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

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城市用水量对气候变量的响应分析：以伊朗霍拉马巴德市为例

伊朗位于气候干燥带。这种情况使城市水资源供应成为最根本的管理挑战之一。一个城市的用水量受天气条件的影响很大，因此随着天气的变化，用水量也随之变化。在这项研究中，使用了包括零阶皮尔逊相关系数，一阶皮尔逊相关性，广义加性模型（GAM），广义线性模型（GLM），支持向量机（SVM-Nu）和单纯形优化算法在内的几种模型。为了确定Khorramabad市每月用水量与气象变量（温度，气压和相对湿度）的个别和组合关联的线性/非线性反应。零阶和一阶相关性表明，通过控制空气温度，压力和相对湿度对用水量变化的影响会增加。另一方面，单独的GAM模型和组合的GAM模型在相对于相对湿度和气压变化的耗水量非线性响应中显示出相同的结果。样条法还显示，通过消除气温的影响，耗水量对压力和相对湿度变化的非线性反应正在增加，而通过消除相对湿度和气压的影响，耗水量的非线性反应也正在增加。空气温度升高。通常，通过降低气压和温度，城市家庭用水量将大大减少。通常通过进入低压系统来提供这些条件。