إن الهدف الأساس من هذه الدراسة هو إنتاج خريطة الحساسية للانهيارات الأرضية باستخدام نظم المعلومات الجغرافية في الساحل السوري. في المرحلة الأولى من الدراسة، 75% من مواقع الانهيارات الأرضية (45 موقعاً من الانهيارات الأرضية) استخدمت كعينات بيانية تدريبية و الباقي استخدم (15 موقعاً من الانهيارات الأرضية) كعينات بيانية للتحقيق. تم توظيف 14 طبقة من البيانات كعوامل شرطية لحدوث الانهيارات الأرضية. هذه العوامل هي الميل، اتجاه الميل، الارتفاع، الانحناء الأفقي، الانحناء الرأسي، الانحناء المماسي، نسبة مساحة السطح (SAR)، الليثولوجيا، استخدام الأراضي، المسافات عن الفوالق، المسافات عن الأنهار، المسافات عن الطرق، دليل الرطوبة الطبوغرافي TWI))، دليل قوة لتيار المائي ((SPI.
باستخدام هذه العوامل الشرطية تم حساب دليل الحساسية للانهيارات الأرضية. بعد ذلك، رسمت النتيجة في برنامج ArcGIS و حصلنا على خريطة الحساسية للانهيارات الأرضية. تعتبر خريطة الحساسية الناتجة مفيدة في مجال تخطيط استخدامات الأراضي العامة.
The main goal of this study is to produce landslide sensitivity mapusing GIS at
Syrian Coast area.At the first stage of the study, 75% of the landslides locations (45
landslide locations) are used as training dataset and the rest was used as (15 landslide
locations) the validation dataset. Fourteen input data layers were employed as landslide
conditioning factors in the landslide sensitivity mapping. These factors are slope degree,
aspect, altitude, plan curvature, profile curvature, tangential curvature, surface area ratio
(SAR), lithology, land use, distance from faults, distance from rivers, distance from roads,
topographic wetness index (TWI) and stream power index (SPI).
Using these conditioning factors, landslide sensitivity index was calculated.
Subsequently, the result was plotted in ArcGIS and landslide sensitivity map was obtained.
The produced sensitivity map is useful for general land-use planning.
References used
POURGHASEMI, H. R.؛PRADHAN, B. ؛GOKCEOGLU,C.andMOEZZ, K.D.Landslide Susceptibility Mapping Using a Spatial Multi Criteria Evaluation Model at Haraz Watershed. Springer-Verlag Berlin Heidelberg, Iran,2012,23-49
POURGHASEMI, H. R.؛ JIRANDEH, G. A., PRADHAN, B.؛ XU, Cand GOKCEOGLU, C.Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province. Indian Academy of Sciences, Iran, 2012, 349-369
ABD LATIF, Z. ؛ PRADHAN, B. and AMAN, S. N. Spatial probabilistic approach on landslide susceptibility assessment from high resolution sensors derived parameters, Earth and Environmental Science, United Kingdom 2014, 1-6
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