江淮生态大走廊城市化与生态环境耦合特征及其影响因素研究
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摘要
规划驱动下的城市化与生态环境耦合关系是区域协调发展的重要问题。针对江淮生态大走廊规划区,采用耦合协调模型和灰色分析方法,探讨了该区域城市化与生态环境的耦合特征及影响因素。结果表明:2012-2016年间,城市化与生态环境指数均为线性增加过程,且增幅较大。不同地区城市化指数变化过程较相似,同步性较好,但生态环境指数存在一定差异;城市化与生态环境耦合关系在区域上可划分为两类,其一为波动型耦合关系,包括淮安、宿迁和徐州3市,其二为平稳型耦合关系,包括扬州、泰州两市;江淮生态大走廊整体城市化与生态环境的耦合度与协调度都呈线性增加过程,除2013年外,其余年份都为高水平耦合阶段。2012和2013年为中、低协调发段,2014-2016年为高协调或极协调阶段;空间城市化、社会城市化和人口城市化方面的结构性指标是影响耦合关系的主要城市化因素,而水气环境是影响耦合关系高低的主要生态环境因素。
The coupling interaction and coordination between urbanization and ecological environment is a key issue for harmonious development in regional planning strategy. This paper uses the coupling interaction and coordination degree model and Grey Relevance Analysis to explore the evolution of urbanization and ecological environment and its influencing factors in the ecological corridor of Yangtze-Huai River( ECYHR). The results showed that: the urbanization and the ecological environment indices generally increased linearly between 2012 and 2016 with a relatively large amplitude. The urbanization indices between different cities had similar trend,but with different ecological environment indices. The five cities in the ECYHR can be divided into two types,one is characterize as fluctuation coupling relationship,which consists of Huaian,Suqian and Xuzhou; the other is featured to be stable coupling relationship,which consists of Yangzhou and Taizhou. The coupling degree between urbanization and ecological environment is in high coupling stage in studied five years except for 2013. The year of 2012 and 2013 are in the low-to-middle coupling coordination stage,and it changed into high coupling coordination stage ever from 2014 to 2016. The indices relevant to spatial,social and the demographic urbanization has larger weight in the factors of the urban system,and the indices relevant to the water and the atmospheric environments has larger weight in consideration of the factors in the aspect of the ecological environment system.
The coupling interaction and coordination between urbanization and ecological environment is a key issue for harmonious development in regional planning strategy. This paper uses the coupling interaction and coordination degree model and Grey Relevance Analysis to explore the evolution of urbanization and ecological environment and its influencing factors in the ecological corridor of Yangtze-Huai River( ECYHR). The results showed that: the urbanization and the ecological environment indices generally increased linearly between 2012 and 2016 with a relatively large amplitude. The urbanization indices between different cities had similar trend,but with different ecological environment indices. The five cities in the ECYHR can be divided into two types,one is characterize as fluctuation coupling relationship,which consists of Huaian,Suqian and Xuzhou; the other is featured to be stable coupling relationship,which consists of Yangzhou and Taizhou. The coupling degree between urbanization and ecological environment is in high coupling stage in studied five years except for 2013. The year of 2012 and 2013 are in the low-to-middle coupling coordination stage,and it changed into high coupling coordination stage ever from 2014 to 2016. The indices relevant to spatial,social and the demographic urbanization has larger weight in the factors of the urban system,and the indices relevant to the water and the atmospheric environments has larger weight in consideration of the factors in the aspect of the ecological environment system.
引文
[1]方创琳,鲍超,乔标.城市化过程与城市生态环境效应[M].北京:科学出版社,2008.
[2]邓鹏,陈菁,陈丹,等.区域水-能源-粮食耦合协调演化特征研究———以江苏省为例[J].水资源与水工程学报,2017,28(6):232-238.
[3]张引,杨庆媛,闵婕.重庆市新型城镇化质量与生态环境承载力耦合分析[J].地理学报,2016,71(5):817-828.
[4]张荣天,焦华富.中国省际城镇化与生态环境的耦合协调与优化探讨[J].干旱区资源与环境,2015,29(7):12-17.
[5]王少剑,方创琳,王洋.京津冀地区城市化与生态环境交互耦合关系定量测度[J].生态学报,2015,35(7):2244-2254.
[6]刘耀彬,宋学锋.城市化与生态环境耦合模式及判别[J].地理科学,2005,25(4):408-414.
