CN117974404B - Land-land cooperative land-domain pollution source analysis method and system - Google Patents
Land-land cooperative land-domain pollution source analysis method and system Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 44
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 148
- 238000012544 monitoring process Methods 0.000 claims abstract description 77
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 39
- 231100000719 pollutant Toxicity 0.000 claims abstract description 39
- 238000010586 diagram Methods 0.000 claims abstract description 38
- 238000011835 investigation Methods 0.000 claims abstract description 24
- 239000000126 substance Substances 0.000 claims description 46
- 239000010865 sewage Substances 0.000 claims description 44
- 238000003911 water pollution Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 12
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 3
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 230000036760 body temperature Effects 0.000 claims description 3
- 229910001385 heavy metal Inorganic materials 0.000 claims description 3
- 229910052757 nitrogen Inorganic materials 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 230000000737 periodic effect Effects 0.000 claims description 3
- 229910052698 phosphorus Inorganic materials 0.000 claims description 3
- 239000011574 phosphorus Substances 0.000 claims description 3
- 238000012847 principal component analysis method Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 10
- 239000011159 matrix material Substances 0.000 description 5
- 239000002351 wastewater Substances 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000009360 aquaculture Methods 0.000 description 1
- 244000144974 aquaculture Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001627 detrimental effect Effects 0.000 description 1
- 239000010840 domestic wastewater Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 239000010842 industrial wastewater Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- Y02A20/20—Controlling water pollution; Waste water treatment
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Abstract
The invention discloses an amphibious land pollution source analysis method and system, which are applied to the technical field of pollution monitoring. The method comprises the following steps: collecting water quality monitoring data of a target water area; calculating water area pollution indexes of different monitoring points based on water quality monitoring data; performing grid pollution source investigation on land areas to obtain land area pollution indexes; combining land pollution indexes, water quality monitoring data and pollution source investigation results to obtain a pollutant thermodynamic diagram; land area pollution source analysis is performed based on a pollutant thermodynamic diagram. The method and the device respectively analyze the pollution conditions of the water area and the land area, analyze the pollution conditions of the land area pollution sources by combining the pollution conditions of the water area and the land area, consider the pollution capability, the types of pollutants and the affected water area areas caused by different land area pollution sources according to the analysis results, accurately reflect the pollution source conditions of the land area in the analysis areas, and can provide pollution condition references for the supervision and subsequent treatment of the land area pollution sources.
Description
Technical Field
The invention relates to the technical field of pollution monitoring, in particular to an amphibious land area pollution source analysis method and system.
Background
Land pollution sources refer to sites, facilities, etc. where pollutant emissions from land into water are detrimental or likely to cause environmental pollution in water. The wastewater discharged by the land pollution sources comprises domestic wastewater, industrial wastewater, aquaculture wastewater, agricultural wastewater and the like, land pollution is the most important pollution source for water area pollution, and the supervision and analysis of the land pollution sources can be performed on the basis of the current situation of the land pollution sources so as to improve the water quality of related water areas, thereby having important significance for protecting the environmental ecology of the whole water area. However, in the existing land pollution source analysis method, the pollution sources, namely towns, rural areas and industrial and agricultural areas, are mostly collected and analyzed, compared with the water quality data of a water area, the water quality data can be directly detected through the modes of collecting a water sample, setting monitoring points, collecting remote sensing images and the like, because the pollution sources of the land are in various emission modes, the collection process is more complicated and difficult, and the pollution data of the land can only reflect the pollution severity of the corresponding pollution sources, so that the influence of the pollution data on a specific water area cannot be reflected. Therefore, how to provide an amphibious land pollution source analysis method and system is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the invention provides an amphibious land pollution source analysis method and system, which combines land pollution conditions with water pollution conditions to generate a pollutant thermodynamic diagram, and performs the tracing of the polluted water area based on different pollutant indexes so as to analyze the land pollution source, thereby providing reference for subsequent supervision and treatment.
