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 Ch...

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Main Authors: Lina Liu, Fen Ouyang, Weilin Liu, Zhanxiong Zhou, Biaobiao Yin
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2025.1568294/full
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author Lina Liu
Fen Ouyang
Weilin Liu
Zhanxiong Zhou
Biaobiao Yin
author_facet Lina Liu
Fen Ouyang
Weilin Liu
Zhanxiong Zhou
Biaobiao Yin
author_sort Lina Liu
collection DOAJ
description 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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publisher Frontiers Media S.A.
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spelling doaj-art-0c965e46dded4836a46219f849d7466e2025-08-20T01:52:14ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2025-05-011310.3389/fenvs.2025.15682941568294Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, ChinaLina LiuFen OuyangWeilin LiuZhanxiong ZhouBiaobiao YinInvestigating 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.https://www.frontiersin.org/articles/10.3389/fenvs.2025.1568294/fullwater consumption structurespatiotemporal characteristicsdriving factorgravity center modelinformation entropyfactor analysis
spellingShingle Lina Liu
Fen Ouyang
Weilin Liu
Zhanxiong Zhou
Biaobiao Yin
Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China
Frontiers in Environmental Science
water consumption structure
spatiotemporal characteristics
driving factor
gravity center model
information entropy
factor analysis
title Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China
title_full Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China
title_fullStr Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China
title_full_unstemmed Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China
title_short Spatiotemporal dynamics and driving forces of water consumption patterns: insights from Jiangxi Province, China
title_sort spatiotemporal dynamics and driving forces of water consumption patterns insights from jiangxi province china
topic water consumption structure
spatiotemporal characteristics
driving factor
gravity center model
information entropy
factor analysis
url https://www.frontiersin.org/articles/10.3389/fenvs.2025.1568294/full
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AT fenouyang spatiotemporaldynamicsanddrivingforcesofwaterconsumptionpatternsinsightsfromjiangxiprovincechina
AT weilinliu spatiotemporaldynamicsanddrivingforcesofwaterconsumptionpatternsinsightsfromjiangxiprovincechina
AT zhanxiongzhou spatiotemporaldynamicsanddrivingforcesofwaterconsumptionpatternsinsightsfromjiangxiprovincechina
AT biaobiaoyin spatiotemporaldynamicsanddrivingforcesofwaterconsumptionpatternsinsightsfromjiangxiprovincechina