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基于网格数据的贵州土壤侵蚀敏感性评价及其空间分异
引用本文:杨广斌,李亦秋,安裕伦.基于网格数据的贵州土壤侵蚀敏感性评价及其空间分异[J].中国岩溶,2006,25(1):73-78.
作者姓名:杨广斌  李亦秋  安裕伦
作者单位:1. 贵州师范大学地理与生物科学学院,贵州,贵阳,550001;中国林业科学院资源与信息研究所,北京,100091
2. 绵阳师范学院资源与环境系,四川,绵阳,621000
3. 贵州师范大学地理与生物科学学院,贵州,贵阳,550001
基金项目:贵州省省长基金;贵州省教育厅自然科学基金;贵州省实验室基金
摘    要:在通用土壤侵蚀方程的基础上,建立了土壤侵蚀敏感性评价指标体系,利用G IS方法对影响土壤侵蚀敏感性的单因子进行评价,并将各因子进行网格化,运用网格数据的空间叠加分析方法对贵州省土壤侵蚀敏感性进行综合评价。在此基础上探讨了贵州省土壤侵蚀敏感性空间分异规律。通过与已有的土壤侵蚀现状图比较,发现土壤侵蚀高敏感区与水土流失严重区并不吻合,并进一步指出,脆弱的喀斯特环境是产生严重水土流失和导致石漠化的地质基础,强烈的人类活动是加速这一过程的主要驱动力量。

关 键 词:网格数据  土壤侵蚀敏感性  空间分异  贵州
文章编号:1001-4810(2006)01-0073-06
收稿时间:2005-10-02
修稿时间:2005年10月2日

PIXEL-BASED ASSESSMENT AND SPATIAL DISTRIBUTION OF SENSITIVITY OF SOIL EROSION IN GUIZHOU
YANG Guang-bin,LI Yi-qiu and AN Yu-lun.PIXEL-BASED ASSESSMENT AND SPATIAL DISTRIBUTION OF SENSITIVITY OF SOIL EROSION IN GUIZHOU[J].Carsologica Sinica,2006,25(1):73-78.
Authors:YANG Guang-bin  LI Yi-qiu and AN Yu-lun
Institution:1. School of Geography and Biology in Guizhou Normal University, Guiyang, Guizhou 550001, China ;2. Geography Department of Mianyang Normal University, Mianyang ,Sichuan 621000 ,China ; 3. Resource and Information Department of China Academy of Forestry, Beijing 100091 ,China
Abstract:Based on Universal Soil Loss Equation and pixel-based GIS analysis and methods of mathematics model,we classified influence of precipitation,soil,topography and vegetation upon sensitivity of soil erosion into five different degrees,and finished assessment map of each factor.We also drew integrated assessment map of sensitivity of soil erosion by overlapping function with Arcinfo.Furthermore,we analyzed distribution characteristics and spatial difference of sensitivity of soil erosion in Guizhou.Finally,we compared the integrated assessment map of sensitivity of soil erosion and the integrated assessment map of actuality of soil erosion in Guizhou,and pointed out that the most serious soil erosion areas of the karst desertification area are not the most sensitivity areas.It is believed the vulnerable karst environment is geologic base and violent human impaction is the driving force for the karst desertification.
Keywords:Grid data  Sensitivity of soil erosion  Spatial difference  Guizhou
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