首页|基于RS/GIS和RUSLE的福建武步溪流域土壤侵蚀研究

基于RS/GIS和RUSLE的福建武步溪流域土壤侵蚀研究

Soil erosion estimation by using RUSLE, RS and GIS models in the Wubuxi Watershed,Fujian

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将地理信息系统(GIS)、遥感技术(RS)和美国修正的通用土壤流失方程(RUSLE)相结合对武步溪流域的土壤侵蚀量进行计算.运用ERDASIMAGINE 8.4软件对武步溪流域2001年和2003年的遥感影像进行监督分类,结合数字高程模型(DEM)和土壤分布图在ArcView3.2软件平台上获取RUSLE模型中的LS、C、P、R因子,通过ArcView3.2软件进行数据处理和叠加分析,最终得到武步溪流域两个年份的土壤侵蚀等级的空间分布图及土壤侵蚀量.研究结果表明:2001年和2003年中度侵蚀及其以上等级的土壤侵蚀量分别占同年总侵蚀量的88.1%和59.8%,2001年的土壤侵蚀状况比2003年更为严重,其主要原因是2001年降雨侵蚀因子大于2003年的降雨侵蚀因子.改变不合理的土地利用方式将有利于改善该流域土壤流失状况.
As is known, soil erosion is one of the most serious problems in our eco-environmental protection. This paper focuses its attention on the development of a method for estimating soil erosion in the Wubuxi Watershed, Fujian, based on such approaches as the geographic information system (GIS), the remote sensing (RS) technology and the revised universal soil loss equation ( RUSLE). First of all, we have used ERDAS IMAGINE 8.4 to supervise the classification of remote sensing image treatment of the watershed in 2001 and 2003 according to the spatial distribution characteristics of soil erosion in the watershed study area. Secondly, we have analyzed the features of such soil erosion phenomena, with various physical parameters of RUSLE such as K, LS, C, P, and R derived from the processing of our investigation information and remote sensing data through combination of DEM and soil distributing map on ArcView3.2 interface. And, thirdly, the soil erosion intensity map as well as the quantity of the Wubuxi Watershed in 2001 and 2003 was obtained effectively by using the model of overlay analysis based on ArcView3.2. The results of our research show that there was a visible discrepancy between the two periods in the soil erosion in the region under study, with the moderate and higher erosion intensities accounting for 88.1 % of the total area in 2001 while that in 2003 accounting for 59.8%. Bes-dies, the soil erosion degree and its change with different factors have been carefully analyzed, which provides highlights to the dynamic parameters of RUSLE, such as C, R, and Borne other land use data, including farmland, forest land, dry land, meadow, etc. All the above results investigated indicate that the rainfall erosion factors contribute a lot to the current soil erosion consequences, which made the situation of soil erosion of the watershed in 2001 much worse than the one in 2003. And, last of all, the paper has brought about some suggestions on how to alleviate the current soii erosion situation and how to avoid irrational land abuse by taking effective measures to protect the eco-environment of the Wubuxi Watershed in the future.

environmental sciencegeographic information system (GIS)remote sensing (RS)revised universal soil loss equation (RUSLE)the Wubuxi Watershedsoil erosion

曾慧娟、潘文斌

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福州大学环境与资源学院,福州,350002

环境科学 地理信息系统(GIS) 遥感技术(RS) 修正通用土壤流失方程(RUSLE) 武步溪流域 土壤侵蚀量

福建省教育厅科研项目福建省福州大学校人才基金

JB05026XJY-0110

2007

安全与环境学报
北京理工大学 中国环境科学学会 中国职业安全健康协会

安全与环境学报

CSTPCDCSCD
影响因子:0.943
ISSN:1009-6094
年,卷(期):2007.7(5)
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