restoration difficulty value. The method is favorable for quantifying the damage degree of the ecological system, provides scientific basis, enables a decision maker to know the complexity of the ecological environment more accurately, and adopts natural restoration treatment when the ecological restoration difficulty value is lower than a set threshold value. This shows that in some areas, natural repair can effectively promote the ecosystem to repair itself, thereby reducing the need for human intervention, reducing the cost of ecological repair, marking the natural repair area and feeding information back to the terminal. The method is helpful for timely informing relevant stakeholders and decision makers, so that the stakeholders and decision makers can know which areas can be repaired by relying on a natural process, the overall repair efficiency is improved, and when the ecological repair difficulty value is higher than a set threshold value, the territory repair area is marked as an area needing territory ecological intervention repair. The method is helpful for identifying the areas needing manual intervention and management, ensuring that effective repair measures are adopted at key places, classifying the territorial ecological intervention repair data and classifying the territorial ecological intervention repair data into different ecological repair types. The method is helpful for accurately determining the repair method applicable to each area, improving the pertinence and the effect of repair, and carrying out repair synergy analysis according to ecological repair type data. The method is favorable for identifying ecological restoration measures which can be implemented simultaneously or cooperatively, improves restoration efficiency to the greatest extent, provides decision support by analyzing restoration cooperativity, helps decision makers optimize resource allocation, and ensures efficient promotion of restoration work. The method is also beneficial to avoiding resource waste, improving the feasibility and effect of overall ecological restoration, and providing intelligent decision support by the system through an automatic ecological restoration evaluation and classification process, so that a decision maker can take corresponding actions more quickly and accurately, optimize the ecological restoration process, and realize the maximum ecological restoration benefit under the minimum cost by natural restoration treatment and targeted manual intervention. This helps to achieve maximum ecological protection and repair results with limited resources.
Preferably, the ecological restoration evaluation algorithm in step S31 is as follows:
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In the method, in the process of the invention, Represents the ecological restoration difficulty value,/>Representing the longest time value of ecological restoration,/>Ecological damage degree coefficient representing ecological damage degree data,/>Complex coefficient representing ecology,/>Representing a time-varying repair influence coefficient,/>Representing the dynamic change coefficient of biomass,/>Weight value representing region to be repaired,/>Representing the implementation difficulty coefficient of ecological environment restoration technology,/>Representing the rate of change of the ecological environment,/>And representing the error correction value of the ecological restoration evaluation algorithm.
According to the method, an ecological restoration evaluation algorithm is constructed by referring to related technical documents and consulting the technical personnel in the field, and the ecological restoration evaluation algorithm comprehensively considers the influence of factors such as ecological damage degree, ecological complexity degree, time change, biomass change, weight of an area to be restored, restoration technology implementation difficulty, ecological environment change rate and the like on ecological restoration difficulty. Such comprehensive metrics can help assess the difficulties and challenges one is faced with in performing ecological restoration, thereby helping to formulate a more efficient ecological restoration scheme. The algorithm fully considers the longest time value of ecological restorationThis parameter reflects the time frame required for ecological restoration, longer/>The value means that ecological restoration requires more time to complete, thus increasing the difficulty value of restoration/>; Ecological injury degree coefficient/>, of ecological injury degree dataThe weight of the ecological damage degree data is measured and used for adjusting the influence of the ecological damage degree on the repair difficulty, and the method is large in/>The value will increase the influence of the ecological damage degree, so that the ecological restoration difficulty value/>Higher, thus can reflect the damage degree of the ecological system more accurately; coefficient of complexity of ecologyGreater/>The value will increase the ecological restoration difficulty value/>Because complex ecosystems typically require more effort and resources to repair; time-varying repair influence coefficient/>The coefficient represents the extent of influence of time on repair, greater/>The value will increase the ecological restoration difficulty value/>As the repair of the ecosystem becomes more difficult over time; dynamic coefficient of variation of biomass/>Biomass refers to the total mass or quantity of organisms in an ecological system, the coefficient is used for considering the dynamic change condition of the biomass in the ecological restoration process, and the ecological restoration difficulty value/>, caused by the change of the biomass, can be better considered by integrating the change of the biomassIs a function of (1); weight value/>, of area to be repairedThis value represents the importance of the region to be repaired, greater/>The value will increase the ecological restoration difficulty value/>As more attention and resources are needed to repair more important areas; implementation difficulty coefficient/>The coefficient represents the implementation difficulty of the ecological environment restoration technology, and is largerThe value will increase the ecological restoration difficulty value/>Because more resources and expertise are required to implement the more difficult repair technique; ecological environment rate of change value/>This value represents the rate of change of the ecological environment, greater/>The value will increase the ecological restoration difficulty value/>Because rapidly changing environments require more urgent and rapid repair measures; error correction value/>, of ecological restoration evaluation algorithmThis value represents an error correction of the algorithm, greater/>The value will increase the ecological restoration difficulty value/>To more accurately account for errors in the algorithm.
