延安市人-环境耦合系统脆弱性评价及其影响因素

Guowei Nan, Lei Han, Yueyue Wang
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引用次数: 1

摘要

摘要将自然、经济、社会、资源等因素纳入VSD模型框架,采用脆弱性和障碍度模型分析延安市人-环境耦合系统的时空演变及其影响因素。结果表明:(1)2000 - 2014年延安市人-环境耦合系统总体脆弱性介于0.2589 ~ 17.0180之间,西北和东北区县脆弱性指数较高,中部和南部区县脆弱性指数较低;(2) 2000 - 2014年研究区暴露度(0.1516 ~ 0.2255)、敏感性(0.2235 ~ 0.3093)、适应能力(0.6588 ~ 0.8865)和脆弱性(0.7502 ~ 0.7949)的空间变异性呈下降趋势。各时期暴露度和敏感性的空间变异性均为中等,而适应能力和脆弱性的空间变异性较强。(3)研究区影响脆弱性的障碍存在显著差异。经济结构不合理、生态环境脆弱、经济社会发展水平低下和生产效率低下是影响人-环境耦合系统可持续性的主导因素,如何调整经济结构和改善生态环境是资源型城市可持续发展的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing vulnerability of coupled human–environment systems and its influence factors in Yan'an City, China
Abstract The natural, economic, social, resource and other factors were incorporated into the framework of VSD model, and vulnerability and obstacle degree models were used to analyze the spatio-temporal evolution and influencing factors of coupled human–environment system in Yan'an City. The results show that: (1) The overall vulnerability of coupled human–environment systems in Yan'an city from 2000 to 2014 is between 0.2589 and 17.0180, the vulnerability index values of counties in the northwest and northeast are higher, while those in the central and southern regions are lower. (2) The spatial variability in exposure (0.1516–0.2255), sensitivity (0.2235–0.3093), adaptive capacity (0.6588–0.8865) and vulnerability (0.7502–0.7949) in the study area from 2000 to 2014 showed a downward trend. The spatial variability in exposure and sensitivity in each period was moderate, while adaptive capacity and vulnerability displayed strong variability. (3) There are significant differences in the obstacles affecting vulnerability in the study area. Unreasonable economic structure, fragile ecological environment, low level of economic and social development and low efficiency of production are the leading factors affecting the sustainability of coupled human–environment system, which means that how to adjust the economic structure and improve the ecological environment is the key to the sustainable development of resource-based cities.
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