基于三角模型的关中5市土地生态安全区域差异分析
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摘要
选取关中平原5市为研究区,根据其土地资源利用现状和经济发展特点,以2009、2012和2015年《陕西统计年鉴》《中国城市统计年鉴》为基础数据,从经济可行性、社会可接受性和资源环境合理性三方面选取16项评价指标,进行标准化处理,运用熵权法确定权重,构建土地生态安全评价指标体系,计算综合指数。运用Grapher软件从3个时间断面构建三角模型,对关中平原5市土地生态安全进行现状和趋势分析。结果表明:三角模型能够客观清晰地反映其现状和变化趋势;关中平原五市总体呈现出经济可行性指数和资源环境合理性指数不断增加,社会可接受性指数降低;土地生态安全状态向较好的方向发展,西安市由弱安全转向一般安全,其余4市由不安全转向弱安全;区域内部发展不均衡,西安市与其余4市差距不断加大。
Taking five cities of Guanzhong Plain as the research area according to the present situation of the land resources and the characteristics of economic development,based on Shanxi Statistical Yearbook and China City Statistical Yearbook in 2009,2012 and 2015,selected 16 indexes to build land ecological security evaluation index system from the economic feasibility,social acceptability and resource environment rationality through standardizing,determine the weight,and calculating comprehensive index by some mathematical formulas. Building a triangle mode by the software of Grapher from three years to analyze land ecological security status and trend on the Guanzhong Plain. The results showed that: The triangle model could objectively reflect its present situation and the trend clearly; It presented the economic feasibility and rationality resources environment index increased,and social acceptability decreased; The land ecological security status development to the great direction,Xi'an form weak security to general safety,and the rest of the 4 cities from unsafe to weak security; The regional internal development uneven,there was a great gap in Xi'an and other 4 cities.
Taking five cities of Guanzhong Plain as the research area according to the present situation of the land resources and the characteristics of economic development,based on Shanxi Statistical Yearbook and China City Statistical Yearbook in 2009,2012 and 2015,selected 16 indexes to build land ecological security evaluation index system from the economic feasibility,social acceptability and resource environment rationality through standardizing,determine the weight,and calculating comprehensive index by some mathematical formulas. Building a triangle mode by the software of Grapher from three years to analyze land ecological security status and trend on the Guanzhong Plain. The results showed that: The triangle model could objectively reflect its present situation and the trend clearly; It presented the economic feasibility and rationality resources environment index increased,and social acceptability decreased; The land ecological security status development to the great direction,Xi'an form weak security to general safety,and the rest of the 4 cities from unsafe to weak security; The regional internal development uneven,there was a great gap in Xi'an and other 4 cities.
引文
[1]黄木易,何翔.基于云模型与熵权法的安徽省土地生态安全评价研究[J].土壤,2016,48(5):1049-1054.
[2]余健,房莉,仓定帮,等.熵权模糊物元模型在土地生态安全评价中的应用[J].农业工程学报,2012,28(5):260-266.
[3]李昊,李世平,银敏华.中国土地生态安全研究进展与展望[J].干旱区资源与环境,2016,30(9):50-56.
[4]XU F L,ZHAO S S,RICHARD W D,et al.A triangle model for evaluating the sustainability status and trends of economic development[J].Ecological modeling,2006,195(3/4):327-337.
[5]马泉,任晓娟.基于生态价值优先的土地适宜性评价:以银川市七子连湖湿地公园为例[J].安徽农业科学,2016,44(3):239-242,262.
[6]谢花林.土地利用生态安全格局研究进展[J].生态学报,2008,28(12):6305-6310.
[7]张锐,郑华伟,刘友兆.基于PSR模型的耕地生态安全物元分析评价[J].生态学报,2013,33(16):5090-5100.
[8]张松男,雷国平,李秀霞,等.基于P-S-R模型的城市生态安全模糊物元评价:以吉林省四平市为例[J].水土保持研究,2013,20(2):170-175.
[9]裴婷婷,陈英,赵亚南,等.基于P-S-R模型的白银市土地生态安全评价[J].中国农学通报,2014,30(2):215-221.
[10]杜忠潮,韩申山.基于主成分分析的土地生态安全评价实证研究:以陕西省10个省辖市为例[J].水土保持通报,2009,29(6):198-202.
[11]王月英,王雯.关中城市群县域层面经济紧凑度分析[J].城市发展研究,2016,23(8):22-28.