Preferably, step S34 includes the steps of:
Step S341: performing different repair type association degree evaluation on the ecological repair type data to obtain repair type association data;
step S342: performing standardized processing on the repair type association data to obtain repair type association standard data;
Step S343: constructing an associated directed graph according to the repair type association standard data to obtain a repair type association directed graph; performing directed graph node centrality evaluation according to the repair type associated directed graph to obtain repair type node central data;
step S344: and carrying out repair collaborative analysis on the repair type association directed graph according to the repair type node central data to obtain ecological repair collaborative data.
In the embodiment of the invention, a relevance evaluation method suitable for ecological restoration type data is selected, and comprises the steps of calculating a correlation coefficient and measuring similarity, and performing relevance evaluation on data of different restoration types to obtain restoration type related data. The correlation among different repair types can be reflected, and the repair type association data is subjected to standardized processing to obtain repair type association standard data. This helps to eliminate the effects of different scales and units, where normalization methods include Z-Score normalization, min-max normalization; and constructing an association directed graph by using the repair type association standard data, wherein each node represents one repair type in the graph, the edges represent the association relationship between the nodes, and carrying out node centrality evaluation on the constructed association directed graph. This may include centrality, near centrality, etc. for measuring the importance of nodes in the network, using the node centrality data, assigning a corresponding centrality score to each node, selecting a repair synergy analysis method suitable for use with the associated directed graph. The method can comprise a collaborative analysis method based on centrality, and collaborative analysis is carried out on the repair type association directed graph by utilizing the repair type node central data to obtain ecological repair collaborative data. This helps to understand the synergistic relationship between different repair types and provides information for the formulation of a comprehensive ecological restoration plan.
According to the invention, through carrying out association evaluation on the ecological restoration type data, the correlation between different restoration types can be comprehensively considered, more comprehensive information is provided for subsequent restoration decisions, the restoration type association data is established through the association evaluation, a key data basis is provided for further analysis, the standardization processing ensures the consistency of the data, the deviation caused by different data sources or different measurement units is facilitated to be eliminated, the comparability of the data is improved, the standardized data is easier to compare and analyze, the subsequent steps are simpler and more accurate, the association between different restoration types can be clearly shown in a directed graph form, the visual understanding of the complex relationship is improved, the restoration type with key influence in ecological restoration can be determined through carrying out node centrality evaluation on the directed graph, the establishment of optimization restoration strategy is facilitated, the cooperative analysis on the node centrality data can be used for identifying which restoration types are better in the aspect of cooperation, the scientific basis is provided for cooperative restoration, the ecological restoration data is facilitated to optimize the restoration strategy, and the cooperative restoration effect between different restoration types is greatly improved, and the overall ecological restoration system is improved.
Preferably, the present invention also provides a system for visualizing data based on homeland remediation and ecological restoration, for executing the method for visualizing data based on homeland remediation and ecological restoration as described above, the system for visualizing data based on homeland remediation and ecological restoration comprising:
the regional topography boundary analysis module is used for acquiring images of the territorial remediation area by utilizing a satellite remote sensing technology to obtain territorial remediation area images; carrying out regional topographic structure analysis according to the territorial remediation regional image to obtain regional topographic structure data; carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data;
The ecological loss analysis module is used for acquiring a historical atlas of the land remediation area; carrying out stratum structure evolution analysis according to the historical atlas of the land remediation area to obtain stratum structure evolution data; carrying out ecological coordination effect simulation according to stratum structure evolution data to obtain ecological coordination effect simulation data; carrying out ecological damage degree evaluation on the ecological coordination effect simulation data to obtain ecological damage degree data;
The ecological restoration coordination analysis module is used for calculating the ecological restoration difficulty of the ecological damage degree data to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data; performing restoration collaborative analysis according to the homeland ecological intervention restoration data to obtain ecological restoration collaborative data;
The ecological restoration feedback module is used for making an ecological restoration strategy based on the ecological restoration cooperative data to generate an ecological restoration coordination strategy; and carrying out ecological restoration real-time monitoring according to an ecological restoration coordination strategy to obtain ecological restoration real-time monitoring data, and uploading the ecological restoration real-time monitoring data to a terminal to execute visual display.
