Characterizing Patterns and Drivers of Single-Family Household Water Uses in Arizona Using High-Resolution Smart-Metered Data

IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Cibi Vishnu Chinnasamy, Mazdak Arabi, Peter Mayer, Grant Bernosky, Travis Warziniack
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Abstract

This study aims to characterize single-family household water consumption utilizing smart-metered subdaily water use data from more than 700 single-family households across the state of Arizona in the United States for the water year 2022. Using statistical evidence, we identify factors that drive household water consumption such as the number of occupants, appliance efficiency, and the presence of a swimming pool. Furthermore, climate and other regional drivers of water use are investigated. The analysis encompasses mixed-effects regression models to assess water use patterns on daily, weekly, monthly, and seasonal time-steps. The findings show that approximately 64% of water consumption in Arizona was used for outdoor purposes. Households with a swimming pool use approximately 56% more water overall than those without a pool. Even indoor water use is nearly 26% greater in households with a swimming pool. Deep analysis of smart-metered water use data offers greater insights into the efficiency levels of appliances in a household. Households with high-efficiency appliances use about 18.5% less water than households without high-efficiency appliances. Analysis indicates that log-linear mixed-effects regression models provide the most robust assessments for relating water consumption with household and regional factors. This study helps water managers identify and implement water conservation and demand reduction strategies in single-family neighborhoods.

Abstract Image

使用高分辨率智能仪表数据表征亚利桑那州单户家庭用水模式和驱动因素
本研究旨在利用2022年美国亚利桑那州700多户单户家庭的智能水表次日用水数据来表征单户家庭的用水量。利用统计证据,我们确定了驱动家庭用水量的因素,如住户人数、电器效率和游泳池的存在。此外,还研究了气候和其他区域用水驱动因素。该分析包括混合效应回归模型,以评估每日、每周、每月和季节性时间步骤的用水模式。调查结果显示,亚利桑那州大约64%的水消耗用于户外用途。有游泳池的家庭总体用水量比没有游泳池的家庭大约多56%。即使是有游泳池的家庭,室内用水量也要高出近26%。对智能水表使用数据的深入分析,可以更深入地了解家庭电器的效率水平。使用高效能电器的家庭比没有使用高效能电器的家庭用水量少约18.5%。分析表明,对数-线性混合效应回归模型为将用水量与家庭和区域因素联系起来提供了最可靠的评估。这项研究有助于水资源管理者确定和实施单户社区的节水和减少需求战略。
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来源期刊
Journal of The American Water Resources Association
Journal of The American Water Resources Association 环境科学-地球科学综合
CiteScore
4.10
自引率
12.50%
发文量
100
审稿时长
3 months
期刊介绍: JAWRA seeks to be the preeminent scholarly publication on multidisciplinary water resources issues. JAWRA papers present ideas derived from multiple disciplines woven together to give insight into a critical water issue, or are based primarily upon a single discipline with important applications to other disciplines. Papers often cover the topics of recent AWRA conferences such as riparian ecology, geographic information systems, adaptive management, and water policy. JAWRA authors present work within their disciplinary fields to a broader audience. Our Associate Editors and reviewers reflect this diversity to ensure a knowledgeable and fair review of a broad range of topics. We particularly encourage submissions of papers which impart a ''take home message'' our readers can use.
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