长江科学院院报 ›› 2012, Vol. 29 ›› Issue (6): 6-11.

• 水土保持与生态建设 • 上一篇    下一篇

三峡库区奉节到巴东段石漠化分布及驱动因子分析

王朋伟1, 牛瑞卿1, 江齐英1, 王鹏2   

  1. 1. 中国地质大学 地球物理与空间信息学院,武汉430074; 2.水利部长江勘测技术研究所,武汉  430011
  • 收稿日期:2011-05-23 出版日期:2012-06-01 发布日期:2012-06-26
  • 通讯作者: 牛瑞卿(1969-),男,河南南阳人,博士,教授,主要从事遥感地质研究
  • 作者简介:王朋伟(1985-),男,陕西咸阳人,硕士研究生,主要从事遥感地质研究
  • 基金资助:

    国家高技术研究发展计划(863)(2009AA122004);国土资源部三峡库区三期地质灾害防治重大科学研究项目(SXKY3-3-2)

Distribution of Rock Desertification from Fengjie to Badong in Three Gorges Reservoir Area and Its Influencing Factors

WANG Peng-wei1, NIU Rui-qing1, JIANG Qi-ying1, WANG Peng2   

  1. 1. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China;2.Yangtze Research Institute of Geo-technique and Survey, Wuhan 430011, China
  • Received:2011-05-23 Online:2012-06-01 Published:2012-06-26

摘要: 为了解三峡库区石漠化情况,对石漠化进行定量分析奠定基础。以奉节到巴东段为例,通过RS和GIS技术获取石漠化主要影响因子,并利用改进的石漠化增强指数提取石漠化分布图;然后采用决策树C5.0算法获取变量重要性和规则集,科学、合理分析石漠化等级与各个因子之间的关系。研究认为:石漠化的产生不是某种孤立的因素造成的,而是多种因素综合作用所形成的;植被覆盖度是反映岩溶石漠化最直接的表现形态;碳酸盐含量较高的岩性对石漠化影响强烈;距居民区越近对石漠化影响愈强烈;坡度在“35°~90°”发生石漠化概率低,而坡度在“15°~35°”易发生石漠化。

关键词: 石漠化, 石漠化增强指数, 遥感, 决策树, 数据挖掘

Abstract: Three Gorges reservoir area is one of the ecologically sensitive areas in China. With the segment from Fengjie to Badong area as a case study, the main influencing factors of rock desertification are collected by remote sensing(RS) and GIS technology. The distribution map of rock desertification is extracted through the improved rock desertification enhance index. Moreover, the decision tree C5.0 algorithm is employed to obtain the importance of variables and rule sets. The relations between rock desertification and various factors are found out. Results show that rock desertification is caused by multi-factors instead of isolated factor. Vegetation coverage is the most intuitive external expression of rock desertification. High content of carbonate in rock near residential area is more likely to lead to rock desertification. When vegetation coverage is between 0.4-0.6, with slope of 35°-90°far from residential area, rock desertification is less likely to happen. And when vegetation coverage is low, with slope of 15°-35°and high content of carbonate in the rock near the residential area, rock desertification is highly possible. This research lays foundation for the quantitative analysis of rock desertification.

Key words:  rock desertification, desertification enhance index, remote sensing, decision tree, data mining

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