地理学报

地理学报 ›› 2001, Vol. 56 ›› Issue (2): 146-158.doi: 10.11821/xb200102003

• 论文 • 上一篇    下一篇

中国土壤风力侵蚀空间格局及驱动因子分析

张国平1, 张增祥1, 刘纪远2   

  1. 1. 中国科学院遥感应用研究所,北京100101;
    2. 中国科学院地理科学与资源研究所,北京100101
  • 收稿日期:2000-12-06 修回日期:2001-01-12 出版日期:2001-03-15 发布日期:2001-03-15
  • 基金资助:
    国家“九五”攻关项目(96-B02-01);水利部“全国土壤侵蚀遥感调查项目”

Spatial Distribution of Aeolian Erosion of Soil and Its Driving Factors in China

ZHANG Guo ping1, ZHANG Zeng xiang1, LIU Ji yuan 2   

  1. 1. Institute of Remote Sensing Application, CAS, Beijing 100101, China;
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2000-12-06 Revised:2001-01-12 Online:2001-03-15 Published:2001-03-15
  • Supported by:
    The National“Ninth Five Year”Plan,No.96-B02-01;The Project of Minstry of Water Resource on national soilerosion remote sensing investigation

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被引次数

221

摘要： 利用遥感与地理信息系统方法对全国土壤风力侵蚀状况进行了宏观调查,建立了全国1∶ 1 0万土壤风力侵蚀数据库。对导致土壤风力侵蚀的原因进行分析,指出风速、土壤干燥度、地表植被指数、土壤质地和坡度是土壤风力侵蚀的重要驱动因子。分析了这些因子与土壤侵蚀的空间关系。利用主成份分析方法,建立风力侵蚀动力指数模型。模型输出的风力侵蚀动力指数与全国土壤风力侵蚀遥感调查的结果有较好的一致性,表明土壤风力侵蚀动力指数可以较好地反映地区土壤风力侵蚀过程,并对沙漠化治理有指导意义。

关键词: 遥感, 地理信息系统, 土壤风力侵蚀动力指数, 土壤风力侵蚀, 中国

Abstract: Based on the remote sensing and geographic information system, the spatial distribution of national wide soil erosion of wind are studied, and the 1:100 000 national soil map of wind erosion is made. Wind speed, soil dryness, NDVI, soil property and land surface slope are the key factors to the soil wind erosion. The relations between the soil wind erosion and each factor are discussed. The method of Principal Component is used to pick up the information included in the five factors, and the Soil Wind Erosion Dynamic Index (SWEDI) is established. Its comparison with the RS/GIS derived data shows that SWEDI can reflect the potential capacity of the soil erosion by wind. The dynamic process of soil wind erosion is studied, to reveal the distribution of the most intense heaviest soil erosion regions and the dominant factors in these regions. All these studies may greatly help for the mitigation of the aeolian erosion of soil.

Key words: remote sensing, geographic information system, soil aeolian erosion, SWEDI

中图分类号: 

  • S157