Using geographic information system and remote sensing in water soil erosion modeling in Dahr Al-Jabal/Al-Sowaida
published by Damascus University
in 2014
in
and research's language is
العربية
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Abstract in English
This study aimed to describe the water erosion modeling in Daher Aljabal
and its surrounding areas in Al-Sowaida Governorate based on GIA and RS.
The water erosion risk map was obtained by applying GIS model developed on
the basis of ten factors influencing the erosion process. GIS layers were built
for every factor. The weights for all factors were added together. Based on sum
of these factors, water erosion was divided into six erosion risk levels. Results
showed that 12% of the study area was classified in levels 5 and 6, which reflect
high and very high water erosion risks. Land topography was the main factor
in water soil erosion. Terraces are effective ways to decrease the water soil
erodability. Results also showed that GIS and RS were powerful tools in water
erosion risk assessment mapping.
References used
Al-Abed, M., A. YAGHI. S. Zhou. and W. Renchao. 2001. An Integrated GIS/RS Approach for Soil Erosion Assessment and Modeling in Syrian Coastal Soils, Pedo sphere 11(2): 167-174
Ai, L., N.F. Fang. B. Zhang. and Z.H. Shi. 2013. Broad area mapping of monthly soil erosion risk using fuzzy decision tree approach: integration of multi-source data within GIS, International Journal of Geographical Information Science 27 (6): 1251-1267
Baban, S. M. J., and K. W. Yusof. 2001. Modelling soil erosion in tropical environments using remote sensing and geographical information systems, Hydrological Sciences Journal 46(2): 191-198