Evidence map›Paper›PMID 39264893›Full record

ArticlePloS one2024

Study on water resources carrying capacity based on Pressure-State-Response modeling: An empirical study of the urban agglomeration in Central Yunnan, China.

Jing Zhang, Wenchuang Guan, Guangping Wu, Jing Wang, Biyu Rao, Bulin Zhang

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jing ZhangSchool of Business Administration, Liaoning Technical University, Huludao, China.
Wenchuang GuanSchool of Architecture and Engineering, Yunnan Agricultural University, Kunming, China.
Guangping WuSchool of Architecture and Engineering, Yunnan Agricultural University, Kunming, China.
Jing WangSchool of Architecture and Engineering, Yunnan Agricultural University, Kunming, China.ORCID 0009-0004-0234-9035
Biyu RaoSchool of Architecture and Engineering, Yunnan Agricultural University, Kunming, China.
Bulin ZhangSchool of Business Administration, Liaoning Technical University, Huludao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water resources carrying capacity (WRCC) is the basis for sustainable regional development and an important indicator of core competitiveness, and its quantitative assessment and comparison is a key link in clarifying the development capacity of the region. The study comprehensively considers economic, social, resource, environmental and ecological factors, constructs a WRCC evaluation index system based on the Pressure-State-Response (PSR) model, adopts the entropy value method to assign weights to each index, and utilizes the set-pair analysis method and the obstacle diagnostic model to evaluate WRCC of the urban agglomerations in central Yunnan (UACY) in the period from 2008 to 2020. The results show that the comprehensive development of WRCC of UACY is characterized by stage-by-stage evolution in the time dimension, with a decreasing trend in the carrying capacity from 2008 to 2012, and an overall fluctuating upward development trend from 2013 to 2020. In the spatial dimension, Kunming's WRCC is generally poor, and Honghe and Yuxi have the greatest advantages in water resources storage and conservation capacity. The stress of water use in Kunming is higher, but Kunming has advantages in industrial structure and water resources development and utilization rate. Through the diagnosis of obstacle degree, the main obstacle factors of WRCC have large differences among cities (states), but the main subsystems constraining WRCC are all pressure subsystems. The results of the study can provide data support for water resources related policies and rational water resources dispatching in the UACY.

Indexed as

Water ResourcesChinaCitiesConservation of Natural ResourcesConservation of Water ResourcesHumansModels, TheoreticalUrbanizationWater Supply

Identifiers

PMID39264893
PMCPMC11392274

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