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Register a new userUsing geographic information system and remote sensing in water soil erosion modeling in Dahr Al-Jabal/Al-Sowaida
استخدام نظام المعلومات الجغرافي و تقنيات الاستشعار عن بعد في نمذجة انجراف التربة المائي في منطقة ضهر الجبل/ السويداء
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هدفت الدراسة إلى نمذجة انجراف التربة المائي في منطقة ضهر الجبـل و محيطهـا فـي محافظـة السويداء باستخدام نظم المعلومات الجغرافية GIS و تقنية الاستشعار عن بعد RS .قيمت مخاطر انجراف التربة عن طريق تطبيق أنموذج رياضي ضمن بيئة نظام المعلومات الجغرافي بالاعتمـاد علـى عـشرة عوامل تؤثر في انجراف التربة المائي. و أنشأت طبقات للعوامل السابقة ثم جمعت لإنتاج خارطـة لتقيـيم مخاطر الانجراف التي قسمت إلى ست درجات. أظهرت النتائج أن 12 % من منطقة الدراسة تقع ضـمن الدرجتين 5 و 6 اللتين تعكسان قابلية عالية و عالية جداً للانجـراف. بينـت النتـائج أيـضاً أن العامـل الطبوغرافي الذي يشمل درجة الانحدار و شكل المنحدر و النظام الأرضي و شكل الأرض يساهم بشكل فعال في حدوث الانجراف المائي، و أن المدرجات تعد وسيلة فعالة للتخفيف من خطورة الانجراف في المنطقـة المدروسة. كما أثبتت الدراسة أن نظم المعلومات الجغرافية و تقنية الاستشعار عن بعد هما أداتان فعالتان في رسم خرائط التربة و المشاكل المتعلقة بها لا سيما مشكلة الانجراف المائي.
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
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