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流域水污染监测与溯源技术研究进展
引用本文:魏潇淑,陈远航,常明,高红杰,张列宇.流域水污染监测与溯源技术研究进展[J].中国环境监测,2022,38(5):27-37.
作者姓名:魏潇淑  陈远航  常明  高红杰  张列宇
作者单位:中国环境科学研究院, 流域水环境污染综合治理研究中心, 北京 100012;中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012
基金项目:国家重点研发计划"智能监测预警系统及设备物联化研究"(2020YFC1807903);中央级公益性科研院所基本科研业务专项(2019YSKY-019)
摘    要:水污染特征识别和溯源是实施水污染精准治污的关键一步,也是流域水污染防治工作的前提。该文概述了不同分析监测技术、传统溯源方法与人工智能在水污染监测与溯源中的应用进展。光谱分析由于灵敏度高、准确度好,在实现水污染快速监测中应用最为广泛。传统溯源方法在复杂多样的水污染事故中不能准确快速地确定其污染源类型,而人工智能技术由于可以解决动态环境问题中的不确定性和复杂性,能够准确、智能地识别水质特征和追踪污染源。将人工智能与传统技术相结合是流域水污染溯源的发展趋势。展望了人工智能在水污染溯源方面的应用前景,为实现流域水污染全面监管提供了新的思路。

关 键 词:水污染|监测|溯源|光谱分析|人工智能
收稿时间:2021/8/5 0:00:00
修稿时间:2022/6/2 0:00:00

Research Progress on the Monitoring and Traceability Technology of Water Pollution in River Basins
WEI Xiaoshu,CHEN Yuanhang,CHANG Ming,GAO Hongjie,ZHANG Lieyu.Research Progress on the Monitoring and Traceability Technology of Water Pollution in River Basins[J].Environmental Monitoring in China,2022,38(5):27-37.
Authors:WEI Xiaoshu  CHEN Yuanhang  CHANG Ming  GAO Hongjie  ZHANG Lieyu
Institution:Basin Research Center for Water Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China
Abstract:Identification of water pollution characteristics and tracing the source of water pollutants is a key step for implementing accurate water pollution control and is also the premise of watershed water pollution control.This paper summarizes the application progress of different analytical and monitoring techniques,traditional traceability methods and artificial intelligence in water pollution monitoring and traceability.Spectral analysis is widely used in water pollution monitoring because of its high sensitivity and accuracy.The complex pollution source composition cannot be quickly and accurately determined by traditional traceability methods.Artificial intelligence technology can accurately and intelligently identify water pollution characteristics and pollution sources because it can solve the uncertainty and complexity of dynamic environment.The combination of artificial intelligence and traditional technology is the development trend of watershed water pollution traceability.In this paper,the application prospect of artificial intelligence in water pollution traceability is prospected,which provides a new idea for comprehensive monitoring of watershed water pollution.
Keywords:water pollution|monitoring|traceability|spectral analysis|artificial intelligence
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