CN112798540A - Water body pollution source early warning system based on high-resolution remote sensing - Google Patents
Water body pollution source early warning system based on high-resolution remote sensing Download PDFInfo
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Abstract
The invention discloses a water body pollution source early warning system based on high-resolution remote sensing, which comprises: the system comprises a data acquisition layer, a data analysis layer and an information distribution layer. The output end of the data acquisition layer is connected with the input end of the data analysis layer, and the output end of the data analysis layer is connected with the input end of the information distribution layer. The data acquisition layer comprises a remote sensing satellite image for water quality inversion, a river section measuring system for extracting water quality index information and DEM data for extracting water flow direction. The data analysis layer is mainly used for carrying out fusion analysis processing on the data acquired by the data acquisition layer to obtain a water pollution source of the monitored target area and generate early warning information of the water pollution source. The data distribution layer is used for timely updating and distributing the results obtained by the data analysis layer, so that the water body pollution is timely treated. The invention is used for timely discovering and treating water pollution, blocks a pollution source and leads the water pollution treatment to be more rapid and effective.
Description
Technical Field
The invention relates to a water body pollution source early warning system based on high-resolution remote sensing.
Background
Water is the source of life, and human lives and lives without leaving it. However, with the rapid development of science and technology, the living standard of people is improved, and water bodies in many places are polluted to different degrees. The treatment of water pollution has become an important global issue. Therefore, the method can quickly and timely find the water pollution source and give early warning to the treatment of the water environment.
At present, water pollution is mainly found by means of field patrol, the traditional mode is high in reliability, high in labor cost and long in consumed time, large-range rapid investigation cannot be achieved, and irrecoverable consequences are often caused when a pollution source is investigated.
Disclosure of Invention
Aiming at the problems, the invention provides a water body pollution source early warning system based on a satellite remote sensing image, so as to solve the problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
a water body pollution source early warning system based on high-resolution remote sensing comprises a data acquisition layer, a data analysis layer and an information distribution layer, wherein the output end of the data acquisition layer is connected with the input end of the data analysis layer, and the output end of the data analysis layer is connected with the input end of the information distribution layer;
the data acquisition layer comprises a remote sensing satellite image for extracting a suspected water pollution area, a water section measuring system for assisting in judging the water pollution level and DEM data for early warning of water pollution of a downstream area;
the data analysis layer comprises a remote sensing image preprocessing part, a water quality inversion part, a water section water quality index extraction part and a water pollution level judgment part;
the information issuing layer comprises early warning information issuing, and early warning information output by the data analysis layer is issued in real time through the webpage end and the mobile end.
The remote sensing satellite images comprise high-resolution one-number, high-resolution two-number or high-resolution series other optical satellite remote sensing images.
The water body section measuring system acquires information by accessing a monitoring system of a hydrological monitoring site.
The DEM (digital elevation model) data comprises SRTM DEM (space shuttle radar topographic mapping digital elevation model) or ASTER DEM (advanced satellite borne heat emission and reflection radiometer global digital elevation model) data.
The remote sensing image preprocessing comprises the steps of image radiation correction, atmospheric correction, geometric correction and image mosaic.
The water quality inversion is based on the preprocessed remote sensing satellite image data, linear or nonlinear relations between spectrum information of each wave band of the remote sensing satellite image and water quality indexes are established, an inversion model is obtained, and distribution conditions of water transparency, total suspended matter concentration of the water and chlorophyll a concentration water quality indexes of the water are obtained through model inversion.
And the water pollution level judgment is to extract a result by fusing and analyzing a water quality inversion result and a water section water quality index. By setting a threshold value, the water pollution level is divided into high risk, medium risk and low risk.
The webpage end can update and display a preprocessed high-resolution satellite image base map of a monitoring target area and each water quality index distribution result obtained through remote sensing water quality inversion monitoring in real time, and highlight and display the polluted area to play an early warning effect;
the moving end checks the early warning result of the water pollution source through the moving equipment, so that the water pollution condition is conveniently and timely processed.
