Quantifying the Impact of Climate Change on Household Water Use in Mega Cities: A Case Study of Beijing, China

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@Article{zhang:2025:Sustainability,

• author = "Yubo Zhang and Yongnan Zhu and Haihong Li and Lichuan Wang and Longlong Zhang and Haokai Ding and Hao Wang",
• title = "Quantifying the Impact of Climate Change on Household Water Use in Mega Cities: A Case Study of Beijing, China",
• journal = "Sustainability",
• year = "2025",
• volume = "17",
• number = "12",
• pages = "Article No. 5628",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "2071-1050",
• URL = "https://www.mdpi.com/2071-1050/17/12/5628",
• DOI = "doi:10.3390/su17125628",
• abstract = "Amid rapid urbanization and climate change, global urban water consumption, particularly household water use, has continuously increased in recent years. However, the impact of climate change on individual and household water use behaviour remains insufficiently understood. In this study, we conducted tracking surveys in Beijing, China, to determine the correlation between climatic factors (e.g., temperature, precipitation, and wind) and household water use behaviours and consumption patterns. Furthermore, we proposed a genetic programming-based algorithm to identify and quantify key meteorological factors influencing household and personal water use. The results demonstrated that water use is mainly affected by temperature, particularly the daily maximum (TASMAX) and minimum (TASMIN) near-surface air temperature. In addition, showering and personal cleaning account for the largest proportion of water use and are most affected by meteorological factors. For every 10 ?C increase in TASMAX, showering water use nonlinearly increases by 3.46 L/d/person and total water use nonmonotonically increases by 1.14 L/d/person. When TASMIN varies between -10 ?C and 0 ?C, a significant change in personal cleaning water use is observed. We further employed shared socioeconomic pathway scenarios of the Coupled Model Intercomparison Project 6 to forecast household water use. The results showed that residential water use in Beijing will increase by 21-33percent by 2035 compared with 2020. This study offers a groundbreaking perspective and transferable methodology for understanding the effects of climate change on household water use behaviour, providing empirical foundations for developing sustainable water resource management strategies.",
• notes = "also known as \cite{su17125628}",

}

Genetic Programming entries for Yubo Zhang Yongnan Zhu Haihong Li Lichuan Wang Longlong Zhang Haokai Ding Hao Wang

Citations