[7]王飞,李景保,陈晓,等.皖江城市带城市化与水资源环境耦合的时空变异分析[J].水资源与水工程学报,2017,28(1):1-6.
[8]崔木花.中原城市群9市城镇化与生态环境耦合协调关系[J].经济地理,2015,35(7):72-78.
[9] FANG Chuanglin,WANG Jing. A theoretical analysis of interactive coercing effects between urbanization and ecoenvironment[J]. Chinese Geographical Science,2013,23(2):147-162.
[10]陈晓红,万鲁河,周嘉.城市化与生态环境协调发展的调控机制研究[J].经济地理,2011,31(3):489-492.
[11]夏伟,周维博,李文溢,等.水资源效益与城乡供水一体化发展耦合效应分析———以洛川县为例[J].水资源与水工程学报,2018,29(3):39-44.
[12]杨清可,段学军,李平星,等.江苏省土地开发度与利用效益的空间特征及协调分析[J].地理科学,2017,37(11):1696-1704.
[13]黄木易,程志光.区域城市化与社会经济耦合协调发展度的时空特征分析:以安徽省为例[J].经济地理,2012,32(2):77-81.
[14]廖重斌.环境与经济协调发展的定量评判及其分类体系———以珠江三角洲城市群为例[J].热带地理,1999,19(2):76-82.
[15]张家其,吴宜进,葛咏,等.基于灰色关联模型的贫困地区生态安全综合评价———以恩施贫困地区为例[J].地理研究,2014,33(8):1457-1466.
[16]王宾,杨琛,李群.基于熵权扰动属性模型的新型城镇化质量研究[J].系统工程理论与实践,2017,37(12):3137-3145.
[17]杜挺,谢贤健,梁海艳,等.基于熵权TOPSIS和GIS的重庆市县域经济综合评价及空间分析[J].经济地理,2014,34(6):40-47.
[2]邓鹏,陈菁,陈丹,等.区域水-能源-粮食耦合协调演化特征研究———以江苏省为例[J].水资源与水工程学报,2017,28(6):232-238.
[3]张引,杨庆媛,闵婕.重庆市新型城镇化质量与生态环境承载力耦合分析[J].地理学报,2016,71(5):817-828.
[4]张荣天,焦华富.中国省际城镇化与生态环境的耦合协调与优化探讨[J].干旱区资源与环境,2015,29(7):12-17.
[5]王少剑,方创琳,王洋.京津冀地区城市化与生态环境交互耦合关系定量测度[J].生态学报,2015,35(7):2244-2254.
[6]刘耀彬,宋学锋.城市化与生态环境耦合模式及判别[J].地理科学,2005,25(4):408-414.
[7]王飞,李景保,陈晓,等.皖江城市带城市化与水资源环境耦合的时空变异分析[J].水资源与水工程学报,2017,28(1):1-6.
[8]崔木花.中原城市群9市城镇化与生态环境耦合协调关系[J].经济地理,2015,35(7):72-78.
[9] FANG Chuanglin,WANG Jing. A theoretical analysis of interactive coercing effects between urbanization and ecoenvironment[J]. Chinese Geographical Science,2013,23(2):147-162.
[10]陈晓红,万鲁河,周嘉.城市化与生态环境协调发展的调控机制研究[J].经济地理,2011,31(3):489-492.
[11]夏伟,周维博,李文溢,等.水资源效益与城乡供水一体化发展耦合效应分析———以洛川县为例[J].水资源与水工程学报,2018,29(3):39-44.
[12]杨清可,段学军,李平星,等.江苏省土地开发度与利用效益的空间特征及协调分析[J].地理科学,2017,37(11):1696-1704.
[13]黄木易,程志光.区域城市化与社会经济耦合协调发展度的时空特征分析:以安徽省为例[J].经济地理,2012,32(2):77-81.
[14]廖重斌.环境与经济协调发展的定量评判及其分类体系———以珠江三角洲城市群为例[J].热带地理,1999,19(2):76-82.
[15]张家其,吴宜进,葛咏,等.基于灰色关联模型的贫困地区生态安全综合评价———以恩施贫困地区为例[J].地理研究,2014,33(8):1457-1466.
[16]王宾,杨琛,李群.基于熵权扰动属性模型的新型城镇化质量研究[J].系统工程理论与实践,2017,37(12):3137-3145.
[17]杜挺,谢贤健,梁海艳,等.基于熵权TOPSIS和GIS的重庆市县域经济综合评价及空间分析[J].经济地理,2014,34(6):40-47.