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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:22)
Article Information:

Flood Susceptibility Modeling: A Geo-spatial Technology Multi-criteria Decision Analysis Approach

Dano Umar Lawal, Abdul-Nasir Matori, Khamaruzaman Wan Yusof, Ahmad Mustafa Hashim, Mansir Aminu, Soheil Sabri, Abdul-Lateef Balogun, Imtiaz Ahmed Chandio and
Corresponding Author:  Dano Umar Lawal 
Submitted: April 11, 2013
Accepted: June 08, 2013
Published: June 10, 2014
Abstract:
Understanding the surface and subsurface condition can immensely enhance the availability of accurate flood susceptibility maps for effective management of flood catastrophe. In this study, remote sensing and Geographic Information System-based (GIS-based) Multi-Criteria Decision Analysis (MCDA) based on experts’ opinions has been adopted to carry out the preparedness phase of flood management. Establishing a link between the surface/subsurface conditions and flood occurrence is the major objective of this study. The surface/subsurface investigations showed that the lowland areas of the study area are characterized by the presence of flat slope, alluvium deposits and low humid clay soil composition. The GIS-based Analytic Hierarchy Process (AHP) model was adopted in simulating the flood susceptible zones map of the study area. Finally, the result revealed that flood generation in the area immensely relied on slope, geology and soil type along with rainfall as the key catalyst.

Key words:  Flood susceptibility mapping, GIS-based multi-criteria decision analysis, remote sensing, surface/ subsurface factors, , ,
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Cite this Reference:
Dano Umar Lawal, Abdul-Nasir Matori, Khamaruzaman Wan Yusof, Ahmad Mustafa Hashim, Mansir Aminu, Soheil Sabri, Abdul-Lateef Balogun, Imtiaz Ahmed Chandio and , . Flood Susceptibility Modeling: A Geo-spatial Technology Multi-criteria Decision Analysis Approach. Research Journal of Applied Sciences, Engineering and Technology, (22): 4638-4644.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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