ORIGINAL RESEARCH
Spatiotemporal Heterogeneity and Driving
Mechanisms of Water Resources Carrying
Capacity Based on Ecological Civilization:
A Case Study of Yunnan, China
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1
School of Tourism and Aviation services, Wuhan Polytechnic, Wuhan, Hubei 430000, PR China
2
Business School, Wuhan Polytechnic, Wuhan, Hubei 430000, PR China
3
School of Earth Resources, China University of Geosciences, Wuhan, Hubei 430078, PR China
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School of Ecology and Environment, Hubei Ecology Polytechnic College, Wuhan, Hubei 430200, PR China
Submission date: 2024-08-01
Final revision date: 2024-10-01
Acceptance date: 2024-11-20
Online publication date: 2025-02-25
Corresponding author
Hongbo Mei
School of Earth Resources, China University of Geosciences, Wuhan, Hubei 430078, PR China
KEYWORDS
TOPICS
ABSTRACT
Water resource carrying capacity (WRCC) is an important index used to measure the sustainable
development of a system. Under the background of ecological civilization, research on the
spatiotemporal differentiation of regional WRCC and its driving mechanism remains insufficient.
The sustainable social and economic development in Yunnan Province still faces water resource
challenges for multiple reasons, such as engineering, water shortage, and water pollution. Therefore,
based on the analysis of regional water resource endowment and utilization during 2010–2021 in
Yunnan Province, this study explores the spatiotemporal variation of regional WRCC and its driving
mechanism. First, a comprehensive evaluation index system covering water resources, society,
economy, and ecological environment is constructed, with a total of 20 indicators. Then, an improved
TOPSIS WRCC evaluation model is constructed based on subjective and objective comprehensive
weighting methods. Finally, the geographically and temporally weighted regression (GTWR) model
is introduced to examine the driving analysis of WRCC. Results show the following: (1) The WRCC
of Yunnan Province depicts an overall increasing trend from the year 2010 to 2021. (2) The WRCC
of Yunnan Province has remarkable spatial heterogeneity, and the water resource subsystem is still
the major driving force.