Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment
Yashon O. Ouma,Ryutaro Tateishi +1 more
TLDR
In this paper, an integrated analytical hierarchy process (AHP) and Geographic Information System (GIS) analysis techniques are used for the case of Eldoret Municipality in Kenya.Abstract:
This study aims at providing expertise for preparing public-based flood mapping and estimating flood risks in growing urban areas. To model and predict the magnitude of flood risk areas, an integrated Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) analysis techniques are used for the case of Eldoret Municipality in Kenya. The flood risk vulnerability mapping follows a multi-parametric approach and integrates some of the flooding causative factors such as rainfall distribution, elevation and slope, drainage network and density, land-use/land-cover and soil type. From the vulnerability mapping, urban flood risk index (UFRI) for the case study area, which is determined by the degree of vulnerability and exposure is also derived. The results are validated using flood depth measurements, with a minimum average difference of 0.01 m and a maximum average difference of 0.37 m in depth of observed flooding in the different flood prone areas. Similarly with respect to area extents, a maximum error of not more than 8% was observed in the highly vulnerable flood zones. In addition, the Consistency Ratio which shows an acceptable level of 0.09 was calculated and further validated the strength of the proposed approach.read more
Citations
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Journal ArticleDOI
Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece
TL;DR: A comparison of the outcome with records of historical flood events confirmed that the proposed methodology provides valid results, and the sensitivity analysis concluded to a revised index FHIS (methodology named FIGusED-S) and flood mapping, supporting the robustness of FIGUSED methodology.
Journal ArticleDOI
A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique
TL;DR: In this paper, the authors used four models, namely frequency ratio (FR), weights-of-evidence (WofE), analytical hierarchy process (AHP), and ensemble of frequency ratio with AHP (FR-AHP) to compare them at Haraz Watershed in Mazandaran Province, Iran.
Journal ArticleDOI
Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
Hamid Darabi,Bahram Choubin,Omid Rahmati,Ali Torabi Haghighi,Biswajeet Pradhan,Biswajeet Pradhan,Bjørn Kløve +6 more
TL;DR: In this article, a flood risk map was produced with limited hydrological and hydraulic data using two state-of-the-art machine learning models: Genetic Algorithm Rule-Set Production (GARP) and Quick Unbiased Efficient Statistical Tree (QUEST).
Journal ArticleDOI
Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas
TL;DR: In this paper, the authors presented a reliable GIS multi-criteria methodology for hazard zones' mapping of flood-prone areas in urban areas based on the combined application of geographical information systems (GIS) and multicriteria decision analysis (MCDA).
Journal ArticleDOI
Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire)
Jean Homian Danumah,Samuel Nii Odai,Bachir Saley,Joerg Szarzynski,Michael Thiel,Adjei Kwaku,Fernand Koffi Kouame,Lucette You Akpa +7 more
TL;DR: In this paper, the authors identify, and map areas of flood risk in Abidjan district based on the integration of multi-criteria data including slope, drainage density, type of soil, Isohyet, population density, land use and sewer system density within ArcGIS interface.
References
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Book ChapterDOI
The Analytic Hierarchy Process
Thomas L. Saaty,Kevin P. Kearns +1 more
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Journal ArticleDOI
Decision making with the analytic hierarchy process
TL;DR: The Analytic Hierarchy Process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales that measure intangibles in relative terms.
Journal Article
Decision Making with the Analytic Hierarchy Process
TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales, these scales are these scales that measure intangibles in relative terms.
Journal ArticleDOI
Analytic hierarchy process : An overview of applications
TL;DR: A literature review of the applications of Analytic Hierarchy Process, which aims to provide a ready reference on AHP, and act as an informative summary kit for the researchers and practitioners for their future work.
Journal ArticleDOI
The Analytic Hierarchy Process—A Survey of the Method and its Applications
TL;DR: In this article, the analytic hierarchy process (AHP) and its applications in diverse decision problems are briefly reviewed and some of the major extensions and criticisms of the method are discussed.
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