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.

Landslide variation with morphometric factors using the GIS techniques: The case of Shaqlawa Forest

2021 ◽  
Vol 28 (3) ◽  
pp. 117-128
Author(s):  
Sara Zaki ◽  
Jehan Suleimany
Keyword(s):  
Landslide Susceptibility ◽  
Geographical Information ◽  
Susceptibility Map ◽  
Kurdistan Region ◽  
Ahp Method ◽  
Landslide Susceptibility Map ◽  
Landslide Susceptibility Index ◽  
Map Data ◽  
Very High ◽  
Landslide Zone

This study deals with the application of geographical information system (GIS) datasets and methods to assess the landslide susceptibility in Wadi Hujran. The area has a rocky terrain and belongs to the Shaqlawa district of the Kurdistan Region of Iraq. The region is placed towards the Northeast side of Erbil city. The region covers an area of 18.56 Km2 (1856.1 ha) and consists of rough broken and stones. The watershed area is surrounded by North latitudes 36° 21' 53.514" to 36° 17' 49.7796" and East longitudes 44° 17' 5.658" to 44° 20' 9.06". Three factors, namely the morphometric, geological, and environmental, were used to prepare the landslide susceptibility index. The study made use of AHP method and prepared a landslide susceptibility map. Data related to geology, topography, hydrology, rainfall, and land use were used to prepare the map. Physical and statistical methods were used to validate the map. A heuristic approach was incorporated to produce the final susceptibility map. ArcGIS software was used to generate the landslide zones. A total of five landslide zones were generated, which varied from very low landslide zones (80.5) to very high landslide zone (84.5). The zones also included low landslide zone (1262.2), moderate landslide zone (1505.9), and high landslide zone (566.8), and the ratio of consistency in the present study was 0.06 AHP less than 1, and all the five zones in the study were compiled landslide zonation estimated.

scholarly journals Integration of the Analytical Hierarchy Process and GIS Spatial Distribution Model to Determine the Possibility of Runoff Water Harvesting in Dry Regions: Wadi Watir in Sinai as a Case Study

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 804
Author(s):  
Hossam H. Elewa ◽  
Martina Zelenakova ◽  
Ahmed M. Nosair
Keyword(s):  
Analytical Hierarchy Process ◽  
Spatial Model ◽  
Geographical Information ◽  
Water Harvesting ◽  
Arid Environments ◽  
Topographic Wetness Index ◽  
Runoff Water ◽  
Watershed Area ◽  
Hierarchy Process ◽  
Very High

Runoff water harvesting (RWH) is considered as an important tool for overcoming water scarcity in arid and semi-arid regions. The present work focuses on identifying potential RWH sites in the Wadi Watir watershed in the south-eastern part of the Sinai Peninsula. This was carried out by means of significant integration of the analytical hierarchy process (AHP), distributed spatial model, geographical information system (GIS), watershed modeling system (WMS), and remote sensing techniques (RS). This integration of modern research tools has its own bearing on the accurate identification of optimum RWH sites, which could be relied upon in developmental planning for arid environments. Eight effective RWH parameters were chosen to apply a multi-parametric decision spatial model (MPDSM), namely the overland flow distance, volume of annual flood, drainage density, maximum flow distance, infiltration number, watershed slope, watershed area and watershed length. These parameters were used within ArcGIS 10.1© as thematic layers to build a distributed hydrological spatial model. The weights and ranks of each model parameter were assigned according to their magnitude of contribution in the RWH potentiality mapping using a pairwise correlation matrix verified by calculating the consistency ratio (CR), which governs the reliability of the model application. The CR value was found to be less than 0.1 (0.069), indicating acceptable consistency and validity for use. The resulting MPDSM map classified the watershed into five categories of RWH potential, ranging from very low to very high. The high and very high classes, which are the most suitable for RWH structures, make up approximately 33.24% of the total watershed area. Accordingly, four retention dams and seven ground cisterns (tanks) were proposed in these areas to collect and store the runoff water, whereby these proposed RWH structures were chosen according to the soil type and current land-use pattern. The resulting MPDSM map was validated using a topographic wetness index (TWI) map, created for the watershed. This integrative and applied approach is an important technique which can be applied in similar arid environments elsewhere.

Sign in / Sign up

Export Citation Format

Share Document