江淮城市群资源环境承载力时序演化特征
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摘要
构建涵盖资源投入、绿化情况、环境效率、污染治理4个二级指标和12个三级指标的资源环境承载力评价指标体系,采用因子分析法测算江淮城市群"10+1"个城市2007—2016年资源环境承载力,对其时空特征进行分析。研究表明,2007—2016年江淮城市群资源环境承载力水平整体呈现波动上升的态势,马鞍山、芜湖、合肥、铜陵、淮南等城市资源环境承载力较强;空间分布上,江淮城市群南中北部城市资源环境承载力依次递减,东中西部城市资源环境承载力依次递减。
An evaluation index system of resource and environment carrying capacity covering four secondary indicators of resource input,afforestation, environmental efficiency, pollution control and twelve tertiary indicators was constructed. Factor analysis method was used to calculate the carrying capacity of resources and environment of "10+1" cities in Jianghuai urban agglomeration from 2007 to 2016, and the spatial and temporal characteristics will be discussed. The results show that the carrying capacity of resources and environment of Jianghuai urban agglomeration fluctuates and rises from 2007 to 2016. The carrying capacity of resources and environment of Maanshan, Wuhu, Hefei, Tongling and Huainan cities is relatively strong. Spatial distribution shows that the carrying capacity of resources and environment of the southern, central and northern cities of Jianghuai urban agglomeration decreases in turn, and the eastern, central and western cities decreases in turn.
An evaluation index system of resource and environment carrying capacity covering four secondary indicators of resource input,afforestation, environmental efficiency, pollution control and twelve tertiary indicators was constructed. Factor analysis method was used to calculate the carrying capacity of resources and environment of "10+1" cities in Jianghuai urban agglomeration from 2007 to 2016, and the spatial and temporal characteristics will be discussed. The results show that the carrying capacity of resources and environment of Jianghuai urban agglomeration fluctuates and rises from 2007 to 2016. The carrying capacity of resources and environment of Maanshan, Wuhu, Hefei, Tongling and Huainan cities is relatively strong. Spatial distribution shows that the carrying capacity of resources and environment of the southern, central and northern cities of Jianghuai urban agglomeration decreases in turn, and the eastern, central and western cities decreases in turn.
引文
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[2]FAO. Potential Population Supporting Capacities of Lands in Developing World[R]. Rome:Food and Agriculture Organization of the United Nations,1982.
[3]温亮,游珍,林裕梅,等.基于层次分析法的土地资源承载力评价——以宁国市为例[J].中国农业资源与区划,2017,38(3):1-6.
[4]施雅风,曲耀光.乌鲁木齐河流域水资源承载力及其合理利用.北京:科学出版社, 1992.
[5]吕一河,傅微,李婷,刘源鑫.区域资源环境综合承载力研究进展与展望[J].地理科学进展,2018,37(1):130-138.
[6]吕若曦,肖思思,董燕红,吴向阳.基于层次分析法的资源环境承载力评价研究——以镇江市为例[J].江苏农业科学,2018,46(9):268-272.
[7]张学良,杨朝远.论中国城市群资源环境承载力[J].学术月刊,2014,46(9):64-70.
[8]修丽娜.城市土地承载力分析——以天津滨海新区为例[J].安徽农业科学,2010,38(34):19657-19660.
[9]姚治华,王红旗,郝旭光.基于集对分析的地质环境承载力研究——以大庆市为例[J].环境科学与技术,2010,33(10):183-189.
[10]付云鹏,马树才.城市资源环境承载力及其评价——以中国15个副省级城市为例[J].城市问题,2016(2):36-40.
[11]吴良兴.大型煤矿矿区的资源环境承载力研究[D].西安:西北大学,2009.
[12]李强,高楠.长江经济带生态效率时空格局演化及影响因素研究[J].重庆大学学报(社会科学版),2018,24(3):29-37.
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