DocumentCode
2213080
Title
Exploring effects of rainfall intensity on soil erosion at the catchment scale using modified semmed model at the Zuli River Basin, western of loess Plateau, China
Author
Zhang XiaoWen ; Zhang Shiqiang
Author_Institution
Resource Environ. & Urban & Rural Planning Dept., Lanzhou Univ. of Finance & Econ., Lanzhou, China
fYear
2012
fDate
22-27 July 2012
Firstpage
690
Lastpage
693
Abstract
Serious soil erosion is both the cause and the result of eco-environment degradation in Zuli River Basin (ZRB) of Chinese loess Plateau. The spatial distribution of soil erosion of ZRB in one humid year 1999 and dry year 2001 were estimated by modified SEMMED model which forced by the observed precipitation data, Digital Elevation Model, land use data derived from remote sensing data, and other field survey data under GIS environment. The results of simulated soil erosion suggest that the most serious soil erosion occurred in areas around Gejiacha, Caotan, Gejiazai and Jingyuan. The soil erosion in central and southern part of ZRB is less than that of Northern part. The Quwu Mountain, Yueliang Mountain and Huajialing have high vegetation cover and less soil erosion. These results indicate that the soil erosion is highly sensitive to the great interannual variability of rainfall intensity in arid regions such as ZRB.
Keywords
digital elevation models; erosion; geographic information systems; rain; soil; vegetation; AD 1999; AD 2001; Caotan; Chinese loess Plateau; GIS environment; Gejiacha; Gejiazai; Huajialing; Jingyuan; Quwu Mountain; Yueliang Mountain; ZRB soil erosion; Zuli river basin; digital elevation model; land use data; modified SEMMED model; precipitation data; rainfall intensity effects; remote sensing data; soil erosion; vegetation cover; Data models; Distribution functions; Graphical models; Kinetic energy; Rivers; Soil; Vegetation mapping; SEMMED; Soil erosion; model; rainfall intensity;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351476
Filename
6351476
Link To Document