Evolution in Patterns of Urban Water Consumption Accompanying Socio-Economic Development

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@Article{he:2024:Sustainability,

• author = "Sizhong He and Zhenzhen Ma and Huashan Wang and Yuqin Gao",
• title = "Evolution in Patterns of Urban Water Consumption Accompanying {Socio-Economic} Development",
• journal = "Sustainability",
• year = "2024",
• volume = "16",
• number = "9",
• pages = "Article No. 3737",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "2071-1050",
• URL = "https://www.mdpi.com/2071-1050/16/9/3737",
• DOI = "doi:10.3390/su16093737",
• abstract = "To explore the evolution in patterns of urban water consumption (UWC) accompanying socio-economic development, historical data on socio-economic conditions and water consumption in developed cities worldwide were collected. stages of evolution and patterns in UWC were identified through Pettitt tests. Through correlation analysis, the main socio-economic indicators influencing UWC were identified, and their threshold values for different trends in the evolution of UWC were statistically analysed. The use of these patterns of evolution for UWC prediction was explored taking Changsha, China as a case study. Results indicate the following: (1) UWC typically increases in the early stage of development and then stabilizes or decreases later; (2) when UWC stabilizes or decreases, socio-economic indicators, namely per capita GDP, tertiary industry's contribution to GDP, and urbanization rate, range from [USD 10,000, 60,000], [60percent, 80percent], and [85percent, 95percent], respectively, entering or approaching the developed economy stage. (3) Using patterns in this evolution, Changsha's UWC is predicted to increase until the turning point, which will occur between 2027 and 2035 (earlier than that predicted using genetic programming) and then decrease earlier than that of Hunan Province or the entirety of China. Predicted values are lower than those obtained using the quota method. This study provides a new perspective on relationships between UWC and socio-economic conditions, supporting water resources planning.",
• notes = "also known as \cite{su16093737}",

}

Genetic Programming entries for Sizhong He Zhenzhen Ma Huashan Wang Yuqin Gao

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