CN116128183A - Method for evaluating influence of diversion engineering on lake wetland habitat change - Google Patents
Method for evaluating influence of diversion engineering on lake wetland habitat change Download PDFInfo
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Abstract
The invention discloses a method for evaluating influence of diversion engineering on lake wetland habitat change, which comprises the following steps: (1) Collecting a water level observation data set, a high-resolution remote sensing image set and topography measurement data of a target lake; (2) According to the preference degree of different habitat types of the bird distribution, the habitat types are adapted to the habitat type division; (3) Obtaining the spatial distribution data of the habitat types under different water levels; (4) Respectively counting the areas of the proper habitat types under each water level, and obtaining a scatter diagram of the areas and the corresponding water levels, so as to construct a water level-area response model of the proper habitat types; (5) And calculating the increase or decrease of the area of each suitable habitat type under the design level relative to the reference area to evaluate the influence of the diversion engineering on the habitat change of the target lake. The method is used for evaluating the influence of diversion engineering on the variation of the lake wetland habitat, and has the advantages of clarity, operability and scalability.
Description
Technical Field
The application belongs to the technical field of ecological hydrology, and particularly relates to a method for evaluating influence of diversion engineering on lake wetland habitat change.
Background
Lake wetlands are a typical type of wetland, play an important role in ecology and environment, and particularly in the aspect of biodiversity protection, and are the rest, wintering and breeding places of a plurality of migratory water birds. The water level fluctuation is an important embodiment of the hydrologic rhythm of the lake wetland, is a key element for measuring the ecological hydrologic condition of the wetland, plays a vital role in adjusting vegetation coverage, material circulation, energy flow and the like, has obvious regulation and control effect on the formation and distribution of the lake wetland type, and influences the selection of the inhabitation and foraging habitat of the water birds.
The water diversion engineering brings social benefit and economic benefit, changes the space-time distribution and hydrologic situation of water resources, and breaks the balance of the original ecological system, especially the lake wetland. The water diversion engineering operation causes the current water level of the lake to change, which affects the exposure of the mud beach and the herbaceous swamps to a certain extent, and has adverse effect on the habitat and the food accessibility of the overwintering waiting birds, thereby changing the habitat suitability of the overwintering waiting birds. Therefore, the evaluation of the influence of the diversion engineering on the ecological environment change of the lake wetland provides a guiding basis for scientifically making a water level scheduling scheme, has important practical significance on the protection of the biological diversity of the lake wetland, and is related to the exertion of the social-economic-ecological comprehensive benefit of the diversion engineering.
The lack of an evaluation method of the influence of the diversion engineering on the variation of the lake wetland habitat currently restricts the exertion of the social-economic-ecological comprehensive benefits of the diversion engineering. Therefore, the establishment of the assessment method for the influence of the diversion project on the lake wetland habitat change is urgent for diversion project designers and operators, and has important practical significance for guaranteeing the green development of the diversion project and the ecological sustainable development of the lake wetland.
Disclosure of Invention
The purpose of the application is to provide an evaluation method for the influence of diversion engineering on the lake wetland habitat change, and the method can accurately evaluate the influence of the diversion engineering on the lake wetland habitat.
