基于RUSLE的环杭州湾地区土壤侵蚀敏感性评价及关键敏感因子识别  

Sensitivity evaluation and key sensitive factors identification of soil erosion around Hangzhou Bay based on RUSLE

作　　者：李铖[1] 李俊祥[1,2,3] 朱飞鸽[1] 曹璐[1] 陈朱[1] 吴彤[4] 吴明[5] 孙海菁[5] 

机构地区：[1]华东师范大学环境科学系,上海200062 [2]上海市城市化生态过程与生态恢复重点实验室,上海200062 [3]华东师范大学天童森林生态系统国家野外站,上海200062 [4]广西大学发展规划处,南宁530004 [5]中国林业科学院亚热带林业研究所,浙江富阳311400

出　　处：《应用生态学报》2009年第7期1577-1585,共9页Chinese Journal of Applied Ecology

基　　金：浙江省重点科技攻关计划项目(2004C12030);华东师范大学"211工程"生态学重点学科项目;浙江省-中国林业科学研究院合作项目(2005SY09)资助

摘　　要：基于修正的通用土壤流失方程(RUSLE)以及GIS和RS技术,以环杭州湾地区为例,分别计算了影响土壤侵蚀敏感性的降雨侵蚀因子、土壤可蚀性因子、植被与经营管理因子以及坡长与坡度因子,综合评价了土壤侵蚀敏感性,分析降雨、土壤质地、坡度和高程4个自然因子对土壤侵蚀敏感性的影响,并用叠加排序法对给定敏感区的关键影响因子进行识别.结果表明:环杭州湾地区的土壤侵蚀以不敏感和轻度敏感为主;不同影响因子在不同变化范围内,各土壤侵蚀敏感性等级的面积百分比不同,土壤侵蚀敏感性随降雨量、坡度的增加而增高,而在海拔200～500m,高敏感等级的土壤侵蚀敏感性的面积百分比最大.叠加排序方法是识别给定敏感区关键影响因子的有效方法,有助于理解土壤侵蚀形成的机制.By using GIS and RS techniques and RUSLE, the rainfall erosivity （R）, soil erodibility （K）, vegetation and management factor （C）, and slope length and steepness factor （L S） around Hangzhou Bay of Zhejiang Province, China were calculated to make a comprehensive sensitivity evaluation of soil erosion in the study area. In the meantime, the contribution of each natural factor, i. e. , rainfall, soil texture, slope, and elevation, was analyzed, and a new approach, overlapping and ordering method, was developed to identify the key affecting factors in the given sensitive areas. In the study area, soil erosion was mainly at non-sensitive and low sensitive levels. The percentages of the areas with different soil erosion sensitivity varied with the strength of the affecting factors. Soil erosion sensitivity increased with increasing rainfall and slope, and the percentage of the area with high soil erosion sensitivity was the largest at elevation 200-500 meters. The overlapping and ordering method was a practicable approach in iden sensitive areas, being helpful to understand the mechanisms tifying the key affecting factors in given causing soil erosion.

关 键 词：修正的通用土壤流失方程 土壤侵蚀敏感性 环杭州湾地区 叠加排序法 GIS 

分 类 号：S157[农业科学—土壤学]