In order to achieve the above object, the present invention provides the following technical solutions:
An amphibious land area pollution source analysis method comprises the following steps:
s1, acquiring water quality monitoring data of a target water area by adopting a scheme of combining manual measurement, an automatic monitoring station and a remote sensing image;
s2, calculating water pollution indexes of different monitoring points in the target water area based on water quality monitoring data of the target water area;
S3, performing grid pollution source investigation on land areas to obtain land area pollution indexes;
S4, combining land pollution indexes, water quality monitoring data and pollution source investigation results to obtain a pollutant thermodynamic diagram;
s5, land pollution source analysis is carried out based on a pollutant thermodynamic diagram.
Optionally, S1 is specifically: the water quality monitoring points are arranged, the physical and chemical property parameters of the water body of the target water area are monitored in real time through the automatic monitoring points, the biological parameters of the water body of the target water area are monitored by adopting a principal component analysis method based on remote sensing image data, and the chemical substance parameters of the water body of the target water area are monitored through periodic manual measurement.
Optionally, the physical and chemical parameters of the water body comprise water body temperature, pH value, dissolved oxygen, turbidity, conductivity, salinity and hardness, the biological parameters of the water body comprise plankton indexes, benthonic indexes and aquatic plant indexes, and the chemical parameters of the water body comprise total phosphorus, total nitrogen, ammonia nitrogen, permanganate and heavy metal indexes.
Optionally, S2 is specifically: comparing each item of water quality monitoring data of the target water area with a corresponding required value to obtain a pollution degree score of each item of water quality monitoring data, determining a physical and chemical property parameter of the water body, a biological parameter of the water body and a type weight of a chemical substance parameter of the water body based on a preset value, respectively calculating project weights of each item of water quality monitoring data in three types of water quality monitoring data through a hierarchical analysis method, calculating the pollution degree score of each type based on the pollution degree score and the project weights of each item of water quality monitoring data, and calculating the pollution index of the water area at each monitoring point based on the pollution degree score of each type and the type weights.
Optionally, S3 is specifically: the method comprises the steps of determining an investigation region by combining distribution conditions of towns, villages, agriculture and industrial enterprises in land areas, dividing the investigation region into a plurality of grids, carrying out pollution source investigation on each grid, comparing each item of sewage chemical substance parameter, each item of sewage flow data with corresponding required values to obtain pollution degree scores of each item of sewage chemical substance parameter and each item of sewage flow data, determining type weights of the sewage flow data and the sewage chemical substance parameters based on preset values, calculating weights of each item of indexes in the sewage chemical substance parameters by a hierarchical analysis method, calculating the pollution degree scores of sewage based on the sewage chemical substance parameters and the weights of each item of indexes, and calculating land area pollution indexes based on the pollution degree scores of the sewage chemical substance parameters, the pollution degree scores of the corresponding type weights of the sewage chemical substance parameters, the pollution degree scores of the sewage flow data and the corresponding type weights of the sewage chemical substance parameters.
Optionally, in S4, the river basin map is combined with land pollution indexes or water pollution indexes of different areas to obtain a pollutant thermodynamic diagram, and the water quality monitoring data of the river basin map and the pollution source investigation results of different areas are combined to obtain pollutant thermodynamic diagrams of different types of pollutants.
Optionally, S5 is specifically: and on the basis of the pollutant thermodynamic diagram, combining the pollution sources of the land area with water quality monitoring data of the water area to judge the water area affected by different pollution sources, and monitoring, early warning and treating the pollution sources of the land area on the basis of the change trend of the pollution data in the pollutant thermodynamic diagram.
An amphibious land pollution source analysis system, which is applied to the land pollution source analysis method of any one of the above, comprises a water quality monitoring module, a pollution source monitoring module, a data processing module, a thermodynamic diagram generating module and a pollution source analysis module; the water quality monitoring module is connected with the data processing module and is used for collecting water quality monitoring data of a target water area; the pollution source monitoring module is connected with the data processing module and used for checking the pollution source of land areas; the data processing module is connected with the thermodynamic diagram generating module and is used for calculating land pollution indexes and water pollution indexes; the thermodynamic diagram generating module is connected with the pollution source analyzing module and is used for generating a pollutant thermodynamic diagram; and the pollution source analysis module is used for carrying out land area pollution source analysis based on the pollutant thermodynamic diagram.
Compared with the prior art, the invention provides the land pollution source analysis method and system for land and water cooperation, which have the following beneficial effects: according to the method, the pollution conditions of the water area and the land area are respectively analyzed, the pollution conditions of the land area pollution sources are analyzed by combining the water area pollution conditions and the land area pollution conditions, the analysis results consider the pollution capability caused by different land area pollution sources, the types of pollutants brought and the affected water area areas, the land area pollution source conditions in the analysis areas are accurately reflected, the land area pollution sources are not monitored in real time through the cooperation of the water area areas and the land area pollution sources, the pollutant emission conditions of the land area pollution sources can be primarily judged through the water area pollution conditions, and pollution condition references can be provided for the supervision and subsequent treatment of the land area pollution sources; the invention adopts gridding investigation to investigate the pollution condition of land pollution sources and collect data, the investigation coverage is wide and the investigation result is accurate; the method generates the pollutant thermodynamic diagram, visually displays the land pollution source pollution capacity and the water pollution condition in the current area, can directly display the pollutant change condition of the current area along with the change of data, and provides a visual technical support for pollution early warning prediction and supervision management.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a land area pollution source analysis method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses an amphibious land area pollution source analysis method, which is shown in figure 1 and comprises the following steps:
s1, acquiring water quality monitoring data of a target water area by adopting a scheme of combining manual measurement, an automatic monitoring station and a remote sensing image;
s2, calculating water pollution indexes of different monitoring points in the target water area based on water quality monitoring data of the target water area;
S3, performing grid pollution source investigation on land areas to obtain land area pollution indexes;
S4, combining land pollution indexes, water quality monitoring data and pollution source investigation results to obtain a pollutant thermodynamic diagram;
s5, land pollution source analysis is carried out based on a pollutant thermodynamic diagram.
Further, S1 is specifically: the water quality monitoring points are arranged, the physical and chemical property parameters of the water body of the target water area are monitored in real time through the automatic monitoring points, the biological parameters of the water body of the target water area are monitored by adopting a principal component analysis method based on remote sensing image data, and the chemical substance parameters of the water body of the target water area are monitored through periodic manual measurement.
Further, physical and chemical parameters of the water body include water body temperature, pH value, dissolved oxygen, turbidity, conductivity, salinity and hardness, biological parameters of the water body include plankton indexes, benthonic indexes and aquatic plant indexes, and chemical parameters of the water body include total phosphorus, total nitrogen, ammonia nitrogen, permanganate and heavy metal indexes.
Further, S2 is specifically: comparing each item of water quality monitoring data of the target water area with a corresponding required value to obtain a pollution degree score of each item of water quality monitoring data, determining a physical and chemical property parameter of the water body, a biological parameter of the water body and a type weight of a chemical substance parameter of the water body based on a preset value, respectively calculating project weights of each item of water quality monitoring data in three types of water quality monitoring data through a hierarchical analysis method, calculating the pollution degree score of each type based on the pollution degree score and the project weights of each item of water quality monitoring data, and calculating the pollution index of the water area at each monitoring point based on the pollution degree score of each type and the type weights.
Furthermore, in the embodiment of the present invention, the type weights of the physical and chemical parameters of the water body, the biological parameters of the water body and the chemical parameters of the water body are preset to be 0.1, 0.1 and 0.8 respectively, and the weight assignment is performed on the three types respectively by using a hierarchical analysis method, specifically: respectively giving an important scale to each item of water quality detection data, calculating to obtain a judgment matrix, then carrying out consistency test on the judgment matrix, normalizing the judgment matrix to obtain a weight matrix if consistency accords with a standard, respectively taking elements in the weight matrix as weight values of each item of water quality detection data, and then calculating a water area pollution index S:
Wherein Q is a type pollution degree fraction, Pollution degree fractions of different water quality monitoring data,/>, respectivelyRespectively corresponding weights,/>The pollution degree fractions of the physical and chemical properties parameters, the biological parameters and the chemical substances parameters of the water body are respectively/>Respectively corresponding weights.
