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生态视角下的山区城镇建设用地适宜性评价 被引量:11

Land Suitability Evaluation of Mountain Towns from Ecological Perspective
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摘要 【目的】以奉节县为研究对象,将生态敏感性评价和生物多样保护功能评价纳入评价指标体系,评价山区城镇建设用地适宜性。【方法】共选取包含自然、经济和生态3方面的13个弹性因子和3个刚性因子构建山地城镇建设用地适宜性评价模型,采用层次分析法(AHP)为各弹性因子分配权重,利用ArcGIS的空间分析功能进行运算并将结果分为5个等级。【结果】1)适宜建设用地和较适宜建设用地面积分别占区域面积的2.2%和4.18%,可建设用地少且空间分布不均,较为集中分布于朱一镇、永安街道及鱼复街道一带;2)92%的建成区分布在适建区内。绝大部分乡镇建成区与适建区重合度较高,表明奉节县的城镇建设受限制性条件约束小,布局较为合理。【结论】研究结果可为奉节县的城镇建设提供较好的科学依据,对于山区城镇建设用地适宜性评价具有较好的借鉴意义。 [Purposes]Take Fengjie county as a case, the evaluation of ecological sensitivity and the evaluation of biological diversity protection function are included in the evaluation index system. [Methods]A total of 3 aspects of natural, economic and ecological aspects of 13 elasticity factors and 3 rigidity factors together construct a land suitability evaluation model of urban construction land. Using analytic hierarchy process (AHP) to assign weights for each factor and the space analysis function of ArcGIS is performed and the results are divided into 5 grades. [Findings]l) Suitable land for construction and less suitable land for construction are accounted for 2. 2% and 4. 18% of region area respectively, and uneven spatial distribution of appropriate building area, and also more concentrated distribution in Zhuyi Town, Yongan Street and Yufu Street; 2) 92 % of the constructed area distribution in appropriate building area. Most country's constructed area and appropriate building area have high degreed of coincidence shows that the construction of Fengjie County's restrictive conditions is small, and has a more reasonable layout. [Conclusions]The research results can provide a good scientific basis for the construction of Fengjie county. It has good reference value for the land suitability evaluation of mountainous cities and towns.
出处 《重庆师范大学学报(自然科学版)》 CAS CSCD 北大核心 2017年第3期121-127,F0002,F0003,共9页 Journal of Chongqing Normal University:Natural Science
基金 国家自然科学基金项目(No.41571419)
关键词 适宜性评价 层次分析法 生态敏感性评价 GIS 山区城镇 suitability analysis analytic hierarchy process ecological sensitivity evaluation GIS mountain town
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