The technical scheme of the application is as follows:
a method for evaluating influence of diversion engineering on lake wetland habitat change comprises the following steps:
(1) Collecting a water level observation data set, a high-resolution remote sensing image set and topography measurement data of a target lake under different observation moments;
(2) Monitoring target lake wetland water birds and habitats in the winter period, and dividing the habitat types into suitable habitats according to the preference degrees of different habitat types of the water birds, wherein the suitable habitat types comprise suitable habitats, sub-suitable habitats and unsuitable habitats;
(3) Classifying the habitat types of the high-resolution remote sensing image set to obtain the spatial distribution data of the habitat types under each observation time; combining the water level observation data set and the topography measurement data to obtain the water level of the target lake at each observation moment, and respectively corresponding the habitat type space distribution data at the same observation moment to the water level to obtain the habitat type space distribution data corresponding to different water levels;
(4) According to the spatial distribution data of the habitat types under different water levels, respectively counting the areas of the suitable habitat types under each water level, obtaining a scatter diagram of the areas and the corresponding water levels, and respectively constructing a water level-area response model of each suitable habitat type according to the scatter diagram;
(5) According to the response model of the water level-area of each suitable habitat type, respectively obtaining the reference water level and each suitable habitat type area corresponding to the water level of the diversion project design annual control water level, respectively calculating the increase and decrease of each suitable habitat type area of the design annual relative to the reference area by taking each suitable habitat type area corresponding to the reference water level as the reference area, and evaluating the influence of the diversion project on the target lake habitat change; wherein, the current water level of the target lake in the winter of the waiting bird is adopted as the reference water level.
In some embodiments, the habitat types include herbaceous swamps, mud flat lands, paddy fields, construction lands, woodlands, shallow waters, deeper waters, and deep waters.
In some embodiments, step (2) further comprises:
2.1 monitoring target lake wetland aquatic birds and habitats thereof in the winter period of waiting birds to obtain aquatic bird investigation data, wherein the aquatic bird investigation data comprise the number of aquatic birds, the number of aquatic bird species, the distribution positions of the aquatic birds and the types of the target lake habitats;
2.2, respectively obtaining the spatial distribution data of the number of the water birds and the number of the water bird species in the target lake according to the water bird investigation data;
and 2.3, respectively analyzing spatial distribution data of the number of the water birds and the number of the water bird species by adopting a hot spot analysis method, obtaining aggregation degrees of the water birds and the water bird species in different habitat types, and obtaining preference of the water birds to the habitat types by referring to the aggregation degrees, so that the habitat types are divided into suitable habitats, sub-suitable habitats and unsuitable habitats.
In some embodiments, GIS software is utilized in substep 2.2 to obtain spatial distribution data of the number of water birds and the number of water bird species.
In some embodiments, substep 2.3 comprises:
analyzing spatial distribution data of the number of the water birds and the number of the water bird species by adopting a hot spot analysis method to respectively obtain Gi of the number of the water birds and the number of the water bird species * An exponential profile;
gi for the number of aquatic birds and the number of aquatic bird species * The index distribution diagram respectively takes a hot spot area, a cold spot area and other areas as areas with high aggregation degree, low aggregation degree and moderate aggregation degree;
classifying habitat types comprising regions of high aggregation of water birds or water bird species into suitable habitats; among the habitat types outside the suitable habitat, the habitat types comprising regions of moderate aggregation of water birds or water bird species are classified as sub-suitable habitats; the remaining habitat types are classified as unsuitable habitats.
In some embodiments, in step (3), the high-resolution remote sensing image sets are respectively classified into habitat types, and the decision tree classification method is adopted to classify the habitat types.
In some embodiments, the constructing a response model of water level-area of each suitable habitat type in step (4) includes:
processing a scatter diagram of the area and the corresponding water level by using a regression analysis method to obtain a regression model of the water level-area of each suitable habitat type; and screening out regression models with optimal fitting effect through the fitting goodness, and respectively constructing response models of water level-area of each suitable habitat type.
In some embodiments, the current water level of the target lake in the winter period of the waiting bird in the step (5) is the average water level of the lake wetland in the winter period of the waiting bird for many years.
In some embodiments, the diversion project design level year control water level in step (5) comprises a near-term design level year and a far-term design level year control water level.
In some embodiments, step (5) comprises:
acquiring a control water level of a water diversion engineering design level year, and respectively calculating the area of each suitable habitat type under the control water level according to a response model of the water level-area of each suitable habitat type;
acquiring the current water level of the target lake, and respectively calculating the area of each suitable habitat type under the current water level according to the response model of the water level-area of each suitable habitat type;
taking the areas of the suitable habitat types under the current water level as reference areas, and respectively calculating the increasing and decreasing values of the areas of the suitable habitat types under the control water level relative to the reference areas;
and according to the increment and decrement values of the relative reference area, evaluating the influence of the diversion engineering on the target lake habitat change.
