Grey regressive prediction method of urban life water consumption

Based on data mining, the main impact factors of urban life water consumption are made gray relational analysis with the water consumption. The main driving factors of urban life water consumption are discussed. By the gray forecasting of the development trends of the main impact factors, a grey prediction of GM (0, N) model on urban life water is established. An instance proves to fit the data better. The model is based on the short and medium term forecasts of urban population and per capita disposable income to predict the urban life water annual consumption. Finally, the recommendations and effective measures to mitigate the urban water crisis are proposed.