scholarly journals Using GIS & Multicriteria Decision analysis in landslide susceptibility mapping - a case study in Messinia prefecture area (SW Peloponnesus, Greece)

2007 ◽  
Vol 40 (4) ◽  
pp. 1973 ◽  
Author(s):  
I. Ladas ◽  
I. Fountoulis ◽  
I. Mariolakos
Keyword(s):  
Decision Analysis ◽  
Land Use Planning ◽  
Landslide Susceptibility ◽  
Construction Projects ◽  
Multicriteria Decision Analysis ◽  
Combination Method ◽  
Landslide Susceptibility Mapping ◽  
Susceptibility Map ◽  
Analytic Hierarchy ◽  
Multicriteria Decision

The purpose of this study is to assess the susceptibility of landslides at the eastern part of Messinia prefecture using GIS and Multicriteria Decision Analysis. Analytic Hierarchy Process and Weighted Linear Combination method were used to create a landslide susceptibility map for the study area. The produced map provides valuable information concerning the stability conditions of the territory and may serve as the first step in a complete hazard assessment towards the mitigation of natural landslide disasters in Messinia Prefecture area. Particularly the intention is to transfer effectively information regarding slope stability to non-geologists who take decisions for future land use planning processes and major construction projects.

GIS-based analytic hierarchy process as a multicriteria decision analysis instrument: a review

2012 ◽  
Vol 6 (8) ◽  
pp. 3059-3066 ◽  
Author(s):  
Imtiaz Ahmed Chandio ◽  
Abd Nasir B. Matori ◽  
Khamaruzaman B. WanYusof ◽  
Mir Aftab Hussain Talpur ◽  
Abdul-Lateef Balogun ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Analysis Instrument ◽  
Hierarchy Process

scholarly journals Implications of a Spatial Multicriteria Decision Analysis for Urban Development in Ulaanbaatar, Mongolia

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Purevtseren Myagmartseren ◽  
Myagmarsuren Buyandelger ◽  
S. Anders Brandt
Keyword(s):  
Urban Development ◽  
Decision Analysis ◽  
Geographical Information Systems ◽  
New Technology ◽  
Multicriteria Decision Analysis ◽  
Geographical Information ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Elevation Data ◽  
Hierarchy Process

New technology has provided new tools for effective spatial planning. Through the example of locating suitable sites for urban development in Ulaanbaatar, this paper illustrates how multicriteria decision analysis and geographical information systems can be used for more effective urban planning. Several constraint and factor criteria were identified, transformed into map layers, and weighted together using the analytic hierarchy process. Besides localization results, this study shows the effect of using poor elevation data and how a sensitivity analysis can be applied to yield further information, spot weighting weaknesses, and assess the quality of the criteria.

scholarly journals LANDSLIDE SUSCEPTIBILITY MAPPING OF THE NORTHEASTERN PART OF ACHAIA PREFECTUREUSING ANALYTICAL HIERARCHICAL PROCESS AND GIS TECHNIQUES

2017 ◽  
Vol 43 (3) ◽  
pp. 1637
Author(s):  
D. Rozos ◽  
D.G. Bathrellos ◽  
D.H. Skilodimou
Keyword(s):  
Land Use Planning ◽  
Landslide Susceptibility ◽  
Landslide Susceptibility Mapping ◽  
Susceptibility Map ◽  
Landslide Susceptibility Map ◽  
Analytical Hierarchical Process ◽  
Stability Of Slopes ◽  
High Zone ◽  
Integrated Technique ◽  
The Individual

Landslides are one of the most frequent and disastrous natural hazards worldwide. Thus, the need of landslide susceptibility maps is of primary importance as they are both a useful tool for the land use planning and a necessary step for future development activities. This paper presents an integrated technique of analytical hierarchical process (AHP) and geographic information system (GIS) to create a landslide susceptibility map of the NE part of Achaia prefecture. The study area mainly consists of Neogene deposits and it is a part of the Corinthian graben, which characterized by intense neotectonic activity. Therefore, it is affected by many slope movements that usually cause serious damages in inhabitant areas and road networks. Based on field survey data analysis six parameters were chosen as major parameters that influence the stability of slopes to the direction of landslide manifestation. The AHP method identifies both the rate of the individual classes, and the weight of each factor. Spatial layers with their corresponding rates and weights were linearly combined to prepare the landslide susceptibility map, which includes four zones of slope movement’s susceptibility, namely a low, a moderate a high and a very high zone. The evaluation and final confirmation of the map was based on a great number of recorded landslides in the area.

scholarly journals Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 267 ◽  
Author(s):  
Abhirup Dikshit ◽  
Raju Sarkar ◽  
Biswajeet Pradhan ◽  
Ratiranjan Jena ◽  
Dowchu Drukpa ◽  
...  
Keyword(s):  
Landslide Susceptibility ◽  
Monsoon Season ◽  
Transportation Network ◽  
Probability Model ◽  
Warning System ◽  
Daily Rainfall ◽  
Rainfall Threshold ◽  
Landslide Susceptibility Mapping ◽  
Susceptibility Map ◽  
Analytic Hierarchy

Landslides are one of the major natural disasters that Bhutan faces every year. The monsoon season in Bhutan is usually marked by heavy rainfall, which leads to multiple landslides, especially across the highways, and affects the entire transportation network of the nation. The determinations of rainfall thresholds are often used to predict the possible occurrence of landslides. A rainfall threshold was defined along Samdrup Jongkhar–Trashigang highway in eastern Bhutan using cumulated event rainfall and antecedent rainfall conditions. Threshold values were determined using the available daily rainfall and landslide data from 2014 to 2017, and validated using the 2018 dataset. The threshold determined was used to estimate temporal probability using a Poisson probability model. Finally, a landslide susceptibility map using the analytic hierarchy process was developed for the highway to identify the sections of the highway that are more susceptible to landslides. The accuracy of the model was validated using the area under the receiver operating characteristic curves. The results presented here may be regarded as a first step towards understanding of landslide hazards and development of an early warning system for a region where such studies have not previously been conducted.

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