Prediction of urban residential end-use water demands by integrating known and unknown water demand drivers at multiple scales I: Model development

摘要: Detailed prediction of water demand by their end-uses at multiple scales is essential to support planning Integrated Urban Water Management, an increasingly applied approach deal with the problem scarcity. This paper presents urban residential modeling framework that can predict end-use scales, especially small a robust explanatory capacity. achieved integrating complex dynamics use and underlying variables into single model. The model described in this study shower, toilet, tap, dishwasher, clothes washer, irrigation, evaporative cooler, bath, other uses which account for entire household use. aims spatial (household/cluster/suburb) temporal (hourly, daily, weekly seasonal) considering behavioral differences triggered factors such as seasonality presence people home. incorporates improved representation variability between customer groups, improves capability areas different demographic housing characteristics. research confirms capacity stochastic methods represent unexplained behavior consumers.