The invention can comprehensively understand the topography, fluctuation and river distribution topography characteristics of a homeland remediation area through the analysis of the image and topography structure data obtained by the satellite remote sensing technology, provides basic data for subsequent remediation, can identify and understand the interrelationship among different topography characteristics through the topography boundary morphology coupling analysis, provides a basis for formulating a reasonable remediation scheme, ensures the integrity and harmony of the remediation, utilizes a historical atlas to carry out stratum structure evolution analysis, can reveal the evolution trend of stratum, helps to understand the evolution process of land, thereby providing historical reference for reasonable utilization of land resources, carries out ecological coordination effect simulation based on stratum structure evolution data, can predict the influence of remediation measures on an ecological system, is beneficial to formulating a sustainable development remediation scheme, and furthest reduces the adverse effect on ecological environment; by evaluating the ecological damage degree of the ecological coordination effect simulation data, the potential influence of the remediation on the ecological system can be quantified, and scientific ecological risk evaluation is provided for a decision maker so as to take corresponding protection and repair measures; the method has the advantages that the difficulty degree of ecological restoration can be quantified by calculating the ecological restoration difficulty degree of ecological injury degree data, areas needing more resources and technical support can be processed preferentially, areas needing homeland ecological intervention restoration are clear according to comparison of the ecological restoration difficulty degree value and a threshold value, a decision maker can devote resources pertinently, restoration efficiency is improved, a cooperative relationship among different restoration areas can be identified by carrying out restoration cooperative analysis on homeland ecological intervention restoration data, scientific basis is provided for cooperative development of restoration work, overall restoration effect is improved, ecological restoration real-time monitoring is carried out according to an ecological restoration coordination strategy, restoration progress situation is known through real-time monitoring data, problems are found timely, and strategies are adjusted, flexibility and effect of restoration are improved, the ecological restoration real-time monitoring data are uploaded to a terminal and are visually displayed, visual information can be provided for decision makers and related stakeholders, rapid response and decision are promoted, and transparency and public power of restoration are improved. Therefore, the method is an optimization treatment for the traditional visualized method based on the territorial restoration and the ecological restoration data, solves the problems that the traditional visualized method based on the territorial restoration and the ecological restoration does not fully consider the difference of regional topography boundaries and the ecological restoration process is inaccurate, fully considers the difference of regional topography boundaries and monitors the ecological restoration process more accurately.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (2)
1. The visualized method based on the homeland remediation and ecological restoration data is characterized by comprising the following steps of:
Step S1: acquiring images of the land renovation area by using a satellite remote sensing technology to obtain images of the land renovation area; carrying out regional topographic structure analysis according to the territorial remediation regional image to obtain regional topographic structure data; carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data; wherein, step S1 includes:
Step S11: acquiring images of the land renovation area by using a satellite remote sensing technology to obtain images of the land renovation area;
Step S12: performing image contrast enhancement processing on the territorial remedied area image to obtain an area high-resolution image;
step S13: carrying out regional topographic structure analysis according to the regional high-resolution image to obtain regional topographic structure data;
Step S14: carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data; wherein, step S14 includes:
Step S141: gridding modeling is carried out on the regional terrain structure data to obtain a regional terrain grid structure model;
Step S142: extracting a terrain turning boundary according to the regional terrain grid structure model to obtain a terrain turning boundary data set;
step S143: performing terrain turning slope inclination calculation on the terrain turning boundary data set to obtain terrain slope inclination data; calculating a terrain turning angle according to the slope data of the terrain slope to obtain terrain turning angle data;
step S144: performing terrain boundary stability evaluation according to the terrain slope inclination data and the terrain turning angle data to obtain terrain boundary stability data;
Step S145: performing terrain boundary numerical approximation on the slope data of the terrain slope and the turning angle data of the terrain based on the Richardson extrapolation method to obtain boundary numerical approximation data;
step S146: performing terrain boundary numerical integration according to the terrain slope inclination data and the terrain turning angle data to obtain terrain boundary approximate data; performing approximation error compensation on the terrain boundary approximation data according to the boundary value approximation data to obtain terrain boundary similarity compensation data;
step S147: carrying out terrain boundary morphological coupling analysis according to the terrain boundary similarity compensation data and the terrain boundary stability data to obtain regional terrain boundary coupling data;
Step S2: acquiring a historical atlas of a land remediation area; carrying out stratum structure evolution analysis according to the historical atlas of the land remediation area to obtain stratum structure evolution data; carrying out ecological coordination effect simulation according to stratum structure evolution data to obtain ecological coordination effect simulation data; carrying out ecological damage degree evaluation on the ecological coordination effect simulation data to obtain ecological damage degree data; wherein, step S2 includes:
Step S21: acquiring a historical atlas of a land remediation area;
step S22: carrying out surface ecological evolution analysis on the historical atlas of the land remediation area to obtain surface ecological evolution data;
Step S23: carrying out stratum structure evolution analysis according to the territory renovation area history atlas and the area terrain boundary coupling data to obtain stratum structure evolution data;
Step S24: carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the stratum structure evolution data to obtain ecological coordination effect simulation data; wherein, step S24 includes:
step S241: performing ground stress change simulation according to stratum structure evolution data to obtain ground stress change simulation data;
step S242: performing stress fluctuation analysis according to the ground stress change simulation data to obtain stress fluctuation change data; performing stress fluctuation intensity assessment according to the stress fluctuation change data to obtain stress fluctuation intensity data;
Step S243: carrying out ground stress ecological influence effect evaluation based on the stress fluctuation intensity data to obtain ground stress ecological influence effect data;
Step S244: carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the ground stress ecological influence effect data to obtain ecological coordination effect simulation data;
step S25: carrying out ecological damage degree assessment on the earth surface ecological evolution data and the ecological coordination effect simulation data to obtain ecological damage degree data; wherein, step S25 includes:
Step S251: extracting the surface vegetation evolution process of the surface ecological evolution data to obtain the surface vegetation evolution data;
step S252: performing magnetic field change simulation according to the ecological coordination effect simulation data and the stratum structure evolution data to obtain magnetic field change simulation data;
step S253: carrying out geomagnetic inclination calculation on the magnetic field change simulation data to obtain regional geomagnetic inclination data;
step S254: performing magnetic field change data weighting on the magnetic field change simulation data according to the regional geomagnetic inclination angle data to obtain magnetic field change weighting data;
step S255: performing weighted nearest neighbor interpolation on the magnetic field change simulation data according to the magnetic field change weighting data to obtain magnetic field nearest neighbor interpolation data;
step S256: carrying out relevant factor correlation analysis on the surface vegetation evolution data according to the nearest neighbor interpolation data of the magnetic field to obtain magnetic field correlation influence data;
Step S257: carrying out ecological damage degree assessment according to the magnetic field association influence data and the earth surface ecological evolution data to obtain ecological damage degree data;
Step S3: calculating the ecological restoration difficulty of the ecological damage degree data to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data; performing restoration collaborative analysis according to the homeland ecological intervention restoration data to obtain ecological restoration collaborative data; wherein, step S3 includes:
Step S31: performing ecological restoration difficulty calculation on the ecological damage degree data by using an ecological restoration evaluation algorithm to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is smaller than a preset ecological restoration difficulty threshold value, performing natural restoration treatment on the land restoration area, marking the area as a natural restoration area, and feeding back to the terminal; the ecological restoration evaluation algorithm is as follows:
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In the method, in the process of the invention, Represents the ecological restoration difficulty value,/>Representing the longest time value of ecological restoration,/>Ecological damage degree coefficient representing ecological damage degree data,/>Complex coefficient representing ecology,/>Representing a time-varying repair influence coefficient,/>Representing the dynamic change coefficient of biomass,/>Weight value representing region to be repaired,/>Representing the implementation difficulty coefficient of ecological environment restoration technology,/>Representing the rate of change of the ecological environment,/>An error correction value representing an ecological restoration evaluation algorithm;
Step S32: when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data;
step S33: classifying ecological restoration types of the homeland ecological intervention restoration data to obtain ecological restoration type data;
Step S34: performing restoration synergy analysis according to the ecological restoration type data to obtain ecological restoration synergy data; wherein, step S34 includes:
Step S341: performing different repair type association degree evaluation on the ecological repair type data to obtain repair type association data;
step S342: performing standardized processing on the repair type association data to obtain repair type association standard data;
Step S343: constructing an associated directed graph according to the repair type association standard data to obtain a repair type association directed graph; performing directed graph node centrality evaluation according to the repair type associated directed graph to obtain repair type node central data;
step S344: performing repair collaborative analysis on the repair type association directed graph according to the repair type node central data to obtain ecological repair collaborative data;
Step S4: making an ecological restoration strategy based on the ecological restoration cooperative data to generate an ecological restoration coordination strategy; and carrying out ecological restoration real-time monitoring according to an ecological restoration coordination strategy to obtain ecological restoration real-time monitoring data, and uploading the ecological restoration real-time monitoring data to a terminal to execute visual display.