The application has the following advantages and beneficial effects:
considering that the current lack of a lake wetland habitat variation influence assessment method facing the diversion project, the ecological and environmental benefits of the diversion project are difficult to assess effectively. Aiming at the problem, the application provides a quantifiable evaluation method for evaluating the influence of diversion engineering on the ecological environment change of the lake wetland, has definiteness, operability and scalability, and can provide effective support for scientific water level scheduling of the diversion engineering and ecological sustainable development of the lake wetland.
Drawings
FIG. 1 is a flow chart of an embodiment of the present application;
FIG. 2 is a graph showing the aggregation level distribution of the number of water birds in winter waiting period in the examples of the present application;
FIG. 3 is a graph showing the aggregation level distribution of species of aquatic birds in winter waiting period in the examples of the present application;
fig. 4 is spatial distribution data of habitat types at different water levels in the embodiment of the present application, where fig. 4 (a) to 4 (d) are spatial distribution data of habitat types at water levels of 6.97m, 7.20m, 7.30m, and 7.40m, respectively;
FIG. 5 is a graph showing the spatial distribution data of the habitat types at different water levels according to the embodiment of the present application, wherein FIGS. 5 (a) -5 (d) are the spatial distribution data of the habitat types at 7.54m, 8.10m, 8.30m, 8.60m, respectively;
FIG. 6 is a graph of water level versus area for a suitable habitat constructed in an embodiment of the present application;
FIG. 7 is a water level-area relationship function of a sub-optimum habitat constructed in an embodiment of the present application;
FIG. 8 is a graph showing the relationship between water level and area for an unfavorable habitat constructed in the examples of the present application.
Detailed Description
For a better understanding of the present invention, specific embodiments of the technical solution of the present application will be described in detail below, but it should be apparent that the following description is only specific embodiments and does not limit the scope of protection of the present application.
The following describes in detail the implementation of the method of the present application with reference to the accompanying drawings. In this embodiment, the influence of the diversion project a on the habitat change of the storage lake B (i.e. the target lake) is evaluated, and the specific implementation process is shown in fig. 1, and includes:
(1) And collecting a water level observation data set, a high-resolution remote sensing image set and topography measurement data of the target lake under different observation moments.
In the embodiment of the present application, the collection observation time t= { T 1 ,T 2 ,…,T n The } down-regulation lake B represents a water level observation data set wl= { WL (T) 1 ),WL(T 2 ),…,WL(T n ) High-resolution remote sensing Image set image= { Image (T) covering regulation lake B 1 ),Image(T 2 ),…,Image(T n ) And the topography measurement data DEM of the lake B. The topography measurement data DEM can be used to map the underwater topography data using a depth finder on water. WL (T) 1 ),WL(T 2 ),…,WL(T n ) Respectively represent the observation time T 1 ,T 2 ,…,T n Water level observation data under, image (T 1 ),Image(T 2 ),…,Image(T n ) Respectively represent the observation time T 1 ,T 2 ,…,T n And the lower high-resolution remote sensing image.
(2) The winter period of the waiting bird monitors the target lake wetland aquatic bird and the habitat, and the habitat types are subjected to adaptation habitat type division according to the preference degree of the aquatic bird in different habitat types, including suitable habitat, sub-suitable habitat and unsuitable habitat.
The habitat types in the application include herbaceous swamps, mud flat lands, paddy fields, construction lands, woodlands, shallow water areas, deeper water areas and deep water areas, wherein the shallow water areas refer to water areas with water depths of <50cm, the deeper water areas refer to water areas with water depths in the range of 50 cm-80 cm, and the deep water areas refer to water areas with water depths of >0.8 m. The adaptive habitat types are further classified according to the distribution preference degree of the water birds, and are respectively classified into an appropriate habitat, a suboptimal habitat and an inappropriate habitat according to the preference degree from high to low.
