Analysis of the Response of Urban Water Consumption to Climatic Variables: Case Study of Khorramabad City in Iran

Iran is located in a dry climate belt. Such conditions have made the supply of urban water resources one most fundamental management challenges. The amount consumed city affected by weather greatly such that as changes, changes well. In this study, several models including zero-order Pearson’s correlation coefficient, first-order correlation, generalized additive model (GAM), linear (GLM), support vector machine (SVM-Nu), and simplex optimization algorithm were used order to identify linear/nonlinear reactions monthly consumption individual combined associations meteorological variables (temperature, air pressure, relative humidity) Khorramabad city. Zero-order correlations showed that, controlling temperature, effect pressure humidity on increase. On other hand, both GAM same result nonlinear response pressure. spline method also revealed eliminating reaction was increasing, effects temperature intensified. general, decreasing household decreases drastically. These are generally provided entering low-pressure systems.