Residential Water Consumption Modeling in the Integrated Urban Metabolism Analysis Tool (IUMAT)

被引：23
|
作者：
Mostafavi, Nariman [1 ]
Shojaei, Hamid Reza [2 ]
Beheshtian, Arash [3 ]
Hoque, Simi [1 ]
机构：
[1] Drexel Univ, Dept Civil Architectural & Environm Engn, 3141 Chestnut St,Curtis 251, Philadelphia, PA 19104 USA
[2] Univ Massachusetts, Dept Phys, 1126 Leder Grad Res Tower LGRT, Amherst, MA 01003 USA
[3] Cornell Univ, Dept City & Reg Planning, 129 Sibley Dome, Ithaca, NY 14853 USA
来源：
RESOURCES CONSERVATION AND RECYCLING | 2018年 / 131卷
基金：
美国国家科学基金会;
关键词：
Urban water use; Water consumption modeling; Residential water consumption; IUMAT; Urban metabolism; BLOCK RATES; DEMAND; PRICE; MANAGEMENT; DETERMINANTS; HOUSEHOLDS; ELASTICITIES; METAANALYSIS; INFORMATION; AUSTRALIA;
D O I：
10.1016/j.resconrec.2017.12.019
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper details a method for residential water consumption modeling within the Integrated Urban Metabolism Analysis Tool (IUMAT), a computational modeling platform for evaluating environmental performance of urban communities under alternative growth scenarios. A bottom-up approach is introduced to generate end-use indoor and outdoor water profiles by applying GLM and Ridge regression methods to Residential End Uses of Water, Version 2 (REU II-2016) dataset and investigating the influence of demographic and climate factors, as well as utility rate structures on patterns of consumption. The data is collected from 2010 through 2013 by nine utilities that operate in North America on 771 and 838 single family units for indoor and outdoor water use respectively. Potential advances to surveying methods as well as the need for tools that allow simultaneous, isolated assessment of educational and technological conservation measures are explained.
引用
收藏
页码：64 / 74
页数：11
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