The specific implementation process of this step in this embodiment of the present application is as follows:
2.1 monitoring target lake wetland aquatic birds and habitats thereof in winter to obtain aquatic bird investigation data, including aquatic bird number, aquatic bird species number, aquatic bird distribution positions and target lake habitat types. Specifically, the water bird survey is conducted on the regulation lake B once a month, and the supplementary survey is conducted mainly through the spot survey and the sample line. In the investigation process, targets are determined by means of monocular and binoculars, and the birds are photographed by using a camera, and the number of the birds, the number of the birds and the habitat types and the spatial positions of the birds are recorded. The winter period of the bird waiting selected in the embodiment of the application is 2021, 10 months and 2022, 3 months.
2.2, according to the water bird investigation data, obtaining the spatial distribution data of the number of water birds and the number of water bird species in the target lake; specifically, a GIS software tool can be used for acquiring the spatial distribution data of the number of the water birds and the number of the water bird species. In the embodiment of the application, a buffer area with a certain distance of Disatance is made for the sampling point, and the bird investigation data monitored by the sampling point are uniformly distributed in the buffer area; in view of the accuracy of using the telescope, the distance is set to 1 km.
2.3 based on spatial distribution data of the number of aquatic birds and the number of aquatic bird species, a hotspot analysis (i.e., localized Getis-OrdGi * Exponential) analyzing the aggregation degree of the aquatic bird and the aquatic bird species in different habitat types, and obtaining the preference of the aquatic bird for each habitat type by referring to the aggregation degree, thereby dividing each habitat type into a suitable habitat, a sub-suitable habitat and a non-suitable habitat.
Specifically, the hot spot analysis function of the GIS software tool can be adopted to respectively obtain the Gi of the number of the water birds and the number of the water bird species * Exponential profile, gi * The hot spot region in the exponential distribution diagram is used as a high aggregation level region, the cold spot region is used as a low aggregation level region, and the other regions are used as moderate aggregation level regions, so that aggregation level distribution diagrams of water birds and water bird species are respectively obtained, and are shown in fig. 2 and 3. Different colors are used in fig. 2 and 3 to distinguish different distance level regions. From the aggregation level distribution diagram of the aquatic bird and the aquatic bird species, the aggregation levels of the aquatic bird and the aquatic bird species in each habitat type can be obtained, the aggregation levels can reflect the preference levels of the aquatic bird for each habitat type, the higher the preference levels are, the more suitable the habitat is, and therefore the suitable habitat classification is carried out on the habitat types by taking the aggregation levels as references.
An optional method for suitable habitat division in the embodiment of the application is as follows: classifying habitat types comprising regions of high aggregation of water birds or water bird species into suitable habitats; among the habitat types outside the suitable habitat, the habitat types comprising regions of moderate aggregation of water birds or water bird species are classified as sub-suitable habitats; the remaining habitat types are classified as unsuitable habitats.
The division result of the habitat types in the embodiment of the application is: suitable habitats include herbaceous swamps, muddy lands and shallow waters, sub-suitable habitats include paddy fields and deeper waters, and unsuitable habitats include construction lands, woodlands and deep waters.
(3) Respectively classifying habitat types of the high-resolution remote sensing Image set Image by adopting a decision tree classification method to obtain each observation time T i Spatial distribution data of the lower habitat types, including herbaceous swamps, mud flat lands, paddy fields, construction lands, woodlands, shallow water, deeper water and deep water; combining the water level observation data set WL and the topography measurement data DEM to obtain each observation time T i Water level WL of lower target lake i Will observe the same time T i Habitat type spatial distribution data and water level WL of lower target lake i Respectively correspond to, i.e. at the same observation time T i The lower habitat type spatial distribution data is used as the lower water level WL at the observation time i The habitat type spatial distribution data of the water level is obtained; wherein i is 1, 2.
