Subscribe Now Subscribe Today
Science Alert
Curve Top
Journal of Applied Sciences
  Year: 2003 | Volume: 3 | Issue: 10 | Page No.: 659-669
DOI: 10.3923/jas.2003.659.669
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Soil Erosion Risk Prediction with RS and GIS for the Northwestern Part of Hebei Province, China

Ayad Mohammed Fadhil Al-Quraishi

A soil erosion risk map was developed for Northwestern part of Hebei province, China, using the Revised Universal Soil Loss Equation (RUSLE). Remote Sensing (RS) and Geographical Information System (GIS) technology were used in this study. Spatially modeling soil erosion in the GIS required generating representative raster layers based on secondary data for the following parameters; rainfall erosivity, slope length/gradient, soil erodibility and conservation practices. Landsat TM imagery for the year 1996 was utilized to produce land use/cover maps of the study area based on the maximum likelihood classification method. These maps were then, used to generate the conservation practice factor in the RUSLE. The analysis was performed using IDRISI32, a raster based GIS software. Results showed that 3,413.51 km2 (54.968%) has very slight soil erosion and 1,761.98 km2 (28.373%) has slight soil erosion. This study demonstrates the effectiveness of RS and GIS in generating soil risk maps. The produced erosion risk map is a valuable resource for planners to minimize soil erosion problems caused by future and ongoing development projects on the study area and the other areas as well.
PDF Fulltext XML References Citation Report Citation
How to cite this article:

Ayad Mohammed Fadhil Al-Quraishi , 2003. Soil Erosion Risk Prediction with RS and GIS for the Northwestern Part of Hebei Province, China. Journal of Applied Sciences, 3: 659-669.

DOI: 10.3923/jas.2003.659.669






Curve Bottom