湖北农业科学 ›› 2018, Vol. 57 ›› Issue (14): 32-37.doi: 10.14088/j.cnki.issn0439-8114.2018.14.007

• 资源·环境 • 上一篇    下一篇

基于变异系数法的灵宝市土地生态敏感性分析

吴昆a, b, 彭红霞a, b, c, 李江风a, 陈万旭a   

  1. a. 中国地质大学(武汉), 公共管理学院, 武汉 430074;
    b. 中国地质大学(武汉), 国家公园与地理环境实验室, 武汉 430074;
    c. 中国地质大学(武汉), 国土资源部法律评价工程重点实验室, 武汉 430074
  • 收稿日期:2018-02-23 出版日期:2018-07-25 发布日期:2019-12-19
  • 通讯作者: 彭红霞(1973-), 女, 副教授, 主要从事第四纪环境演变研究, (电话)13163248181(电子信箱)penghongxia@sina.com。
  • 作者简介:吴 昆(1994-), 男, 江西南昌人, 在读硕士研究生, 研究方向为自然地理学, (电话)13018067897(电子信箱)1031345349@qq.com;
  • 基金资助:
    国家自然科学基金项目(41701629; 41202124); 中国地质调查局地质调查项目(12120115051101); 中国地质大学(武汉)公共管理学院研究生科技创新活动孵化基金项目(Y20181008); 湖北省自然科学基金项目(2016175160); 中国地质大学(武汉)国土资源部法律评价工程重点实验室开放基金项目

Land Ecological Sensitivity Analysis of Lingbao City Based on the Coefficient of Variation Method

WU Kuna, b, PENG Hong-xiaa, b, c, LI Jiang-fenga, CHEN Wan-xua   

  1. a.Institute of Public Administration Wuhan 430074, China;
    b.National Park and Geographic Environment Laboratory, Wuhan 430074, China;
    c.Key Laboratory of the Ministry of Land and Resources for Law Evaluation Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China
  • Received:2018-02-23 Online:2018-07-25 Published:2019-12-19

摘要: 选定河南省灵宝市地貌、地质灾害易发程度、土地覆被、土壤类型和地形坡度等5个因子, 构建土地生态敏感性评价指标体系, 采用客观确权法-变异系数法确定各个因子权重, 结合ArcGIS, 运用加权评分法得到灵宝市土地敏感性分布情况。结果表明, 灵宝市土地生态环境总体较脆弱, 以极敏感和高敏感为主, 占全市面积的52.90%, 不敏感和低敏感区占全市面积的23.89%。

关键词: 土地生态敏感性, ArcGIS, 变异系数法, 灵宝市

Abstract: Five factors of Lingbao city in Henan province were selected, including the landform, the degree of susceptibility to geological disasters, land cover type, soil type and topographic gradient, and the evaluation index system of land ecological sensitivity was constructed. Objective weighting method-coefficient of variation method was used to determine the weight of each factor. Combined with ArcGIS, Weighted grading method was used to get the distribution of land sensitivity in Lingbao city. The results showed that the ecological environment of Lingbao was generally fragile, with mainly very sensitive and highly sensitive, accounting for 52.90% of the total area of the city; While insensitive and low sensitive area accounting for 23.89% of the total area of the whole city.

Key words: land ecological sensitivity, ArcGIS, coefficient of variation method, Lingbao city

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