Fig. 4 to 5 show the spatial distribution data of the habitat types of the regulation lake B under different water levels in the embodiment of the present application, and the fig. shows the spatial distribution data of the habitat types of the regulation lake B under 8 different water levels, such as 6.97m, 7.20m, 7.30m, 7.40m, 7.54m, 8.10m, 8.30m, 8.60m, and the like.
(4) According to the spatial distribution data of the habitat types under different water levels, the areas of the suitable habitat types under the water levels are respectively counted, a scatter diagram of the areas and the corresponding water levels is obtained, and a response model of the water levels-areas of the suitable habitat types is respectively constructed according to the scatter diagram. The types of suitable habitats in the embodiments of the present application include suitable habitats, sub-suitable habitats, and unsuitable habitats.
Specifically, according to the habitat type space distribution data under different water levels obtained in the step (3), respectively obtaining areas suitable for habitat, sub-suitable for habitat and unsuitable for habitat and scatter diagrams of corresponding water levels; respectively obtaining the water level-area relation of the water levels of the suitable habitat, the sub-suitable habitat and the unsuitable habitat by using a regression analysis method; and (3) screening a regression model with the best fitting effect through the fitting goodness, and respectively constructing water level-area relation functions of the suitable habitat, the suboptimal habitat and the unsuitable habitat. In addition, saliency test is also carried out on the constructed response models of water level-area of each suitable habitat type respectively so as to ensure that the constructed regression model has statistical significance. Fig. 6 to 8 are water level-area relationship functions of the suitable habitat, the sub-suitable habitat and the unsuitable habitat of the regulation lake B constructed in the embodiment of the present application, respectively.
(5) According to the response model of the water level-area of each suitable habitat type, respectively obtaining the reference water level and each suitable habitat type area corresponding to the water level of the water diversion engineering design annual control water level, taking each suitable habitat type area corresponding to the reference water level as the reference area, calculating the increase and decrease value of each suitable habitat type area of the design annual relative to the reference area, and evaluating the influence of the water diversion engineering on the target lake habitat change; wherein, the current water level of the target lake in the winter of the waiting bird is adopted as the reference water level.
In the embodiment of the application, according to the design data of the diversion project A, the control water level of the design level year regulation lake B can be determined, wherein the control water level comprises the recent design level year 2030 and the distant design level year 2040. Recently, in the year 2030, the control water level of the regulation lake B in the wintering period of the waiting bird is 7.5m, and the areas suitable for habitat, suboptimal habitat and unsuitable habitat under the water level of 7.5m are calculated according to the response model of the water level-area. The water level of the regulation lake B in the wintering period of the waiting bird is controlled to be 8.1m in 2040 years of long-term design, and the areas of the suitable habitat, the suboptimal habitat and the unsuitable habitat under the water level of 8.1m are calculated according to the response model of the water level to the area. The current water level of the lake B is collected in the wintering period of the waiting bird, the current water level is particularly the average water level of years from 1956 to 2015, the average water level is 6.98m, and the areas of the suitable habitat, the sub-suitable habitat and the unsuitable habitat under the water level of 6.98m are calculated according to the response model of the water level to the area.
The current water level of the regulation lake B is used as a reference area, and compared with the reference area, the water diversion project A has the advantages that in the recent design level year 2030, the suitable habitat area is reduced by 5133hm 2 Increased sub-optimum habitat 3588hm 2 An increase in unsuitable habitat of 1545hm 2 The method comprises the steps of carrying out a first treatment on the surface of the The water diversion project A is 2040 year in the long-term design level, and is suitable for reducing the habitat area by 10652hm 2 Increased sub-optimum habitat area 3542hm 2 And an increase in unfavorable habitat area of 7110hm 2 . And according to the increase and decrease of the analysis area, the influence of the diversion engineering on the change of the lake wetland habitat can be evaluated.
