Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China

Investigating the spatiotemporal dynamics and underlying determinants of water consumption structure is of great importance for the strategic allocation of regional water resources and the promotion of economic and societal sustainability. This study, using Jiangxi province located in the Central China as a case study, employed information entropy and the center of gravity model to explore the spatiotemporal variations in water consumption patterns from 1999 to 2015. Additionally, the principal driving forces behind these changes were elucidated through factor analysis and grey correlation methods. The results indicated a consistent upward trajectory in Jiangxi’s total water consumption over the past two decades, with agricultural water accounting for the majority but gradually decreasing. The water consumption structure in Jiangxi province remained relatively stable, evolving towards a more equitable distribution. Notably, the spatial configuration of water consumption revealed obvious regional disparities, with high information entropy values predominantly in the northern areas, including Nanchang, Jingdezhen, and Jiujiang, while lower values in the southeastern regions. The epicenter of water consumption gradually shifted towards southern Jiangxi. Concurrently, the agricultural water use center migrated toward the northern, whereas the industrial and domestic water use centers moved southwards. Contrasting natural influences, socioeconomic factors, exemplified by population, urban population proportion, total output value of agriculture, forestry, animal husbandry, and fisheries, industrial output value, GDP, effective irrigation area, grain output value, and urban green coverage area, emerged as predominant, contributing to 67.7% of the alterations in water consumption patterns.

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Publication Details

Journal
Frontiers in Environmental Science
Published
2025-05-19
DOI
https://doi.org/10.3389/fenvs.2025.1568294
Citations
1
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
1.15

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article

Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China

Ouyang Fen, Bingchuan Yin, Lina Liu, Weilin Liu et al.
1 citations
Frontiers in Environmental Science
Water resources management and optimization
1.15
article

Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China

Ouyang Fen, Bingchuan Yin, Lina Liu, Weilin Liu, Zhanxiong Zhou
article en
1 citations

Abstract

Investigating the spatiotemporal dynamics and underlying determinants of water consumption structure is of great importance for the strategic allocation of regional water resources and the promotion of economic and societal sustainability. This study, using Jiangxi province located in the Central China as a case study, employed information entropy and the center of gravity model to explore the spatiotemporal variations in water consumption patterns from 1999 to 2015. Additionally, the principal driving forces behind these changes were elucidated through factor analysis and grey correlation methods. The results indicated a consistent upward trajectory in Jiangxi’s total water consumption over the past two decades, with agricultural water accounting for the majority but gradually decreasing. The water consumption structure in Jiangxi province remained relatively stable, evolving towards a more equitable distribution. Notably, the spatial configuration of water consumption revealed obvious regional disparities, with high information entropy values predominantly in the northern areas, including Nanchang, Jingdezhen, and Jiujiang, while lower values in the southeastern regions. The epicenter of water consumption gradually shifted towards southern Jiangxi. Concurrently, the agricultural water use center migrated toward the northern, whereas the industrial and domestic water use centers moved southwards. Contrasting natural influences, socioeconomic factors, exemplified by population, urban population proportion, total output value of agriculture, forestry, animal husbandry, and fisheries, industrial output value, GDP, effective irrigation area, grain output value, and urban green coverage area, emerged as predominant, contributing to 67.7% of the alterations in water consumption patterns.

Frontiers in Environmental ScienceVol. 13
Jiangxi University of Water Resources and Electric Power (CN), Jiangxi Provincial Institute of Water Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
Water resources management and optimization
1.15
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