中国资源综合利用2026，Vol.44Issue(9)：208-210,3.DOI:10.3969/j.issn.1008-9500.2026.09.062
基于多源数据融合的水污染监测与防控方法
Multi-source Data Fusion-Based Methods for Water Pollution Monitoring and Control
汪梦琪 1徐志2
作者信息
- 1. 长江水利委员会汉江流域治理保护中心,湖北 武汉 430000
- 2. 长江水利委员会水文局荆江水文水资源勘测局,湖北 荆州 434000
- 折叠
摘要
Abstract
To address the limitations of traditional water pollution monitoring in coverage and delayed prevention response,a multi-source data fusion-based method for water pollution monitoring and control is proposed.By integrating satellite remote sensing,Internet of Things sensor data and historical archival records,a weighted fusion model is constructed.Combined with deep learning,the method achieves real-time water quality monitoring,intelligent early warning and risk assessment,along with collaborative control strategies.Case studies demonstrate that monitoring accuracy exceeds 94%,early warning response time is reduced by approximately 73%,providing reliable technical support for refined water environment management.关键词
多源数据融合/水污染监测/智能预警/风险评估/协同防控Key words
multi-source data fusion/water pollution monitoring/intelligent early warning/risk assessment/collaborative pollution control分类
资源环境引用本文复制引用
汪梦琪,徐志..基于多源数据融合的水污染监测与防控方法[J].中国资源综合利用,2026,44(9):208-210,3.
