基于多模型协同分析的环境污染物筛选方法、系统、设备及介质
By using a multi-model collaborative analysis method to screen and evaluate environmental pollutants, this approach solves the problem of predicting the combined effects of multiple chemical exposures in existing technologies. It enables a systematic ranking and assessment of the health risks of pollutants and provides precise pollutant control strategies.
Patent Information
- Application Number
- CN202610828573.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing environmental pollutant risk assessment methods are insufficient to comprehensively and accurately predict the combined effects of multiple chemical exposures, leading to an underestimation of health risks and a lack of systematic pollutant health risk ranking strategies.
A multi-model collaborative analysis method was adopted, combining pollutant exposure data after urinary creatinine correction, health effect index data, and basic characteristic data. Risk pollutants were screened through individual and mixed exposure statistical models, and a multi-model comprehensive risk score was calculated to rank the health effect risks.
It enables comprehensive and accurate risk assessment of environmental pollutants, provides an effective pollutant priority control list, and can accurately prioritize and manage related pollutants, which has important public health significance.
Smart Images
Figure CN122414837A_ABST