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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

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   

  1. 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
  • 收稿日期:2009-01-04 修回日期:1900-01-01 出版日期:2009-07-20 发布日期:2009-07-20

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

LI Cheng1;LI Jun-xiang1,2,3;ZHU Fei-ge1;CAO Lu1;CHEN Zhu1;WU Tong4;WU Ming5;SUN Hai-jing5   

  1. 1Department of Environmental Science, East China Normal University, Shanghai 200062, China;2Shanghai Key Laboratory of Urbanization and Ecological Restoration, Shanghai 200062, China;3Tiantong National Station of Forest Ecosystem, East China Normal University, Shanghai 200062, China;4Department of Development and Planning, Guangxi University, Nanning 530004, China;5Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang 311400, Zhejiang, China
  • Received:2009-01-04 Revised:1900-01-01 Online:2009-07-20 Published:2009-07-20

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200~500 m,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.

关键词: 养猪废水, 小麦, 中微量元素, 品质

Abstract: By using GIS and RS techniques and RUSLE, the rainfall erosiv ity (R), soil erodibility (K), vegetation and management factor (C), and slope length and steepness factor (LS) around Hangzhou Bay of Zhejiang Province, China were calculated to make a comprehensive sensitivity evaluation o f soil erosion in the study area. In the meantime, the contribution of each natu ral factor, i.e., rainfall, soil texture, slope, and elevation, was analyzed, an d 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 ero sion was mainly at non-sensitive and low sensitive levels. The percentages of the areas with different soil erosion sensitivity varied with the strength of th e affecting factors. Soil erosion sensitivity increased with increasing rainfall and slope, and the percentage of the area with high soil erosion sensitivity wa s the largest at elevation 200〖KG-*2〗-〖KG-*7〗500 meters. The overlapping and ordering method was a practicable approach in identifying the key affecting fac tors in given sensitive areas, being helpful to understand the mechanisms causin g soil erosion.

Key words: pig slurry, wheat, medium and micro element, quality.