Tracing Water Pollution Sources via Multi-Source Data Integration and Analysis
To meet the demand for rapid tracing of water pollution,this article proposes a multivariate causal driven water pollution tracing technology solution.Firstly,knowledge graph technology and causal analysis technology are applied to construct a knowledge network,and abnormal features are analyzed by combining data and knowledge.Then,time series anomaly methods are used to analyze the pollution event chain,achieving dynamic monitoring of the watershed and traceability of water pollution.The experimental results indicate that the proposed solution can provide high-quality and efficient anomaly analysis services,which can provide strong support for intelligent management of rivers and lakes.