正态云模型在皖江地区土地生态安全评价中的应用
摘要
为了对皖江地区土地生态安全程度进行综合评价,解决土地生态安全评价中模糊性和随机性共存的问题,将正态云模型应用于皖江地区土地安全评价研究中。选取人口密度、人均耕地面积、单位面积耕地农药负荷、人均水资源量等17个指标,构建皖江地区土地生态安全指标体系,采用熵值法对各指标赋权,利用正态云模型的3个数学特征定量刻画各指标条件下的待评价城市的土地安全等级,借助云隶属度描述评价等级的模糊性,采用超熵概念刻画隶属度本身存在的随机性,最后通过集成变换,得到皖江地区9个市的土地生态安全等级。基于正态云模型综合评价的结果表明:皖江地区土地生态安全程度整体上属于中等偏上,其中滁州、合肥、宣城处于安全级,只有马鞍山处于极不安全级。
In order to evaluate land eco-security of nine cities in Wanjiang district, a comprehensive assessment method on the normal cloud model is suggested. Firstly, assessment index system is constructed, and land eco-security grade is described through single index for each districts. Secondly, each index weight is calculated by entropy weight method, and each eco-security grade evaluated by corresponding indexes is described using three mathematical characteristics of the normal cloud model. Thirdly, according to each assessment index, matrix of membership cloud model for each grade is determined using positive cloud generator, then, the fuzzy transformation subset is obtained based on the weights and membership degree matrix. Finally, the biggest membership degree is chosen as the result of comprehensive evaluation, and all results are compared with that of by entropy weight and matter element model. The results show that the land eco-security of Chuzhou, Hefei, Xuancheng are in safe grade, Wuhu, Tongling, Chaohu in relative safe grade, Anqing in critical safe grade, Chizhou in less safe grade, and Ma'anshan in high safe grade. Therefore, the land eco-security grade of nine cities in Wanjiang district belongs to the average level on the whole, which is most consistent with the result assessed by matter element model.
In order to evaluate land eco-security of nine cities in Wanjiang district, a comprehensive assessment method on the normal cloud model is suggested. Firstly, assessment index system is constructed, and land eco-security grade is described through single index for each districts. Secondly, each index weight is calculated by entropy weight method, and each eco-security grade evaluated by corresponding indexes is described using three mathematical characteristics of the normal cloud model. Thirdly, according to each assessment index, matrix of membership cloud model for each grade is determined using positive cloud generator, then, the fuzzy transformation subset is obtained based on the weights and membership degree matrix. Finally, the biggest membership degree is chosen as the result of comprehensive evaluation, and all results are compared with that of by entropy weight and matter element model. The results show that the land eco-security of Chuzhou, Hefei, Xuancheng are in safe grade, Wuhu, Tongling, Chaohu in relative safe grade, Anqing in critical safe grade, Chizhou in less safe grade, and Ma'anshan in high safe grade. Therefore, the land eco-security grade of nine cities in Wanjiang district belongs to the average level on the whole, which is most consistent with the result assessed by matter element model.
引文
[1]雷国平,代路,宋戈.黑龙江省典型黑土区土壤生态环境质量评价[J].农业工程学报,2009,25(7):243–248.
[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]陶晓燕.基于模糊物元和熵权法的土地生态安全评价[J].统计与决策,2012,354(6):55–57.
[4]陈志凡,李勤奋,赵烨.基于熵权的模糊物元模型在农用地土壤健康评价中的应用[J].中国土地科学,2008,22(11):31–37.
[5]张虹波,刘黎明,张军连,等.区域土地资源生态安全评价的物元模型构建及应用[J].浙江大学学报:农业与生命科学版,2007,33(2):222–229.
[6]黄辉玲,罗文斌,吴次芳,等.基于物元分析的土地生态安全评价[J].农业工程学报,2010,26(3):316–322.
[7]Gong Jianzhou,Liu Yansui,Chen Wenli.Land suitability evaluation for development using a matter-element model:A case study in Zengcheng,Guangzhou,China[J].Land Use Policy,2012,29(2):464–472.
[8]韩美,高桂琴.山东省枣庄市中区土地资源生态安全评价[J].中国生态农业学报,2007,15(3):161–164.
[9]张军以,苏维词,张凤太.基于PSR模型的三峡库区生态经济区土地生态安全评价[J].中国环境科学,2011,31(6):1039–1044.
[10]邸凯昌,李德仁,李德毅.云理论及其在空间数据挖掘和知识发现中的应用[J].中国图像图形报,1999,4(11):929–935.
