Abstract:
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.
