Research on Intelligent Distribution and Regulation of Water Resources based on Grey Prediction and TOPSIS

Abstract

This paper collected historical data of water resources of provincial administrative units in China, used the grey prediction model to predict the supply and demand of freshwater resources in China from 2020 to 2032 and obtained the final prediction results. Then, this paper calculated the coefficient of variation in water supply, the coefficient of supply and demand, the coefficient of pollution, and other indicators and used the TOPSIS model based on the entropy weight method to determine the proportion of each indicator. The ranking of the water demand degree of each city, water resource pollution degree, and seawater desalination potential are calculated according to the weights. Specific schemes of priority water storage, water protection, and seawater desalination facilities are provided. Finally, based on the model 2 conclusion to determine water city, the provincial administrative units prepare for the node figure, Dijkstra algorithm using MATLAB program, to solve the shortest path, get the four most economical and efficient route, specific route plan for water transport.