[11]王坚强,刘淘.基于综合云的不确定语言多准则群决策方法[J].控制与决策,2012,27(8):1185–1190.
[12]李万臣,田淑娟.一种新的熵的提取方法在图像分割中的应用[J].应用科技,2013,40(5):48–50.
[13]龚艳冰,张继国.基于正态云模型和熵权的人口发展现代化程度综合评价[J].中国人口资源与环境,2012,22(1):138–143.
[14]陶建格.云模型在环境经济问题研究中的应用综述[J].科技与经济,2013,26(2):107–110.
[15]董春游,孟婧.基于云模型和D–S理论的煤矿安全管理评价方法[J].黑龙江科技学院学报,2013,23(5):497–501.
[16]胡石元,李德仁,刘耀林,等.基于云模型和关联度分析法的土地评价因素权重挖掘[J].武汉大学学报:信息科学版,2006,31(5):423–427.
[17]王明舒,朱明.利用云模型评价开发区的土地集约利用状况[J].农业工程学报,2012,28(10):247–252.
[18]Hu S Y,Li D R,Liu Y L,et al.Mining weights of land evaluation factors based on cloud model and correlation analysis[J].Geo-spatial Information Science,2007,10(3):218–222.
[19]胡石元,李德仁,刘耀林.一种新的基于云模型的宗地地价评估方法[J].武汉大学学报:信息科学版,2008,33(9):982–985.
[20]张杨,严金明,江平,等.基于正态云模型的湖北省土地资源生态安全评价[J].农业工程学报,2013,29(22):252–258.
[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]陶晓燕.基于模糊物元和熵权法的土地生态安全评价[J].统计与决策,2012,354(6):55–57.
[4]陈志凡,李勤奋,赵烨.基于熵权的模糊物元模型在农用地土壤健康评价中的应用[J].中国土地科学,2008,22(11):31–37.
[5]张虹波,刘黎明,张军连,等.区域土地资源生态安全评价的物元模型构建及应用[J].浙江大学学报:农业与生命科学版,2007,33(2):222–229.
[6]黄辉玲,罗文斌,吴次芳,等.基于物元分析的土地生态安全评价[J].农业工程学报,2010,26(3):316–322.
[7]Gong Jianzhou,Liu Yansui,Chen Wenli.Land suitability evaluation for development using a matter-element model:A case study in Zengcheng,Guangzhou,China[J].Land Use Policy,2012,29(2):464–472.
[8]韩美,高桂琴.山东省枣庄市中区土地资源生态安全评价[J].中国生态农业学报,2007,15(3):161–164.
[9]张军以,苏维词,张凤太.基于PSR模型的三峡库区生态经济区土地生态安全评价[J].中国环境科学,2011,31(6):1039–1044.
[10]邸凯昌,李德仁,李德毅.云理论及其在空间数据挖掘和知识发现中的应用[J].中国图像图形报,1999,4(11):929–935.
[11]王坚强,刘淘.基于综合云的不确定语言多准则群决策方法[J].控制与决策,2012,27(8):1185–1190.
[12]李万臣,田淑娟.一种新的熵的提取方法在图像分割中的应用[J].应用科技,2013,40(5):48–50.
[13]龚艳冰,张继国.基于正态云模型和熵权的人口发展现代化程度综合评价[J].中国人口资源与环境,2012,22(1):138–143.
[14]陶建格.云模型在环境经济问题研究中的应用综述[J].科技与经济,2013,26(2):107–110.
[15]董春游,孟婧.基于云模型和D–S理论的煤矿安全管理评价方法[J].黑龙江科技学院学报,2013,23(5):497–501.
[16]胡石元,李德仁,刘耀林,等.基于云模型和关联度分析法的土地评价因素权重挖掘[J].武汉大学学报:信息科学版,2006,31(5):423–427.
[17]王明舒,朱明.利用云模型评价开发区的土地集约利用状况[J].农业工程学报,2012,28(10):247–252.
[18]Hu S Y,Li D R,Liu Y L,et al.Mining weights of land evaluation factors based on cloud model and correlation analysis[J].Geo-spatial Information Science,2007,10(3):218–222.
[19]胡石元,李德仁,刘耀林.一种新的基于云模型的宗地地价评估方法[J].武汉大学学报:信息科学版,2008,33(9):982–985.
[20]张杨,严金明,江平,等.基于正态云模型的湖北省土地资源生态安全评价[J].农业工程学报,2013,29(22):252–258.
目录
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |