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基于压力-状态-响应模型的水资源承载力研究:以中国滇中城市群为例的实证研究。

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

机构信息

School of Business Administration, Liaoning Technical University, Huludao, China.

School of Architecture and Engineering, Yunnan Agricultural University, Kunming, China.

出版信息

PLoS One. 2024 Sep 12;19(9):e0308503. doi: 10.1371/journal.pone.0308503. eCollection 2024.

DOI:10.1371/journal.pone.0308503
PMID:39264893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11392274/
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.

摘要

水资源承载能力(WRCC)是可持续区域发展的基础,也是核心竞争力的重要指标,其定量评估和比较是明确区域发展能力的关键环节。本研究综合考虑经济、社会、资源、环境和生态因素,基于压力-状态-响应(PSR)模型构建了 WRCC 评价指标体系,采用熵值法对各指标进行权重赋值,利用集对分析方法和障碍诊断模型对 2008-2020 年滇中城市群(UACY)的 WRCC 进行评价。结果表明,UACY 的 WRCC 综合发展在时间维度上呈现阶段性演变,承载能力从 2008 年到 2012 年呈下降趋势,2013 年至 2020 年整体呈波动上升发展趋势。在空间维度上,昆明的 WRCC 普遍较差,而红河和玉溪在水资源存储和保护能力方面具有最大优势。昆明的用水压力较高,但在产业结构和水资源开发利用率方面具有优势。通过障碍度诊断,WRCC 的主要障碍因素在城市(州)之间存在较大差异,但制约 WRCC 的主要子系统均为压力子系统。研究结果可为 UACY 相关水资源政策和合理水资源调度提供数据支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1135/11392274/90c5211e523c/pone.0308503.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1135/11392274/7efdb0ea68a1/pone.0308503.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1135/11392274/0579cb1a696b/pone.0308503.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1135/11392274/90c5211e523c/pone.0308503.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1135/11392274/7efdb0ea68a1/pone.0308503.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1135/11392274/0579cb1a696b/pone.0308503.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1135/11392274/90c5211e523c/pone.0308503.g003.jpg

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本文引用的文献

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A scenario analysis-based optimal management of water resources supply and demand balance: A case study of Chengdu, China.基于情景分析的水资源供需平衡优化管理:以中国成都为例。
PLoS One. 2022 May 16;17(5):e0267920. doi: 10.1371/journal.pone.0267920. eCollection 2022.
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