The invention has the beneficial effects that: by combining a satellite remote sensing data means with a river section monitoring means on the spot and realizing mutual complementation of macroscopicity and microcosmic, the monitoring efficiency is greatly improved, and quick intelligent early warning of the water pollution condition is realized.
Drawings
Fig. 1 is a structural block diagram of a water body pollution source early warning system based on high-resolution remote sensing.
In the figure: 1-a data acquisition layer; 2-a data analysis layer; 3-information distribution layer; 11-remote sensing satellite images; 12-a water body section measuring system; 13-DEM data acquisition; 21-preprocessing a remote sensing image; 22-water quality inversion; 23-extracting water quality indexes of the water body section; 24-judging the water pollution level; 25-water flow direction extraction; 26-generating early warning information of water pollution sources; 31-issuing early warning information.
Detailed Description
In order to further explain the water pollution source early warning system based on high-resolution remote sensing provided by the embodiment of the invention, the following detailed description is given with reference to the attached drawings of the specification.
As shown in fig. 1, a water pollution source early warning system based on high-resolution remote sensing provided by the embodiment of the present invention includes: the data acquisition layer comprises a data acquisition layer 1, a data analysis layer 2 and an information distribution layer 3, wherein the output end of the data acquisition layer is connected with the input end of the data analysis layer, and the output end of the data analysis end is connected with the input end of the information distribution layer.
The data acquisition layer comprises a remote sensing satellite image, a water body section measuring system and DEM data.
The remote sensing satellite image data comprises domestic high-resolution series optical satellite images or other high-resolution satellite images.
The water body section measuring system acquires information by accessing a monitoring system of a hydrological monitoring site.
The DEM data may utilize SRTM DEM or ASTER DEM data.
The data analysis layer comprises a remote sensing image preprocessing part, a water quality inversion part, a water body section water quality index extraction part and a water body pollution level judgment part. The water quality inversion is based on the result of remote sensing image preprocessing.
The remote sensing image preprocessing comprises the steps of image radiation correction, atmospheric correction, geometric correction and image mosaic.
The water quality inversion is based on the preprocessed remote sensing satellite image data, linear or nonlinear relations between spectrum information of each wave band of the remote sensing satellite image and water quality indexes are established, an inversion model is obtained, and distribution conditions of water quality indexes such as water transparency, total suspended matter concentration of the water body, chlorophyll a concentration of the water body and the like are obtained through model inversion.
And the water pollution level judgment is to extract a result by fusing and analyzing a water quality inversion result and a water section water quality index. By setting a reasonable threshold, the water pollution level is divided into high risk, medium risk and low risk.
The current direction extraction is based on the collected DEM data.
The water pollution early warning information generation is obtained by comprehensively analyzing the water pollution level judgment and the water flow direction extraction result, and the water pollution early warning information generation is an output end of the data analysis layer and is connected with an input end of the information distribution layer.
The information issuing layer comprises early warning information issuing, and early warning information output by the data analysis layer is issued in real time through the webpage end and the mobile end.
The webpage end can update and display a preprocessed high-resolution satellite image base map of a monitoring target area and each water quality index distribution result obtained through remote sensing water quality inversion monitoring in real time, and highlight and display the polluted area to achieve an early warning effect.
The mobile terminal can check the early warning result of the water pollution source through mobile equipment such as a mobile phone, and is convenient for timely processing the water pollution condition.
The invention provides the method for early warning the water body pollution source based on high-resolution remote sensing, which can find and publish the position and range of the water body pollution source and other information in a large range and quickly, and early warn the downstream area where the water body pollution occurs, thereby avoiding the influence on the production and life of people caused by the water body pollution to a great extent.
The above-described embodiments are not intended to limit the scope of the present invention, and any modifications, additions, equivalents, and the like that may be made by those skilled in the art without departing from the spirit and scope of the present invention are intended to be included therein.
