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基于地理探测器的江苏省城市人居环境适宜性时空变化研究
夏小园1, 陈颢明1,2,3, 郜晴2, 邵海燕2, 曹志洪4, 赵言文1
1.南京农业大学 资源与环境科学学院, 江苏 南京 210095;2.南京农业大学 园艺学院, 江苏 南京 210095;3.南京理工大学 环境与生物工程学院, 江苏 南京 210094;4.中国科学院 南京土壤研究所, 江苏 南京 210008
摘要:
[目的] 研究人居环境适宜性在时空尺度上的变化和驱动性因素,为城市建设和人居环境改善提供理论依据。[方法] 以江苏省为研究对象,构建由社会、经济、生态和建设环境4个维度组成的评价指标体系,采用熵值法、趋势分析法、地理探测器法等对2009,2013和2017年江苏省65个县域的人居环境适宜性进行定量评价研究。[结果] ①江苏省人居环境适宜性空间分异显著,总体呈现出“局部连片”,自南至北逐渐递减的空间分布特征。空间变化上,人居环境适宜性自南至北递减的空间分层显著度降低,中高水平、中水平和低水平地区连片分布趋势减弱。②2009,2013和2017年的江苏省人居环境适宜性的平均得分和变异系数分别为0.432,0.475,0.494和0.179,0.192,0.165。研究末期95.38%县域的人居环境适宜性得分上升,人居环境县级区域性差异减小。研究期间内,苏南地区各县域人居环境适宜性排名较稳定,苏中和苏北地区波动性显著。③地理探测研究表明,经济环境是江苏省人居环境适宜性演变的主要驱动力,社会和建设环境是关键动力,生态环境是次要动力。[结论] 未来江苏省应扩大经济规模,刺激消费水平,促进经济发展及均等化,并主要通过缓解老龄化危机,加强区域人口资源流动,降低工业污染物排放量,提高空气质量等方面加强人居环境建设。
关键词:  城市人居环境  适宜性  熵值法  江苏省  地理探测器
DOI:10.13961/j.cnki.stbctb.2020.03.042
分类号:F299;TU984;X821
基金项目:南京理工大学科研启动基金“高磷含量污泥生物炭的制备及其与微生物联合修复土壤中重金属Pb和Cd的机理研究”(AZ89991/197)
A Study on Temporal and Spatial Variations of Suitability of Urban Living Environment in Jiangsu Province Based on a Geographical Detector
Xia Xiaoyuan1, Chen Haoming1,2,3, Gao Qing2, Shao Haiyan2, Cao Zhihong4, Zhao Yanwen1
1.College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China;2.College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China;3.School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China;4.State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, China
Abstract:
[Objective] The changes and driving factors of the suitability of human settlement on the temporal and spatial scale were studied in order to provide theoretical basis for urban construction and improvement of living environment.[Methods] Jiangsu Province was selected as the research object. An evaluation index system composed of four dimensions:social, economic, ecological, and construction environment was constructed, and entropy, trend analysis, and geographical detector methods were used to quantitatively evaluate the suitability of living environment in 65 counties in Jiangsu Province in 2009, 2013, and 2017.[Results] ① The spatial differentiation of the suitability of human settlements in Jiangsu Province was significant, and was overall "locally contiguous" with a gradual decline from south to north. In terms of spatial change, the spatial stratification degree of the suitability of living environment declined significantly from south to north, and the trend of the contiguous distribution in the medium-high level, medium level, and low-level areas weakened. ② The average score and variation coefficient of the suitability of living environment in Jiangsu Province in 2009, 2013, and 2017 were 0.432, 0.475, 0.494 and 0.179, 0.192, 0.165, respectively. The score of suitability of living environment increased in 95.38% counties, and the regional difference in residential environment decreased at the end of the study. During the study period, the suitability of the living environment of the counties in Southern Jiangsu Province was relatively stable, while that of the counties in Middle and Northern Jiangsu Province fluctuated significantly. ③ Geographical exploration showed that the economic, social, and construction environment was the main driving factor behind the evolution of the suitability of living settlements in Jiangsu Province, while ecological environment was the secondary driving factor.[Conclusion] To improve the living environment, Jiangsu Province should expand the economic scale, stimulate the consumption level, promote the economic development and equalization. Meanwhile, the government should strengthen the construction of living environment by alleviating the aging crisis, strengthening the flow of regional population and resources, reducing the discharge of industrial pollutants, and improving the air quality.
Key words:  urban human settlements  suitability  entropy method  Jiangsu Province  geographical detector