流域水污染监测与溯源技术研究进展

Research Progress on the Monitoring and Traceability Technology of Water Pollution in River Basins

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。

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.