基于DPSIR模型的涪陵区土地生态安全评价研究
摘要
研究基于DPSIR模型构建涪陵区土地生态安全评价指标体系,运用熵权综合指数评价模型对2010—2015年涪陵区的土地生态安全状况进行评价。结果表明:2010—2015年,涪陵区土地生态安全总体呈现先下降后上升的趋势。2010—2013年土地生态安全状况有所恶化,土地生态安全等级由"临界级"向"敏感级";2013—2015年土地生态安全状况有所改善,土地安全等级处于"临界级"。研究结果以期为涪陵区土地生态安全相关问题的解决提供依据。
Based on DPSIR model, the evaluation system of land ecological security is constructed in chongqing. The entropy weight comprehensive index evaluation model is used to evaluate the land ecological security status of Fuling District from 2010 to 2015.The results show that:From 2010 to 2015,The land ecological security of Fuling shows a rising trend after an initial dcline.the land ecological security has deteriorated and it changes from "critical level" to "sensitive level" from 2010 to 2013;The land ecological security situation has improved from 2013 to 2015,and its safety level varied around the "sensitive level".The research results are intended to provide a basis for solving the problems related to land ecological security of Fuling city.
Based on DPSIR model, the evaluation system of land ecological security is constructed in chongqing. The entropy weight comprehensive index evaluation model is used to evaluate the land ecological security status of Fuling District from 2010 to 2015.The results show that:From 2010 to 2015,The land ecological security of Fuling shows a rising trend after an initial dcline.the land ecological security has deteriorated and it changes from "critical level" to "sensitive level" from 2010 to 2013;The land ecological security situation has improved from 2013 to 2015,and its safety level varied around the "sensitive level".The research results are intended to provide a basis for solving the problems related to land ecological security of Fuling city.
引文
[1]朱晓伟,平宗莉,陈翠华.基于文献计量的中国土地生态安全评价研究进展[J].资源开发与市场,2016,32(11):1297-1301,1318.
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[5]王鹏,王亚娟,刘小鹏,等.基于P S R模型的青铜峡市土地生态安全评价与预测[J].水土保持通报,2018,38(2):148-153,159.
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[8]卢涛,王占岐,魏超,等.基于DPSIR模型的合肥市土地生态安全物元分析评价[J].水土保持研究,2015,22(4):222-227.
[9]马志昂,盖艾鸿,程久苗.基于BP人工神经网络的区域土地生态安全评价研究——以安徽省为例[J].中国农学通报,2014,30(23):289-295.
[2]徐梅,朱翔,李静芝.基于DPSIR-TOPSIS模型的湖南省土地生态安全评价[J].冰川动土,2012,34(5):1265-1266.
[3]张新荣,刘林萍,方石,等.土地利用、覆被变化(LUCC)与环境变化关系研究进展[J].生态环境学报,2014,23(12):2013-2021.
[4]沈萍.江苏省土地生态安全预警演变与空间格局分析[J].中国农业资源与区划,2018,39(6):87-92.
[5]王鹏,王亚娟,刘小鹏,等.基于P S R模型的青铜峡市土地生态安全评价与预测[J].水土保持通报,2018,38(2):148-153,159.
[6]柳思,张军,田丰,等.2005—2014年疏勒河流域土地生态安全评价[J].生态科学,2018,37(3):114-122.
[7]王鹏,况福民,邓育武,等.基于主成分分析的衡阳市土地生态安全评价[J].经济地理,2015,35(1):168-172.
[8]卢涛,王占岐,魏超,等.基于DPSIR模型的合肥市土地生态安全物元分析评价[J].水土保持研究,2015,22(4):222-227.
[9]马志昂,盖艾鸿,程久苗.基于BP人工神经网络的区域土地生态安全评价研究——以安徽省为例[J].中国农学通报,2014,30(23):289-295.