eprintid: 5237
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/52/37
datestamp: 2023-11-09 16:16:57
lastmod: 2023-11-09 16:16:57
status_changed: 2023-11-09 16:01:02
type: article
metadata_visibility: show
creators_name: Matori, A.N.
creators_name: Lawal, D.U.
title: Flood disaster forecasting: A GIS-based group analytic hierarchy process approach
ispublished: pub
keywords: Analytic hierarchy process; Flood control; Geographic information systems, Analytic hierarchy; Analytic hierarchy process (ahp); Flood forecasting models; Flood simulation; Geometric mean method; Radar satellite data; Spatial simulation; Technology-based, Floods
note: cited By 5
abstract: Geographic Information System (GIS) was integrated with Group Analytic Hierarchy Process (GAHP) to facilitate the simulation of flood likely areas based on a total number of five set of criteria/factors believed to be triggering flood generation in the study area. Two categories of experts namely hydrologists and geologists were considered. Saaty's 1-9 scale of preference was employed in rating each factor's influence in flood generation and the ratings from the experts were aggregated using a Geometric Mean method. Having done with the aggregation, priory weights of the factors were calculated; weights were further normalized through the Analytic Hierarchy Process (AHP). The result was further integrated into GIS system for spatial simulation of the likely flood areas. The result forecasted 39.1 of the total area to be very highly susceptible to flooding. Validation was carried out by superimposing the known flood extent map from radar satellite data over the flood forecasting model developed herein. © (2014) Trans Tech Publications, Switzerland.
date: 2014
publisher: Trans Tech Publications Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903533903&doi=10.4028%2fwww.scientific.net%2fAMM.567.717&partnerID=40&md5=8834c87c5a3fb6707968a24a8816c2c1
id_number: 10.4028/www.scientific.net/AMM.567.717
full_text_status: none
publication: Applied Mechanics and Materials
volume: 567
pagerange: 717-723
refereed: TRUE
isbn: 9783038351238
issn: 16609336
citation:   Matori, A.N. and Lawal, D.U.  (2014) Flood disaster forecasting: A GIS-based group analytic hierarchy process approach.  Applied Mechanics and Materials, 567.  pp. 717-723.  ISSN 16609336