摘要
选取武陵山片区作为研究对象,从经济建设水平、生态发展水平、社会服务与保障、居民生活和文化环境4个方面选取了22项指标构建武陵山片区生态宜居水平评价指标体系,借助熵权法和TOPSIS模型,结合ArcGIS进行可视化分析,探究2013—2021年武陵山片区生态宜居水平在时间和空间上的演变规律,并利用障碍因子诊断模型剖析其主要障碍因子。结果表明,2013—2021年,武陵山片区生态宜居水平呈先降后升再降的动态变化趋势,其中,恩施州、黔江区和铜仁市的生态宜居水平呈上升趋势,怀化市、湘西州的生态宜居水平随时间呈“V”形变化,总体呈下降趋势,张家界市生态宜居水平持续下降;区域生态宜居水平在东部和中南部呈下降趋势,高生态宜居水平集中区由2013年的东部转移至2021年的西北部。从障碍因子分析上来看,武陵山片区生态宜居水平的一级指标障碍度由大到小依次为经济建设水平、居民生活和文化环境、社会服务与保障、生态发展水平;5个主要障碍因子分别为人均地方财政一般预算收入、每万人学校数、每万人公路里程、人均固定资产投资总量、第三产业占国内生产总值比重。
Wuling Mountain area was selected as the research object,and 22 indicators were selected to construct the evaluation index system of the ecological livability level of Wuling Mountain area from the four aspects of economic construction level,ecological devel-opment level,social service and security,residents’life and cultural environment.The spatial-temporal evolution law of ecological livability level in Wuling Mountain area from 2013 to 2021 was explored by the entropy weight method and TOPSIS model,combined with ArcGIS for visual analysis.In addition,the main obstacle factors were analyzed by the obstacle factor diagnosis model.The results showed that,from 2013 to 2021,the ecological livability level of Wuling Mountain area showed a dynamic change trend of first de-creasing,then increasing and decreasing again.Among them,the ecological livability level of Enshi Prefecture,Qianjiang District and Tongren City showed an upward trend;the ecological livability level of Huaihua City and Xiangxi Prefecture showed a“V”curve change with time,and the overall trend was downward;the ecological livability level of Zhangjiajie City continued to decline.The re-gional ecological livability level showed a downward trend in the east and central-southern regions,and the concentrated areas with high ecological livability level shifted from the east in 2013 to the northwest in 2021.From the perspective of obstacle factor analysis,the obstacle degree of the first-level index of ecological livability level in Wuling Mountain area from large to small was economic con-struction level,residents’life and cultural environment,social service and security,and ecological development level.The five main obstacle factors were per capita local fiscal general budget revenue,number of schools per 10000 people,highway mileage per 10000 people,total fixed asset investment per capita,and the proportion of the tertiary industry in GDP.
作者
邓明蓉
贺碧湖
张和利
朱深海
DENG Ming-rong;HE Bi-hu;ZHANG He-i;ZHU Shen-hai(School of Civil Engineering and Architecture,Jishou University,Jishou 416000,Hunan,China;Yongxing County Natural Resources Bureau,Yongxing 423000,Hunan,China)
出处
《湖北农业科学》
2024年第7期36-47,212,共13页
Hubei Agricultural Sciences
基金
国家自然科学基金项目(32060238)。
