Construction of Water Pollution Monitoring Model after Flood Disaster Based on Big Data Analysis

In view of the poor performance of pollution load reduction of the traditional monitoring model of water quality pollution after flood disaster, a monitoring model of water quality pollution after flood disaster based on big data analysis is constructed. The data of water quality pollution after flood disaster are obtained based on big data analysis, including the accumulated data of surface pollutants after flood disaster, the data of pipeline deposition after flood disaster, and the data of water after flood disaster. According to the biochemical reaction data in vivo, the "best point", "worst point" and "expected point" data corresponding to each pollution index are calculated, the reference value of matter element analysis corresponding to each pollution index is obtained, the comprehensive correlation function value of monitoring points is calculated, and the optimization of monitoring points is realized. According to the basic equations and generalization results of the model, the water pollution monitoring model is constructed. The model module includes water pollution information management module, water situation acquisition module and water pollution monitoring module. In order to verify that the pollution load reduction performance of the water pollution monitoring model after flood disaster based on big data analysis is strong, the traditional water pollution monitoring model after flood disaster is compared with the model. The experimental results show that the pollution load reduction performance of the model is better than the traditional water pollution monitoring model after flood disaster, and it is more suitable for water pollution monitoring after flood disaster.