Spatial and Temporal Divergence of Water Resource Carrying Capacity in Hubei Province, China, from the Perspective of Three Major Urban Agglomerations

被引:0
作者
Liu, Zhonglan [1 ,2 ]
Bao, Yuanyuan [1 ,2 ]
机构
[1] China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China
[2] Minist Nat Resources, Key Lab Law & Govt Res, Wuhan 430074, Peoples R China
关键词
water resource carrying capacity; spatial and temporal evolution; urban agglomerations; regional differences; Hubei Province; China; SYSTEM; MODEL; CITY;
D O I
10.3390/su16125059
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water resource carrying capacity is indispensable for sustainable development, acting as a crucial determinant for harmonizing ecological preservation with socio-economic development. This study centers on Hubei Province, which is an important water conservation area in the Yangtze River Basin and is one of the core water source areas for the South-to-North Water Diversion Project, and evaluates the water resource carrying capacity of the three major urban agglomerations in Hubei Province from 2005 to 2020 based on the four dimensions of water resources, economics, society, and ecology, using the entropy weighting method and the TOPSIS model to construct an evaluation index system. We then employ the kernel density estimation method, ArcGIS visualization, and the Dagum Gini coefficient method to perform a comprehensive analysis of spatial and temporal differences, dynamic evolution, and contribution sources. The results show that (1) the water resource carrying capacity of Hubei Province as a whole increased from a severe overload to overload level during the study period. The water resource carrying capacity of the three major urban agglomerations shows a regional distribution pattern where the Yi-Jing-Jing-En agglomeration's capacity surpasses that of the Wuhan urban agglomeration, which is bigger than Xiang-Shi-Sui-Shen urban agglomeration. A lower ecological water use rate primarily constrains the enhancement of the carrying capacity of water resources in Hubei Province. (2) The kernel density estimation reveals an increase in the overall water resource carrying capacity across Hubei Province's three major urban agglomerations during the study period, alongside a pronounced trend towards polarization. (3) While the overall Gini coefficient, indicating an imbalance in water resource carrying capacity in Hubei Province, remains high, it demonstrates a declining trend, suggesting a growing disparity in water resource carrying capacity across the province's three major urban agglomerations. Hubei Province's water resource carrying capacity faces challenges of an overall imbalance and localized vulnerability. Strategies should aim to enhance synergy, address these deficiencies directly, and devise targeted measures tailored to the distinct features of various urban clusters.
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页数:22
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共 36 条
[1]   Water resources carrying capacity assessment: The case of Algeria's capital city [J].
Ait-Aoudia, Meriem Naimi ;
Berezowska-Azzag, Ewa .
HABITAT INTERNATIONAL, 2016, 58 :51-58
[2]   The DPSIRM - Grey cloud clustering method for evaluating the water environment carrying capacity of Yangtze River economic Belt [J].
Chai, Naijie ;
Zhou, Wenliang .
ECOLOGICAL INDICATORS, 2022, 136
[3]   The driving effect of spatial-temporal difference of water resources carrying capacity in the Yellow River Basin [J].
Chen, Qiyong ;
Zhu, Mengting ;
Zhang, Chenjun ;
Zhou, Qin .
JOURNAL OF CLEANER PRODUCTION, 2023, 388
[4]   Water Resources Carrying Capacity Based on the DPSIRM Framework: Empirical Evidence from Shiyan City, China [J].
Cheng, Wenming ;
Zhu, Jing ;
Zeng, Xiaochun ;
You, Yuan ;
Li, Xuetao ;
Wu, Jun .
WATER, 2023, 15 (17)
[5]   Evaluating water resource sustainability from the perspective of water resource carrying capacity, a case study of the Yongding River watershed in Beijing-Tianjin-Hebei region, China [J].
Dai, Dan ;
Sun, Mingdong ;
Lv, Xubo ;
Lei, Kun .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (17) :21590-21603
[6]   Spatial-temporal evolution law analysis of resource and environment carrying capacity based on game theory combination weighting and GMD-GRA-TOPSIS model. Evidence from 18 cities in Henan Province, China [J].
Dai, Rongkun ;
Xiao, Changlai ;
Liang, Xiujuan ;
Yang, Weifei ;
Chen, Jiaqi ;
Zhang, Linzuo ;
Zhang, Jiang ;
Yao, Jiarui ;
Jiang, Yuexiao ;
Wang, Weixing .
JOURNAL OF CLEANER PRODUCTION, 2024, 439
[7]   Evaluation and spatial-temporal evolution of water resources carrying capacity in Dongting Lake Basin [J].
Deng, Zhenghua ;
Dai, Liqi ;
Deng, Bing ;
Tian, Xiaoyong .
JOURNAL OF WATER AND CLIMATE CHANGE, 2021, 12 (05) :2125-2135
[8]   Theoretical exploration for the combination of the ecological, energy, carbon, and water footprints: Overview of a footprint family [J].
Fang, Kai ;
Heijungs, Reinout ;
de Snoo, Geert R. .
ECOLOGICAL INDICATORS, 2014, 36 :508-518
[9]   Application of system dynamics in analyzing the carrying capacity of water resources in Yiwu City, China [J].
Feng, Li-Hua ;
Zhang, Xing-Cai ;
Luo, Gao-Yuan .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2008, 79 (03) :269-278
[10]   Uncertain Analysis of Fuzzy Evaluation Model for Water Resources Carrying Capacity: A Case Study in Zanhuang County, North China Plain [J].
Ge, Yinxin ;
Wu, Jin ;
Zhang, Dasheng ;
Jia, Ruitao ;
Yang, Haotian .
WATER, 2021, 13 (20)