In the embodiment of the invention, the water quality monitoring data and the corresponding required value are general values of healthy water quality, and the water quality monitoring data are obtained through water quality standards, and if the water quality monitoring data meet the requirements, the pollution degree fraction of the water quality monitoring data is lower.
Further, S3 is specifically: the method comprises the steps of determining an investigation region by combining distribution conditions of towns, villages, agriculture and industrial enterprises in land areas, dividing the investigation region into a plurality of grids, carrying out pollution source investigation on each grid, comparing each item of sewage chemical substance parameter, each item of sewage flow data with corresponding required values to obtain pollution degree scores of each item of sewage chemical substance parameter and each item of sewage flow data, determining type weights of the sewage flow data and the sewage chemical substance parameters based on preset values, calculating weights of each item of indexes in the sewage chemical substance parameters by a hierarchical analysis method, calculating the pollution degree scores of sewage based on the sewage chemical substance parameters and the weights of each item of indexes, and calculating land area pollution indexes based on the pollution degree scores of the sewage chemical substance parameters, the pollution degree scores of the corresponding type weights of the sewage chemical substance parameters, the pollution degree scores of the sewage flow data and the corresponding type weights of the sewage chemical substance parameters.
Furthermore, in the embodiment of the invention, the weights of the preset sewage discharge flow data and the sewage chemical substance parameters are respectively 0.3 and 0.7, and the land pollution index is calculated in the same technical way as the water pollution index.
Further, in the step S4, the river basin map is combined with land pollution indexes or water pollution indexes of different areas to obtain a pollutant thermodynamic diagram, and the water quality monitoring data of the river basin map and the pollution source investigation results of different areas are combined to obtain pollutant thermodynamic diagrams of different pollutants.
Further, S5 is specifically: and on the basis of the pollutant thermodynamic diagram, combining the pollution sources of the land area with water quality monitoring data of the water area to judge the water area affected by different pollution sources, and monitoring, early warning and treating the pollution sources of the land area on the basis of the change trend of the pollution data in the pollutant thermodynamic diagram.
Further, in the embodiment of the invention, the main affected water area is determined according to the types of the land pollution sources and various sewage chemical parameters in the discharged sewage and branches of the land pollution sources, the land pollution sources are associated with the affected water area, when the water pollution index in the pollutant thermodynamic diagram of the individual water area is increased, the increase of the sewage discharge amount of one or more land pollution sources associated with the area is indicated, the monitoring is needed, and the preliminary monitoring of the pollutant discharge condition of the land pollution sources can be performed under the condition that the relevant data of the land pollution sources are not updated in real time through the amphibious collaborative analysis.