Claims (8)
1. A water body pollution source early warning system based on high-resolution remote sensing is characterized by comprising a data acquisition layer, a data analysis layer and an information distribution layer, wherein the output end of the data acquisition layer is connected with the input end of the data analysis layer, and the output end of the data analysis layer is connected with the input end of the information distribution layer;
the data acquisition layer comprises a remote sensing satellite image for extracting a suspected water pollution area, a water section measuring system for assisting in judging the water pollution level and DEM data for early warning of water pollution of a downstream area;
the data analysis layer comprises a remote sensing image preprocessing part, a water quality inversion part, a water section water quality index extraction part and a water pollution level judgment part;
the information issuing layer comprises early warning information issuing, and early warning information output by the data analysis layer is issued in real time through the webpage end and the mobile end.
2. The system of claim 1, wherein the remote sensing satellite images comprise high-resolution one-number, high-resolution two-number or high-resolution series of other optical satellite remote sensing images.
3. The water body pollution source early warning system based on high-resolution remote sensing according to claim 1, wherein the water body section measuring system obtains information by accessing a monitoring system of a hydrological monitoring site.
4. The system of claim 1, wherein the DEM (digital elevation model) data comprises SRTM DEM (space shuttle radar terrain mapping digital elevation model) or ASTER DEM (advanced satellite-borne thermal emission and reflection radiometer global digital elevation model) data.
5. The water body pollution source early warning system based on high-resolution remote sensing according to claim 1, wherein the remote sensing image preprocessing comprises the steps of image radiation correction, atmospheric correction, geometric correction and image mosaic.
6. The water body pollution source early warning system based on high-resolution remote sensing according to claim 1, wherein the water quality inversion is based on preprocessed remote sensing satellite image data, linear or nonlinear relations between spectrum information of each wave band of the remote sensing satellite image and water quality indexes are established, an inversion model is obtained, and distribution conditions of water transparency, total suspended matter concentration of the water body and chlorophyll a concentration water quality indexes of the water body are obtained through model inversion.
7. The water body pollution source early warning system based on high-resolution remote sensing according to claim 1, wherein the water body pollution level judgment is performed by fusion analysis of a water quality inversion result and a water quality index extraction result of a water body section; by setting a threshold value, the water pollution level is divided into high risk, medium risk and low risk.
8. The water body pollution source early warning system based on high-resolution remote sensing according to claim 1, wherein the webpage end can update and display a high-resolution satellite image base map of a monitored target area after pretreatment and various water quality index distribution results obtained through remote sensing water quality inversion monitoring in real time, and highlight the polluted area to play an early warning effect;
the moving end checks the early warning result of the water pollution source through the moving equipment, so that the water pollution condition is conveniently and timely processed.
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Cited By (6)
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| CN113177183A (en) * | 2021-06-29 | 2021-07-27 | 广东海洋大学 | Seawater pollution monitoring and early warning method and system based on ocean remote sensing image |
| CN113324923A (en) * | 2021-06-07 | 2021-08-31 | 郑州大学 | Remote sensing water quality inversion method combining time-space fusion and deep learning |
| CN113624778A (en) * | 2021-09-18 | 2021-11-09 | 重庆星视空间科技有限公司 | Water pollution tracing system and method based on remote sensing image inversion |
| CN113820311A (en) * | 2021-09-18 | 2021-12-21 | 重庆星视空间科技有限公司 | Water quality heavy metal monitoring method and device based on remote sensing combined inversion formula |
| CN114460256A (en) * | 2022-02-18 | 2022-05-10 | 深圳天澄科工水系统工程有限公司 | Water pollution diagnosis method based on satellite image analysis |
| 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 |
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| CN114460256A (en) * | 2022-02-18 | 2022-05-10 | 深圳天澄科工水系统工程有限公司 | Water pollution diagnosis method based on satellite image analysis |
| CN114460256B (en) * | 2022-02-18 | 2024-08-27 | 深圳天澄科工水系统工程有限公司 | Water pollution diagnosis method based on satellite image analysis |
| 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 |
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Application publication date: 20210514 |