[12]陕西省统计局.陕西统计年鉴[M].北京:中国统计出版社,2009.
[13]国家统计局城市社会经济调查司.中国城市统计年鉴[M].北京:中国统计出版社,2009.
[14]黄辉玲,罗文斌,吴次芳,等.基于物元分析的土地生态评价[J].农业工程学报,2010,26(3):316-322.
[15]李佳,雷国平,崔明哲,等.基于三角模型的矿业城市土地利用可持续性评价[J].水土保持研究,2012,19(5):196-201.
[16]WANG R S,HU D,LI F,et al.Integrative ecological management for regional urbanization[M].Beijing:China Meteorological Press,2010:111-119.
[17]石建华,喻理飞,孙保平.陕北地区退耕还林生态健康评价分析研究:以吴起县为例[J].水土保持学报,2015,29(6):332-336.
[18]罗文斌,吴次芳,吴一洲.城市土地生态水平物元分析评价:以山东省滨州市为例[J].生态学报,2009,29(7):3818-3827.
[19]张小虎,牛海鹏,郭增长.基于三角模型的城市土地生态安全区域差异分析:以河南省为例[J].自然灾害学报,2014,23(2):21-30.
[20]李明月,赖笑娟.基于BP神经网络方法的城市土地生态安全评价:以广州市为例[J].经济地理,2011,31(2):289-293.
[2]余健,房莉,仓定帮,等.熵权模糊物元模型在土地生态安全评价中的应用[J].农业工程学报,2012,28(5):260-266.
[3]李昊,李世平,银敏华.中国土地生态安全研究进展与展望[J].干旱区资源与环境,2016,30(9):50-56.
[4]XU F L,ZHAO S S,RICHARD W D,et al.A triangle model for evaluating the sustainability status and trends of economic development[J].Ecological modeling,2006,195(3/4):327-337.
[5]马泉,任晓娟.基于生态价值优先的土地适宜性评价:以银川市七子连湖湿地公园为例[J].安徽农业科学,2016,44(3):239-242,262.
[6]谢花林.土地利用生态安全格局研究进展[J].生态学报,2008,28(12):6305-6310.
[7]张锐,郑华伟,刘友兆.基于PSR模型的耕地生态安全物元分析评价[J].生态学报,2013,33(16):5090-5100.
[8]张松男,雷国平,李秀霞,等.基于P-S-R模型的城市生态安全模糊物元评价:以吉林省四平市为例[J].水土保持研究,2013,20(2):170-175.
[9]裴婷婷,陈英,赵亚南,等.基于P-S-R模型的白银市土地生态安全评价[J].中国农学通报,2014,30(2):215-221.
[10]杜忠潮,韩申山.基于主成分分析的土地生态安全评价实证研究:以陕西省10个省辖市为例[J].水土保持通报,2009,29(6):198-202.
[11]王月英,王雯.关中城市群县域层面经济紧凑度分析[J].城市发展研究,2016,23(8):22-28.
[12]陕西省统计局.陕西统计年鉴[M].北京:中国统计出版社,2009.
[13]国家统计局城市社会经济调查司.中国城市统计年鉴[M].北京:中国统计出版社,2009.
[14]黄辉玲,罗文斌,吴次芳,等.基于物元分析的土地生态评价[J].农业工程学报,2010,26(3):316-322.
[15]李佳,雷国平,崔明哲,等.基于三角模型的矿业城市土地利用可持续性评价[J].水土保持研究,2012,19(5):196-201.
[16]WANG R S,HU D,LI F,et al.Integrative ecological management for regional urbanization[M].Beijing:China Meteorological Press,2010:111-119.
[17]石建华,喻理飞,孙保平.陕北地区退耕还林生态健康评价分析研究:以吴起县为例[J].水土保持学报,2015,29(6):332-336.
[18]罗文斌,吴次芳,吴一洲.城市土地生态水平物元分析评价:以山东省滨州市为例[J].生态学报,2009,29(7):3818-3827.
[19]张小虎,牛海鹏,郭增长.基于三角模型的城市土地生态安全区域差异分析:以河南省为例[J].自然灾害学报,2014,23(2):21-30.
[20]李明月,赖笑娟.基于BP神经网络方法的城市土地生态安全评价:以广州市为例[J].经济地理,2011,31(2):289-293.