Corresponding to the method shown in fig. 1, the embodiment of the invention also discloses an amphibious land area pollution source analysis system, which is applied to any one of the above land area pollution source analysis methods and comprises a water quality monitoring module, a pollution source monitoring module, a data processing module, a thermodynamic diagram generating module and a pollution source analysis module; the water quality monitoring module is connected with the data processing module and is used for collecting water quality monitoring data of a target water area; the pollution source monitoring module is connected with the data processing module and used for checking the pollution source of land areas; the data processing module is connected with the thermodynamic diagram generating module and is used for calculating land pollution indexes and water pollution indexes; the thermodynamic diagram generating module is connected with the pollution source analyzing module and is used for generating a pollutant thermodynamic diagram; and the pollution source analysis module is used for carrying out land area pollution source analysis based on the pollutant thermodynamic diagram.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present 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. An amphibious land area pollution source analysis method is characterized by comprising the following steps:
s1, acquiring water quality monitoring data of a target water area by adopting a scheme of combining manual measurement, an automatic monitoring station and a remote sensing image;
S2, calculating water pollution indexes of different monitoring points in the target water area based on water quality monitoring data of the target water area;
S3, performing grid pollution source investigation on land areas to obtain land area pollution indexes;
S4, combining land pollution indexes, water quality monitoring data and pollution source investigation results to obtain a pollutant thermodynamic diagram;
S5, land pollution source analysis is carried out based on a pollutant thermodynamic diagram;
S1 specifically comprises the following steps: the water quality monitoring points are arranged, the physical and chemical property parameters of the water body of the target water area are monitored in real time through the automatic monitoring points, the biological parameters of the water body of the target water area are monitored by adopting a principal component analysis method based on remote sensing image data, and the chemical substance parameters of the water body of the target water area are monitored through periodic manual measurement;
The physical and chemical parameters of the water body comprise water body temperature, pH value, dissolved oxygen, turbidity, conductivity, salinity and hardness, the biological parameters of the water body comprise plankton indexes, benthonic indexes and aquatic plant indexes, and the chemical parameters of the water body comprise total phosphorus, total nitrogen, ammonia nitrogen, permanganate and heavy metal indexes;
S2 specifically comprises the following steps: comparing each item of water quality monitoring data of the target water area with a corresponding required value to obtain a pollution degree score of each item of water quality monitoring data, determining a physical and chemical property parameter of the water body, a biological parameter of the water body and a type weight of a chemical substance parameter of the water body based on a preset value, respectively calculating project weights of each item of water quality monitoring data in three types of water quality monitoring data by a hierarchical analysis method, calculating the pollution degree score of each type based on the pollution degree score and the project weights of each item of water quality monitoring data, and calculating the pollution index of the water area at each monitoring point based on the pollution degree score of each type and the type weights;
S3 specifically comprises the following steps: determining an investigation region by combining the distribution conditions of towns, villages, agriculture and industrial enterprises in a land area, dividing the investigation region into a plurality of grids, carrying out pollution source investigation on each grid, wherein the investigation content comprises sewage discharge flow data and sewage chemical substance parameters, comparing each sewage chemical substance parameter, the sewage discharge flow data with corresponding required values to obtain pollution degree scores of each sewage chemical substance parameter and the sewage flow data, determining type weights of the sewage flow data and the sewage chemical substance parameters based on preset values, calculating weights of each index in the sewage chemical substance parameters by a hierarchical analysis method, calculating the sewage pollution degree scores based on the sewage chemical substance parameters and the weights of each index, and calculating land area pollution indexes based on the sewage pollution degree scores and the corresponding type weights, the pollution degree scores of the sewage discharge flow data and the corresponding type weights;
S4, combining the river basin map with land pollution indexes or water pollution indexes of different areas to obtain a pollutant thermodynamic diagram, and combining the river basin map with water quality monitoring data of different areas and pollution source investigation results to obtain pollutant thermodynamic diagrams of different types of pollutants;
S5 specifically comprises the following steps: and on the basis of the pollutant thermodynamic diagram, combining the pollution sources of the land area with water quality monitoring data of the water area to judge the water area affected by different pollution sources, and monitoring, early warning and treating the pollution sources of the land area on the basis of the change trend of the pollution data in the pollutant thermodynamic diagram.
2. An amphibious land pollution source analysis system is characterized by applying the amphibious land pollution source analysis method of claim 1, and comprises a water quality monitoring module, a pollution source monitoring module, a data processing module, a thermodynamic diagram generating module and a pollution source analysis module; the water quality monitoring module is connected with the data processing module and is used for collecting water quality monitoring data of a target water area; the pollution source monitoring module is connected with the data processing module and used for checking the pollution source of land areas; the data processing module is connected with the thermodynamic diagram generating module and is used for calculating land pollution indexes and water pollution indexes; the thermodynamic diagram generating module is connected with the pollution source analyzing module and is used for generating a pollutant thermodynamic diagram; and the pollution source analysis module is used for carrying out land area pollution source analysis based on the pollutant thermodynamic diagram.
