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     Research Journal of Applied Sciences, Engineering and Technology


Group-based Decision Support for Flood Hazard Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach

1Dano Umar Lawal, 2Abdul-Nasir Matori, 1Khamaruzaman Wan Yusof, 1Ahmad Mustafa Hashim, 1Mansir Aminu, 2SoheilSabri, 1Abdul-Lateef Balogun, 1Imtiaz Ahmed Chandio and 1Munirah Radin Mohd Mokhtar
1Department of Civil Engineering, Universiti Teknologi PETRONAS
2Department of Urban and Regional Planning, Universiti Teknologi Malaysia, Malaysia
Research Journal of Applied Sciences, Engineering and Technology  2014  23:4838-4850
http://dx.doi.org/10.19026/rjaset.7.873  |  © The Author(s) 2014
Received: April 12, 2013  |  Accepted: June 08, 2013  |  Published: June 20, 2014

Abstract

A Geospatial Technology-based Group Analytic Hierarchy Process (GAHP) was carried out to forecast the likely flooded areas based on a total number of five set of criteria/factors believed to be influencing flood generation in the study area. The GAHP is based on two categories of experts (hydrologists and geologists). Priority weights were assigned to each criterion/factor based on Saaty’s 9 point scale of preference by the experts and weights were further normalized through the AHP. The ranking given by the two experts were further integrated into GIS environment to come up with the flood forecasting map for the area. These results were further validated using the known Flood Extent Extraction Model developed based on a Minimum Distance Algorithm embedded in ENVI 4.8 software and the Consistency Ratio (CR). Image overlay was carried out in ArcGIS 9.3 software of the two results with the known Flood Extent Extraction Model developed herein. The ranking given by the hydrologists demonstrated a high degree of correlation compared to what is on the ground.

Keywords:

Flood susceptibility mapping, geospatial technology-based group analytic hierarchy process, remote sensing,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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