An agent-based framework for high-resolution modeling of domestic water use
An agent-based framework for high-resolution modeling of domestic water use
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DOI：
10.1016/j.resconrec.2021.105520
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发表时间：
2021-06
影响因子：
13.2
通讯作者：
Yiming Wang;Yuyu Zhou;K. Franz;Xuesong Zhang;K. Ding;G. Jia;Xing Yuan
中科院分区：
文献类型：
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作者：
Yiming Wang;Yuyu Zhou;K. Franz;Xuesong Zhang;K. Ding;G. Jia;Xing Yuan
近年来，由于快速的城市扩张、社会经济发展、人口增长和气候变化，许多城市都面临着严重的缺水问题。生活用水在城市用水总量中占有重要地位。在制定适应气候变化和城市化条件下高效用水的措施时，迫切需要一个估算家庭用水量的框架。在这项研究中，我们开发了一个基于主体的模型(ABM)，该模型包含两组主体来估算生活用水。这两个群体包括决定收入增长率、调整水价、推广节水电器的政府机构，以及用水的住宅机构。为了更好地捕捉城市化和气候变化对用水的影响，将住宅用水效用函数进一步划分为与经济条件相关的基础用水和对气候条件敏感的季节性用水。此外，还提出了BASS扩散模型，并将其集成到ABM中，以考虑节水电器的扩散。结果表明，该模型能较好地反映不同地区生活用水的时空格局。在中国的研究城市中，中心城区的居民比郊区的居民用水量更多，但在美国的研究县，情况正好相反。收入增长和节水设备是影响生活用水的两个因素。拟议的建模框架可转移到其他区域，以制定减少生活用水的战略。
Many cities have been suffering from severe water deficiency in recent years due to rapid urban expansion, socioeconomic development, population growth, and climate change. Domestic water use plays an important role in the total urban water use. A framework for estimating domestic water use is highly needed to develop adaptive measures for efficient water use under climate change and urbanization. In this study, we developed an agent-based model (ABM) with two groups of agents to estimate the domestic water use. These two groups include the government agent that determines the income growth rate, adjusts water prices, and promotes water-efficient appliances, and the residential agents who consume water. To better capture the impact of urbanization and climate change on water use, the utility function of residential agents was further divided into base water use related to economic condition and seasonal water use that is sensitive to climate conditions. Moreover, a bass diffusion model was proposed and integrated into the ABM to consider the diffusion of water-efficient appliances. Results show that our ABM can capture the spatiotemporal pattern of domestic water use in different regions. Residents in the central urban area consume more water compared to residents in the suburbs in the study cities in China, but it is opposite in the study counties in the US. The growth of income and water-efficient appliances are two factors affecting domestic water use. The proposed modeling framework is transferrable to other regions to develop strategies for mitigating domestic water use.