2. A system for visualizing data based on homeland remediation and ecological remediation, for performing the method for visualizing data based on homeland remediation and ecological remediation of claim 1, the system comprising:
The regional topography boundary analysis module is used for acquiring images of the territorial remediation area by utilizing a satellite remote sensing technology to obtain territorial remediation area images; carrying out regional topographic structure analysis according to the territorial remediation regional image to obtain regional topographic structure data; carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data; the regional terrain boundary analysis module is used for:
Step S11: acquiring images of the land renovation area by using a satellite remote sensing technology to obtain images of the land renovation area;
Step S12: performing image contrast enhancement processing on the territorial remedied area image to obtain an area high-resolution image;
step S13: carrying out regional topographic structure analysis according to the regional high-resolution image to obtain regional topographic structure data;
Step S14: carrying out terrain boundary morphological coupling analysis according to the regional terrain structure data to obtain regional terrain boundary coupling data; wherein, step S14 includes:
Step S141: gridding modeling is carried out on the regional terrain structure data to obtain a regional terrain grid structure model;
Step S142: extracting a terrain turning boundary according to the regional terrain grid structure model to obtain a terrain turning boundary data set;
step S143: performing terrain turning slope inclination calculation on the terrain turning boundary data set to obtain terrain slope inclination data; calculating a terrain turning angle according to the slope data of the terrain slope to obtain terrain turning angle data;
step S144: performing terrain boundary stability evaluation according to the terrain slope inclination data and the terrain turning angle data to obtain terrain boundary stability data;
Step S145: performing terrain boundary numerical approximation on the slope data of the terrain slope and the turning angle data of the terrain based on the Richardson extrapolation method to obtain boundary numerical approximation data;
step S146: performing terrain boundary numerical integration according to the terrain slope inclination data and the terrain turning angle data to obtain terrain boundary approximate data; performing approximation error compensation on the terrain boundary approximation data according to the boundary value approximation data to obtain terrain boundary similarity compensation data;
step S147: carrying out terrain boundary morphological coupling analysis according to the terrain boundary similarity compensation data and the terrain boundary stability data to obtain regional terrain boundary coupling data;
The ecological loss analysis module is used for acquiring a historical atlas of the land remediation area; carrying out stratum structure evolution analysis according to the historical atlas of the land remediation area to obtain stratum structure evolution data; carrying out ecological coordination effect simulation according to stratum structure evolution data to obtain ecological coordination effect simulation data; carrying out ecological damage degree evaluation on the ecological coordination effect simulation data to obtain ecological damage degree data; the ecological loss analysis module is used for:
Step S21: acquiring a historical atlas of a land remediation area;
step S22: carrying out surface ecological evolution analysis on the historical atlas of the land remediation area to obtain surface ecological evolution data;
Step S23: carrying out stratum structure evolution analysis according to the territory renovation area history atlas and the area terrain boundary coupling data to obtain stratum structure evolution data;
Step S24: carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the stratum structure evolution data to obtain ecological coordination effect simulation data; wherein, step S24 includes:
step S241: performing ground stress change simulation according to stratum structure evolution data to obtain ground stress change simulation data;
step S242: performing stress fluctuation analysis according to the ground stress change simulation data to obtain stress fluctuation change data; performing stress fluctuation intensity assessment according to the stress fluctuation change data to obtain stress fluctuation intensity data;
Step S243: carrying out ground stress ecological influence effect evaluation based on the stress fluctuation intensity data to obtain ground stress ecological influence effect data;
Step S244: carrying out ecological coordination effect simulation on the earth surface ecological evolution data according to the ground stress ecological influence effect data to obtain ecological coordination effect simulation data;
