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

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• 作者：K. Rathnayaka^a ; ^{krathnayaka@unimelb.edu.au} ; ^{rpkcs78@gmail.com} ; H. Malano^a ; ^{h.malano@unimelb.edu.au} ; M. Arora^a ; ^{marora@unimelb.edu.au} ; B. George^b ; ^{B.George@cgiar.org} ; S. Maheepala^c ; ^{Shiroma.Maheepala@citywestwater.com.au} ; B. Nawarathna^d ; ^{B.Nawarathna@bom.gov.au}
• 关键词：End-use water demand ; Residential water use ; Stochastic modeling ; Spatial variability ; Temporal variability
• 刊名：Resources, Conservation and Recycling
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：117
• 期：part_PB
• 页码：85-92
• 全文大小：1164 K
• 卷排序：117

文摘

An improved end-use water demand model was developed. The model intends to predict at multiple spatial and temporal scales. The model considers known water demand determinants and unexplained behavior. The model can be used to predict peak water demand for residential water end-uses. The paper also assesses the impacts of structural and demographic factors.