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Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017099540A1 (en) * | 2015-12-11 | 2017-06-15 | 대우조선해양 주식회사 | Integrated environmental regulation management monitoring system and method therefor |
CN106855502A (en) * | 2015-12-09 | 2017-06-16 | 深圳先进技术研究院 | A kind of Lu Yuan enters the remote-sensing monitoring method and system of extra large sewage draining exit |
CN108734401A (en) * | 2018-05-22 | 2018-11-02 | 新疆大学 | River pollution appraisal procedure based on SPARROW models |
CN113128884A (en) * | 2021-04-25 | 2021-07-16 | 南京大学 | Method and system for tracing regional water environment based on river network mathematical model |
CN114184761A (en) * | 2021-12-27 | 2022-03-15 | 厦门理工学院 | Land, sea and air integrated intelligent sewage monitoring system and method |
CN115690632A (en) * | 2022-11-09 | 2023-02-03 | 中科合肥智慧农业协同创新研究院 | Water environment monitoring method for inland river water body |
CN115829196A (en) * | 2022-10-25 | 2023-03-21 | 中国环境科学研究院 | Land-source pollutant load distribution method and device, computer equipment and medium |
CN115879595A (en) * | 2022-09-13 | 2023-03-31 | 重庆市生态环境大数据应用中心 | Construction method of urban atmospheric pollution gridding platform |
CN116148188A (en) * | 2022-12-26 | 2023-05-23 | 江苏省苏力环境科技有限责任公司 | Air-space-ground integrated lake water quality tracing method, system, equipment and storage medium |
CN116912704A (en) * | 2023-06-02 | 2023-10-20 | 生态环境部环境规划院 | Surface water phosphorus pollutant tracing method based on remote sensing and ground checking technology |
CN117405849A (en) * | 2023-12-15 | 2024-01-16 | 江苏省环境监测中心 | Automatic monitoring device for water pollutant flux and accounting method |
-
2024
- 2024-04-02 CN CN202410390641.6A patent/CN117974404B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106855502A (en) * | 2015-12-09 | 2017-06-16 | 深圳先进技术研究院 | A kind of Lu Yuan enters the remote-sensing monitoring method and system of extra large sewage draining exit |
WO2017099540A1 (en) * | 2015-12-11 | 2017-06-15 | 대우조선해양 주식회사 | Integrated environmental regulation management monitoring system and method therefor |
CN108734401A (en) * | 2018-05-22 | 2018-11-02 | 新疆大学 | River pollution appraisal procedure based on SPARROW models |
CN113128884A (en) * | 2021-04-25 | 2021-07-16 | 南京大学 | Method and system for tracing regional water environment based on river network mathematical model |
CN114184761A (en) * | 2021-12-27 | 2022-03-15 | 厦门理工学院 | Land, sea and air integrated intelligent sewage monitoring system and method |
CN115879595A (en) * | 2022-09-13 | 2023-03-31 | 重庆市生态环境大数据应用中心 | Construction method of urban atmospheric pollution gridding platform |
CN115829196A (en) * | 2022-10-25 | 2023-03-21 | 中国环境科学研究院 | Land-source pollutant load distribution method and device, computer equipment and medium |
CN115690632A (en) * | 2022-11-09 | 2023-02-03 | 中科合肥智慧农业协同创新研究院 | Water environment monitoring method for inland river water body |
CN116148188A (en) * | 2022-12-26 | 2023-05-23 | 江苏省苏力环境科技有限责任公司 | Air-space-ground integrated lake water quality tracing method, system, equipment and storage medium |
CN116912704A (en) * | 2023-06-02 | 2023-10-20 | 生态环境部环境规划院 | Surface water phosphorus pollutant tracing method based on remote sensing and ground checking technology |
CN117405849A (en) * | 2023-12-15 | 2024-01-16 | 江苏省环境监测中心 | Automatic monitoring device for water pollutant flux and accounting method |
Non-Patent Citations (1)
Title |
---|
辽宁近岸海域水质演化及对近海陆域生态水文格局的响应;严登华, 何岩, 王浩, 王建华, 宗兆伟;海洋通报;20040615(第03期);全文 * |
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