Multi-dimensional parameter coupled water pollution traceability method, device, equipment and storage medium

CN122286338APending Publication Date: 2026-06-26THREE GORGES ENVIRONMENTAL TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
THREE GORGES ENVIRONMENTAL TECH CO LTD
Filing Date
2026-05-27
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing water pollution source tracing methods are unable to pinpoint specific pollution sources; they can only obtain an overall picture of the pollution in the water body and cannot delve into the specific information of the pollution sources.

Method used

By using a multi-dimensional parameter coupling method, the water quality information, characteristic pollutant content information, and three-dimensional fluorescence data of the water body to be traced are used to calculate the first similarity, the second similarity, and the third similarity, respectively. Combined with the Pearson correlation coefficient and relative entropy, a comprehensive similarity assessment is carried out to pinpoint the specific pollution source.

Benefits of technology

It enables precise identification of pollution sources, improves the accuracy and reliability of water pollution source tracing, and provides technical support for precise treatment and efficient management of water pollution.

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Abstract

This invention relates to the field of water pollution source tracing technology, and discloses a multi-dimensional parameter coupling method, device, equipment, and storage medium for water pollution source tracing. The method provided by this invention obtains a first similarity using water quality information corresponding to each pollution source water body in the water body to be traced; a second similarity using characteristic pollutant content information corresponding to each pollution source water body in the water body to be traced; and a third similarity using three-dimensional fluorescence data corresponding to each pollution source water body in the water body to be traced. Finally, a comprehensive similarity assessment method is used to obtain the comprehensive similarity between the water body to be traced and each pollution source water body. This overcomes the shortcomings of related technologies that can only macroscopically judge the degree of pollution and cannot pinpoint specific pollution sources. Furthermore, by utilizing complementary optimization through multi-dimensional parameter coupling, it significantly improves the accuracy and reliability of water pollution source tracing, providing strong technical support for precise treatment and efficient management of water pollution.
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