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Using 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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 Publication date 2014
and research's language is العربية
 Created by Shamra Editor




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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.


Artificial intelligence review:
Research summary
هدفت الدراسة إلى نمذجة انجراف التربة المائي في منطقة ضهر الجبل ومحيطها في محافظة السويداء باستخدام نظم المعلومات الجغرافية (GIS) وتقنية الاستشعار عن بعد (RS). تم تقييم مخاطر انجراف التربة عن طريق تطبيق نموذج رياضي يعتمد على عشرة عوامل مؤثرة في الانجراف. تم إنشاء طبقات للعوامل السابقة وجمعها لإنتاج خريطة تقييم مخاطر الانجراف التي قسمت إلى ست درجات. أظهرت النتائج أن 12% من منطقة الدراسة تقع ضمن الدرجتين 5 و6 اللتين تعكسان قابلية عالية وعالية جداً للانجراف. وأظهرت النتائج أن الطبوغرافيا وشكل المنحدر والنظام الأرضي وشكل الأرض يساهمون بشكل فعال في حدوث الانجراف، وأن المدرجات تعد وسيلة فعالة للتخفيف من خطورة الانجراف. كما أثبتت الدراسة أن نظم المعلومات الجغرافية وتقنية الاستشعار عن بعد هما أداتان فعالتان في رسم خرائط التربة والمشاكل المتعلقة بها، لا سيما مشكلة الانجراف المائي.
Critical review
دراسة نقدية: تعتبر الدراسة خطوة مهمة نحو استخدام التكنولوجيا الحديثة في تقييم مخاطر انجراف التربة، ولكن هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من الممكن أن تكون الدراسة أكثر شمولية إذا تضمنت تحليلًا اقتصاديًا لتكاليف وفوائد استخدام نظم المعلومات الجغرافية وتقنيات الاستشعار عن بعد في إدارة التربة. ثانيًا، يمكن أن تكون النتائج أكثر دقة إذا تم استخدام بيانات محدثة وصور فضائية ذات دقة أعلى. وأخيرًا، كان من الممكن أن تكون الدراسة أكثر تأثيرًا إذا تضمنت توصيات عملية واضحة يمكن تطبيقها من قبل المزارعين والجهات المعنية.
Questions related to the research
  1. ما هي الأدوات المستخدمة في نمذجة انجراف التربة المائي في الدراسة؟

    تم استخدام نظم المعلومات الجغرافية (GIS) وتقنية الاستشعار عن بعد (RS) في نمذجة انجراف التربة المائي.

  2. ما هي النسبة المئوية من منطقة الدراسة التي تقع ضمن الدرجتين 5 و6 من مخاطر الانجراف؟

    تقع 12% من منطقة الدراسة ضمن الدرجتين 5 و6 اللتين تعكسان قابلية عالية وعالية جداً للانجراف.

  3. ما هي العوامل الرئيسية التي تؤثر في حدوث الانجراف المائي حسب الدراسة؟

    العوامل الرئيسية هي الطبوغرافيا، شكل المنحدر، النظام الأرضي، وشكل الأرض.

  4. ما هي التوصيات التي قدمتها الدراسة للتخفيف من مخاطر الانجراف المائي؟

    أوصت الدراسة باستخدام المدرجات كوسيلة فعالة للتخفيف من خطورة الانجراف، وأشارت إلى أهمية استخدام نظم المعلومات الجغرافية وتقنية الاستشعار عن بعد في رسم خرائط التربة والمشاكل المتعلقة بها.


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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