scholarly journals GIS-based Landslide Susceptibility Evaluation Using Analytical Hierarchy Process (AHP) Approach: The Case of Tarmaber District, Ethiopia

2019 ◽  
Vol 11 (1) ◽  
pp. 14 ◽  
Author(s):  
Asmelash Abay ◽  
Giulio Barbieri ◽  
Kifle Woldearegay
Keyword(s):  
Analytical Hierarchy Process ◽  
Landslide Susceptibility ◽  
Hierarchy Process ◽  
Susceptibility Evaluation

scholarly journals Landslide Zonation at the Budong-Budong Watershed, Central Mamuju District of West Sulawesi Province

2014 ◽  
Vol 28 (2) ◽  
Author(s):  
Muchtar S Solle ◽  
Paharuddin Paharuddin ◽  
Asmita Ahmad ◽  
Muh. Ansar
Keyword(s):  
Information System ◽  
Analytical Hierarchy Process ◽  
Landslide Susceptibility ◽  
Steep Slope ◽  
Geographical Information ◽  
Land Sliding ◽  
Gis Methods ◽  
Hierarchy Process ◽  
Very High ◽  
Landslide Zone

The objectives of this study are as  follows: first, to investigate the contributing parameters induced land sliding in the Budong-Budong watershed, and second, to construct landslide susceptibility zonation map.  In this study, the analytical hierarchy process (AHP) based on Geographical Information System (GIS) methods was used to produce map of landslide susceptibility. In this study area, more than 50% of total area were classified high (H) to very high (VH)  susceptibility landslide zone.  Mean while, 12% of total area were classified as  moderate (M)  and remaining were classified as  low (L) to very low (VL) susceptibility landslide zone. Almost area of Budong-Budong Wetershed were classified as VH and H susceptibility landslide zone underlying by Talaya (Tmtv), Lamasi (Toml) and Latimojong (Kls) Formation on the steep slope land.

scholarly journals Statistical and expert-based landslide susceptibility modeling on a national scale applied to North Macedonia

2019 ◽  
Vol 11 (1) ◽  
pp. 750-764
Author(s):  
Ivica Milevski ◽  
Slavoljub Dragićević ◽  
Matija Zorn
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Analytical Hierarchy Process ◽  
Landslide Susceptibility ◽  
Cross Validation ◽  
Landslide Inventory ◽  
National Scale ◽  
Landslide Occurrence ◽  
Susceptibility Modeling ◽  
Hierarchy Process

Abstract This article presents a Geographic Information System (GIS) assessment of Landslide Susceptibility Zonation (LSZ) in North Macedonia. Because of the weak landslide inventory, statistical method (frequency ratio) is combined with Analytical Hierarchy Process (AHP). In this study, lithology, slope, plan curvature, precipitations, land cover, distance from streams, and distance from roads were selected as precondition factors for landslide occurrence. There are two advantages of the approach used. The first is the possibility of comparing of the results and cross-validation between the statistical and expert based methods with an indication of the advantages and drawbacks of each of them. The second is the possibility of better weighting of precondition factors for landslide occurrence, which can be useful in cases of weak landslide inventory. The final result shows that in the case of weak landslide inventory, LSZmap created with the combination of both models provide better overall results than each model separately.

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