Urban water demand forecasting based on climatic change scenarios

Water resources projects, are designed to serve for many years to meet water needs. Therefore, the future water demand forecasting is of great importance for planning and management of water resources. In this study, a multi linear regression model is built to forecast urban water consumptions based a series of variables, namely the population served, monthly mean temperature and monthly total precipitation. Using the extended values of the variables up to the year 2100 based on climatic change scenarios, urban water demands are forecasted up to 2100