Note that the above is only the preferred embodiments of the present application and the technical principles applied. Those skilled in the art will appreciate that the present application is not limited to the particular embodiments described herein, but is capable of numerous obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the present application. Thus, while the present application has been described in terms of the foregoing embodiments, the present application is not limited to the foregoing embodiments, but may include many other equivalent embodiments without departing from the spirit of the present application, all of which fall within the scope of the present application.
Claims (10)
1. The method for evaluating the influence of diversion engineering on the variation of the wetland habitat of the lake is characterized by comprising the following steps of:
(1) Collecting a water level observation data set, a high-resolution remote sensing image set and topography measurement data of a target lake under different observation moments;
(2) Monitoring target lake wetland water birds and habitats in the winter period, and dividing the habitat types into suitable habitats according to the preference degrees of different habitat types of the water birds, wherein the suitable habitat types comprise suitable habitats, sub-suitable habitats and unsuitable habitats;
(3) Classifying the habitat types of the high-resolution remote sensing image set to obtain the spatial distribution data of the habitat types under each observation time; combining the water level observation data set and the topography measurement data to obtain the water level of the target lake at each observation moment, and corresponding the habitat type space distribution data at the same observation moment to the water level to obtain the habitat type space distribution data corresponding to different water levels;
(4) According to the spatial distribution data of the habitat types under different water levels, respectively counting the areas of the suitable habitat types under each water level, obtaining a scatter diagram of the areas and the corresponding water levels, and respectively constructing a water level-area response model of each suitable habitat type according to the scatter diagram;
(5) According to a response model of the water level-area of each suitable habitat type, respectively obtaining the reference water level and each suitable habitat type area corresponding to the water level of the water diversion engineering design level annual control water level, taking each suitable habitat type area corresponding to the reference water level as the reference area, calculating the increase and decrease of each suitable habitat type area of the design level annual relative to the reference area, and evaluating the influence of the water diversion engineering on the target lake habitat change; wherein, the current water level of the target lake in the winter of the waiting bird is adopted as the reference water level.
2. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland according to claim 1 is characterized in that:
the habitat types include herbaceous swamps, muddy lands, paddy fields, construction lands, woodlands, shallow waters, deeper waters and deep waters.
3. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland according to claim 1 is characterized in that:
step (2) further comprises:
(2.1) monitoring target lake wetland water birds and habitats thereof in the winter period of waiting birds to obtain water bird investigation data, wherein the water bird investigation data comprise the number of water birds, the number of water bird species, the distribution positions of the water birds and the types of the target lake habitats;
(2.2) respectively obtaining the spatial distribution data of the number of the water birds and the number of the water bird species in the target lake according to the water bird investigation data;
and (2.3) respectively analyzing the spatial distribution data of the number of the water birds and the number of the water bird species in the target lake by adopting a hot spot analysis method to obtain the aggregation degree of the water birds and the water bird species in different habitat types, and dividing the habitat types into suitable habitats, sub-suitable habitats and unsuitable habitats according to the aggregation degree from high to low.
4. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland as claimed in claim 3, which is characterized by comprising the following steps:
in the substep (2.2), spatial distribution data of the number of water birds and the number of water bird species are obtained by using GIS software.
5. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland as claimed in claim 3, which is characterized by comprising the following steps:
the substep (2.3) comprises:
analyzing spatial distribution data of the number of the water birds and the number of the water bird species by adopting a hot spot analysis method to respectively obtain Gi of the number of the water birds and the number of the water bird species * An exponential profile;
gi for the number of aquatic birds and the number of aquatic bird species * The index distribution diagram respectively takes a hot spot area, a cold spot area and other areas as areas with high aggregation degree, low aggregation degree and moderate aggregation degree;
classifying habitat types comprising regions of high aggregation of water birds or water bird species into suitable habitats; among the habitat types outside the suitable habitat, the habitat types comprising regions of moderate aggregation of water birds or water bird species are classified as sub-suitable habitats; the remaining habitat types are classified as unsuitable habitats.
6. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland according to claim 1 is characterized in that:
and (3) respectively classifying the habitat types of the high-resolution remote sensing image sets, and classifying the habitat types by adopting a decision tree classification method.
7. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland according to claim 1 is characterized in that:
in the step (4), a response model of water level-area of each suitable habitat type is constructed, which comprises the following steps:
processing a scatter diagram of the area and the corresponding water level by using a regression analysis method to obtain a regression model of the water level-area of each suitable habitat type; and screening out regression models with optimal fitting effect through the fitting goodness, and respectively constructing response models of water level-area of each suitable habitat type.
8. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland according to claim 1 is characterized in that:
and (5) adopting the years of average water level of the lake wetland in the winter of the waiting period for the target lake in the current water level of the winter of the waiting period for the target lake.
9. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland according to claim 1 is characterized in that:
the water diversion engineering design level year control water level in the step (5) comprises the control water levels of a near-term design level year and a long-term design level year.
10. The method for evaluating the influence of diversion engineering on the environmental change of the lake wetland according to claim 1 is characterized in that:
the step (5) comprises:
acquiring a control water level of a water diversion engineering design level year, and respectively calculating the area of each suitable habitat type under the control water level according to a response model of the water level-area of each suitable habitat type;
acquiring the current water level of the target lake, and respectively calculating the area of each suitable habitat type under the current water level according to the response model of the water level-area of each suitable habitat type;
taking the areas of the suitable habitat types under the current water level as reference areas, and respectively calculating the increasing and decreasing values of the areas of the suitable habitat types under the control water level relative to the reference areas;
and according to the increment and decrement values of the relative reference area, evaluating the influence of the diversion engineering on the target lake habitat change.
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| CN117309029A (en) * | 2023-11-30 | 2023-12-29 | 长江水资源保护科学研究所 | Test method for simulating influence of ship navigation on water birds under influence of water level lifting |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112784503A (en) * | 2021-01-12 | 2021-05-11 | 水利部交通运输部国家能源局南京水利科学研究院 | Gate dam dispatching launching bird habitat suitability calculation method and device |
| CN113011716A (en) * | 2021-02-25 | 2021-06-22 | 长江水资源保护科学研究所 | Method and system for evaluating influence of lake water level change on functional characters of aquatic plants |
| CN114971295A (en) * | 2022-05-26 | 2022-08-30 | 中国长江三峡集团有限公司 | Reservoir scheduling method and system for improving habitat of migratory birds in lake through river |
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| CN112784503A (en) * | 2021-01-12 | 2021-05-11 | 水利部交通运输部国家能源局南京水利科学研究院 | Gate dam dispatching launching bird habitat suitability calculation method and device |
| CN113011716A (en) * | 2021-02-25 | 2021-06-22 | 长江水资源保护科学研究所 | Method and system for evaluating influence of lake water level change on functional characters of aquatic plants |
| CN114971295A (en) * | 2022-05-26 | 2022-08-30 | 中国长江三峡集团有限公司 | Reservoir scheduling method and system for improving habitat of migratory birds in lake through river |
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| 沈汇超;张益民;崔云霞;马思萍;庞丹靛;樊宁;: "盐城湿地建设项目对越冬水鸟生境的累积生态影响评价研究", 环境科学与管理, no. 11 * |
| 王晓媛;江波;田志福;蔡金洲;林国俊;: "冬季安徽菜子湖水位变化对主要湿地类型及冬候鸟生境的影响", 湖泊科学, no. 06 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117309029A (en) * | 2023-11-30 | 2023-12-29 | 长江水资源保护科学研究所 | Test method for simulating influence of ship navigation on water birds under influence of water level lifting |
| CN117309029B (en) * | 2023-11-30 | 2024-02-13 | 长江水资源保护科学研究所 | Test method for simulating influence of ship navigation on water birds under influence of water level lifting |
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