step S25: carrying out ecological damage degree assessment on the earth surface ecological evolution data and the ecological coordination effect simulation data to obtain ecological damage degree data; wherein, step S25 includes:
Step S251: extracting the surface vegetation evolution process of the surface ecological evolution data to obtain the surface vegetation evolution data;
step S252: performing magnetic field change simulation according to the ecological coordination effect simulation data and the stratum structure evolution data to obtain magnetic field change simulation data;
step S253: carrying out geomagnetic inclination calculation on the magnetic field change simulation data to obtain regional geomagnetic inclination data;
step S254: performing magnetic field change data weighting on the magnetic field change simulation data according to the regional geomagnetic inclination angle data to obtain magnetic field change weighting data;
step S255: performing weighted nearest neighbor interpolation on the magnetic field change simulation data according to the magnetic field change weighting data to obtain magnetic field nearest neighbor interpolation data;
step S256: carrying out relevant factor correlation analysis on the surface vegetation evolution data according to the nearest neighbor interpolation data of the magnetic field to obtain magnetic field correlation influence data;
Step S257: carrying out ecological damage degree assessment according to the magnetic field association influence data and the earth surface ecological evolution data to obtain ecological damage degree data;
The ecological restoration coordination analysis module is used for calculating the ecological restoration difficulty of the ecological damage degree data to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data; performing restoration collaborative analysis according to the homeland ecological intervention restoration data to obtain ecological restoration collaborative data; the ecological restoration coordination analysis module is used for:
Step S31: performing ecological restoration difficulty calculation on the ecological damage degree data by using an ecological restoration evaluation algorithm to obtain an ecological restoration difficulty value; when the ecological restoration difficulty value is smaller than a preset ecological restoration difficulty threshold value, performing natural restoration treatment on the land restoration area, marking the area as a natural restoration area, and feeding back to the terminal; the ecological restoration evaluation algorithm is as follows:
；
In the method, in the process of the invention, Represents the ecological restoration difficulty value,/>Representing the longest time value of ecological restoration,/>Ecological damage degree coefficient representing ecological damage degree data,/>Complex coefficient representing ecology,/>Representing a time-varying repair influence coefficient,/>Representing the dynamic change coefficient of biomass,/>Weight value representing region to be repaired,/>Representing the implementation difficulty coefficient of ecological environment restoration technology,/>Representing the rate of change of the ecological environment,/>An error correction value representing an ecological restoration evaluation algorithm;
Step S32: when the ecological restoration difficulty value is greater than or equal to a preset ecological restoration difficulty threshold value, marking the territorial restoration area as territorial ecological intervention restoration data;
step S33: classifying ecological restoration types of the homeland ecological intervention restoration data to obtain ecological restoration type data;
Step S34: performing restoration synergy analysis according to the ecological restoration type data to obtain ecological restoration synergy data; wherein, step S34 includes:
Step S341: performing different repair type association degree evaluation on the ecological repair type data to obtain repair type association data;
step S342: performing standardized processing on the repair type association data to obtain repair type association standard data;
Step S343: constructing an associated directed graph according to the repair type association standard data to obtain a repair type association directed graph; performing directed graph node centrality evaluation according to the repair type associated directed graph to obtain repair type node central data;
step S344: performing repair collaborative analysis on the repair type association directed graph according to the repair type node central data to obtain ecological repair collaborative data;
The ecological restoration feedback module is used for making an ecological restoration strategy based on the ecological restoration cooperative data to generate an ecological restoration coordination strategy; and carrying out ecological restoration real-time monitoring according to an ecological restoration coordination strategy to obtain ecological restoration real-time monitoring data, and uploading the ecological restoration real-time monitoring data to a terminal to execute visual display.
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