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基于PSR模型的新疆水资源经济生态韧性时空差异及影响因素分析

孙宇 刘维忠 盛洋

干旱区地理2023,Vol.46Issue(12):2017-2028,12.
干旱区地理2023,Vol.46Issue(12):2017-2028,12.DOI:10.12118/j.issn.1000-6060.2023.155

基于PSR模型的新疆水资源经济生态韧性时空差异及影响因素分析

Spatiotemporal differences and influencing factors of economic and ecological resilience of water resources in Xinjiang based on the PSR model

孙宇 1刘维忠 1盛洋1

作者信息

  • 1. 新疆农业大学经济管理学院,新疆 乌鲁木齐 830052
  • 折叠

摘要

Abstract

This study employs the entropy weight method to determine index weights,utilizing the comprehen-sive evaluation method and kernel density to assess the spatial and temporal distribution characteristics of pres-sure-state-response resilience in 14 prefectures within the Xinjiang arid zone of China.In addition,geographic de-tectors are used to analyze the main influencing factors and factor interactions affecting the economic and ecologi-cal resilience of water.The findings reveal the following trends:(1)Stress resilience evaluation indices for Xinji-ang prefectures generally decline from 2010 to 2020.Specifically,Kizilsu Kirgiz Autonomous Prefecture experi-ences a shift from high resilience to moderate resilience.Conversely,state resilience,response resilience,and comprehensive resilience exhibit an increasing trend,reflecting an overall improvement in resilience levels.(2)The spatial distribution of pressure-state-response resilience kernel density across all Xinjiang prefectures from 2010 to 2020 displays a staggered pattern,with higher values concentrated in the southwest compared to the northeast.Analyzing the three dimensions reveals a concentrated distribution of high-pressure resilience kernel density mov-ing from the southwest to the central region.Meanwhile,high state resilience and response resilience kernel densi-ties progress from the northeast to the southwest,displaying a more dispersed distribution.Toward the end of the study period,comprehensive resilience,state resilience,and response resilience kernel densities exhibit a decreas-ing trend,while spatial differences in pressure resilience kernel densities become more pronounced.(3)The influence of industrial structure,GDP per capita,and ecological self-purification capacity on water resources'economic and ecological resilience has intensified,while the impact of man-made disasters and other factors has weakened.Interactions among industrial structure,ecological self-cleaning capacity,and retail sales of social consumer goods are more influential than individual factors in shaping system resilience.Notably,the number of nonlinear enhancement relationships in factor pairs surpasses the number of two-factor enhancements.

关键词

PSR模型/核密度/地理探测法/新疆

Key words

PSR model/kernel density/geographic exploration method/Xinjiang

引用本文复制引用

孙宇,刘维忠,盛洋..基于PSR模型的新疆水资源经济生态韧性时空差异及影响因素分析[J].干旱区地理,2023,46(12):2017-2028,12.

基金项目

国家社会科学基金项目(18BJY166)资助 (18BJY166)

干旱区地理

OA北大核心CSCDCSTPCD

1000-6060

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