一种基于信息融合的水污染数值溯源方法
By employing an information fusion method within a Bayesian framework, combining a hydrodynamic-water quality coupling model and a Bayesian inference model, the problem of heterogeneous response characteristics of multiple pollutants in water pollution source tracing was solved, achieving higher source tracing accuracy and stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- POWERCHINA WATER ENVIRONMENT GOVERANCE
- Filing Date
- 2025-07-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to effectively utilize the heterogeneous response characteristics of multiple pollutants in water pollution source tracing, resulting in insufficient accuracy and reliability in source tracing.
An information fusion method based on a Bayesian framework is adopted. By using weighted information fusion technology, combined with a one-dimensional hydrodynamic-water quality coupling model and a Bayesian inference source tracing model, the pollution source parameters are iteratively updated using monitoring data, thereby improving the accuracy and stability of source tracing.
The simplified calculation process improves the accuracy and stability of water pollution source tracing and enhances the certainty of pollution source identification.
Smart Images
Figure CN121009434B_ABST