Method, device, equipment and medium for dividing pollutant responsibility of complex industrial site

CN121905334BActive Publication Date: 2026-06-09CENT SOUTH UNIV +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CENT SOUTH UNIV
Filing Date
2026-03-18
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify the characteristic contributions of multiple pollution sources in complex industrial sites, confirm the rationality of migration paths, and quantify responsibility, resulting in insufficient accuracy and reliability in the allocation of responsibility.

Method used

By acquiring multi-source data to construct fingerprint indicators, and combining site hydrogeological structure and historical production activity information to establish migration path constraints, a preset pollution contribution calculation model is input, and the pollution contribution ratio of each potential pollution source type in different spatial regions and depth layers is output.

Benefits of technology

It has enabled the accurate identification and quantification of responsibility for pollution sources in complex industrial sites, improved the accuracy and scientific nature of responsibility delineation, and provided strong support for pollution control.

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Abstract

The application discloses a method and device for dividing the responsibility of pollutants in a complex industrial site, equipment and medium, relating to the field of environmental governance technology, comprising: obtaining multi-source data in the target plot, constructing fingerprint indicators to identify potential pollution source types, and then establishing migration path constraints combined with site hydrogeological structure and historical production activity information. Input these data and conditions into the preset pollution contribution calculation model, output the pollution contribution proportion of each potential pollution source in different spatial regions and depth layers, and then generate the pollution responsibility division result, solve the problem of multi-source pollution responsibility division in a complex industrial site, improve the accuracy and scientificity of the responsibility division, and provide strong support for pollution control and environmental remediation.
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