Research on Identification and Risk Assessment Methods of Water Pollution Sources
In this study,water pollution source identification and risk assessment methods are discussed in depth,the limitations of current methods are analyzed,and improvement strategies are proposed.The introduction of new technologies such as the Internet of Things,remote sensing technology and artificial intelligence has significantly improved the accuracy and efficiency of recognition.Through big data and model optimization,the scientific nature of risk assessment has been enhanced.Case studies show that these improved methods have achieved remarkable results in practical applications,effectively improving water quality and ecosystem health.The research results provide a solid scientific basis and practical guidance for water environment management,and have very important application value.
water pollution source identificationrisk assessmentnew technologybig data analysisecological restoration
NETL
NSTL
万方数据
