安徽理工大学 经济与管理学院,安徽,淮南,232001
纸质出版:2018
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何刚, 夏业领, 朱艳娜, 等. 基于DPSIR-TOPSIS模型的安徽省土地承载力评价及预测[J]. 水土保持通报, 2018,38(2):127-134.
HE Gang, XIA Yeling, ZHU Yanna, et al. Evaluation and Prediction of Land Carrying Capacity in Anhui Province Based on DPSIR-TOPSIS Model[J]. Bulletin of Soiland Water Conservation, 2018, 38(2): 127-134.
何刚, 夏业领, 朱艳娜, 等. 基于DPSIR-TOPSIS模型的安徽省土地承载力评价及预测[J]. 水土保持通报, 2018,38(2):127-134. DOI: 10.13961/j.cnki.stbctb.20180309.001.
HE Gang, XIA Yeling, ZHU Yanna, et al. Evaluation and Prediction of Land Carrying Capacity in Anhui Province Based on DPSIR-TOPSIS Model[J]. Bulletin of Soiland Water Conservation, 2018, 38(2): 127-134. DOI: 10.13961/j.cnki.stbctb.20180309.001.
[目的]定量评价和预测土地承载力状况并诊断其障碍因子,为提高安徽省土地承载力提供科学依据,也为区域土地承载力评价研究提供新思路。[方法]基于DPSIR模型构建了安徽省土地承载力评价指标体系,运用TOPSIS方法与障碍度模型评价和诊断了2006-2015年安徽省土地承载力状况和关键障碍因素。基于评价结果,运用GM (1,1)模型预测了未来5 a安徽省土地承载力变化趋势。[结果]2006-2015年安徽省土地承载力经历了先下降后上升的变化历程;驱动力、压力、状态子系统承载力均呈先下降后上升的变化态势,影响和响应子系统承载力呈显著波动变化态势;未来5 a,压力和状态子系统承载力逐年递减,承载力水平堪忧,需重点关注;研究期内工业废水排放量始终是制约安徽省土地承载力水平提高的首要因素,环境保护投资占GDP比重、工业固体废弃物产生量等是重要制约因素。[结论]虽然安徽省土地承载力水平总体呈上升趋势,但受压力和状态子系统承载力水平低的限制,安徽省土地承载力仍处中级水平。
[Objective] Quantitative evaluation and prediction of land carrying capacity and diagnosis of its obstacle factors were carried out to provide a scientific basis for improving the land carrying capacity of Anhui Province
and also to provide new ideas for the evaluation of regional land carrying capacity.[Methods] Based on the DPSIR model
the evaluation index system of land carrying capacity in Anhui Province was constructed. The TOPSIS method and obstacle degree model were used respectively to evaluate the land carrying capacity and diagnose the key obstacle factors in Anhui Province in the past 2006-2015 years. The GM(1
1) model was used to predict the change trend of land carrying capacity in Anhui Province in the next 5 years.[Results] The results showed that the land carrying capacity of Anhui Province had gone through the change course of first descending and then rising in the past 2006-2015 years which was the same as the pressure and state subsystem
and the influence and response subsystem showed a significant fluctuation trend. In the next 5 years
the carrying capacity of the pressure and the state subsystem will experience decreasing year by year
which will result to a low level of carrying capacity which is needed to be paid attention to. During the study period
the amount of industrial wastewater discharge was always the primary factor that restricted the increase of land carrying capacity in Anhui Province. The proportion of environmental protection investment to GDP and the output of industrial solid waste were two important constraints.[Conclusion] Although the level of land carrying capacity of Anhui Province is on the rise generally
limited by the low level of carrying capacity of pressure and state subsystem
the land carrying capacity of Anhui Province is still at an intermediate level.
雷勋平, Robin Qiu,刘勇.基于熵权TOPSIS模型的区域土地利用绩效评价及障碍因子诊断[J].农业工程学报,2016,32(13):243-253.
曲衍波,朱伟亚,郧文聚,等.基于压力-状态-响应模型的土地整治空间格局及障碍诊断[J].农业工程学报,2017,33(3):241-249.
张凤太,王腊春,苏维词.基于物元分析-DPSIR概念模型的重庆土地生态安全评价[J].中国环境科学,2016,36(10):3126-3134.
张红,陈嘉伟,周鹏.基于改进生态足迹模型的海岛城市土地承载力评价:以舟山市为例[J].经济地理,2016,36(6):155-160,167.
孟庆香,常庆瑞,张俊华.陕北农牧交错带土地承载力及提高途径探讨[J].干旱地区农业研究,2003,21(1):108.
王建洪,任志远,苏雅丽.西安市土地承载力定量评价与动态分析[J].水土保持通报,2012,32(2):233-236.
韩书成,濮励杰.江苏土地综合承载力空间分异研究[J].水土保持通报,2009,29(5):146-150.
张晓娟,周启刚.基于熵权TOPSIS和灰色模型的土地承载力评价与预测:以三峡库区为例[J].资源开发与市场,2017,33(6):666-671.
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.
于广华,孙才志.环渤海沿海地区土地承载力时空分异特征[J].生态学报,2015,35(14):4860-4870.
石岩,于雷,万军,等.基于环境安全格局的威海市土地承载力评估[J].中国人口·资源与环境,2015,25(S2):213-216.
吴一凡,雷国平,路昌,等.基于改进TOPSIS模型的大庆市城市土地利用绩效评价及障碍度诊断[J].水土保持研究,2015,22(4):85-90.
曹琦,陈兴鹏,师满江.基于DPSIR概念的城市水资源安全评价及调控[J].资源科学,2012,34(8):1591-1599.
徐艺扬,钱敏蕾,李响,等.基于DPSIR的太平湖流域(黄山区)生态安全综合评估[J].复旦学报:自然科学版,2015,54(4):407-415.
黄志烨,李桂君,李玉龙,等.基于DPSIR模型的北京市可持续发展评价[J].城市发展研究,2016,23(9):20-24.
王静爱,赖彦斌,徐伟,等. NSTEC土地利用格局的人口密度变化驱动力研究[J].自然资源学报,2004,19(1):21-28.
郭欢欢,李波,侯鹰.基于土地功能的土地资源承载力研究:以北京市海淀区为例[J].北京师范大学学报:自然科学版,2011,47(4):424-427.
张博,韩琳琳,韩飞.基于DPSIR模型的土地生态安全评价:基于"一带一路"沿线18个省份面板数据[J].世界农业,2017(8):101-105.
李刚,卢晓宁,边金虎,等.岷江上游土地资源承载力评价[J].水土保持研究,2015,22(1):262-268,331.
郭显光.熵值法及其在综合评价中的应用[J].财贸研究,1994(6):56-60.
鲁春阳,文枫,杨庆媛,等.基于改进TOPSIS法的城市土地利用绩效评价及障碍因子诊断:以重庆市为例[J].资源科学,2011,33(3):535-541.
李春燕,南灵.陕西省土地生态安全动态评价及障碍因子诊断[J].中国土地科学,2015,29(4):72-81.
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