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

Dano Lawal, Umar and Matori , Abdul-Nasir and Wan Yusof , Khamaruzaman and Mustafa Hashim, Ahmad and Aminu, Mansir and Sabri , Soheil and Balogun, Abdul-Lateef and Ahmed Chandio, Imtiaz and Radin Mohd Mokhtar, Munirah (2013) Group-based Decision Support for Flood Hazard Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach. Research Journal of Applied Sciences, Engineering and Technology. ISSN 2040-7467 (In Press)

[thumbnail of Dano RJASET 02.docx] Microsoft Word
Dano RJASET 02.docx

Download (1MB)

Abstract

A Geospatial Technology-based Group Analytic Hierarchy Process (GAHP) is 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 the 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 results of 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). Overlay was carried out in ArcGIS 9.3 software of the two results with the known Flood Extent Extraction Model developed based on a Minimum Distance Algorithm. The hydrologists’ preferences show a better correlation with what is on ground.

Item Type: Article
Impact Factor: SJR Impact Factor: 0.15
Departments / MOR / COE: Departments > Civil Engineering
Depositing User: Assoc Prof Dr Abd Nassir Matori
Date Deposited: 16 Dec 2013 23:48
Last Modified: 20 Mar 2017 08:35
URI: http://scholars.utp.edu.my/id/eprint/10770

Actions (login required)

View Item
View Item