group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach

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 (hydrologis...

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Main Authors: Lawal, D.U., Matori, A.-N., Yusof, K.W., Hashim, A.M., Aminu, M., Sabri, S., Balogun, A.-L., Chandio, I.A., Mokhtar, M.R.M.
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Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32176 /
Published: Maxwell Science Publications 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906088852&doi=10.19026%2frjaset.7.873&partnerID=40&md5=c2c5e347f77342d93eab3492b130c1ad
http://eprints.utp.edu.my/32176/
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spelling utp-eprints.321762022-03-29T05:01:02Z group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach Lawal, D.U. Matori, A.-N. Yusof, K.W. Hashim, A.M. Aminu, M. Sabri, S. Balogun, A.-L. Chandio, I.A. Mokhtar, M.R.M. 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. © Maxwell Scientific Organization, 2014. Maxwell Science Publications 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906088852&doi=10.19026%2frjaset.7.873&partnerID=40&md5=c2c5e347f77342d93eab3492b130c1ad Lawal, D.U. and Matori, A.-N. and Yusof, K.W. and Hashim, A.M. and Aminu, M. and Sabri, S. and Balogun, A.-L. and Chandio, I.A. and Mokhtar, M.R.M. (2014) 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, 7 (23). pp. 4838-4850. http://eprints.utp.edu.my/32176/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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. © Maxwell Scientific Organization, 2014.
format Article
author Lawal, D.U.
Matori, A.-N.
Yusof, K.W.
Hashim, A.M.
Aminu, M.
Sabri, S.
Balogun, A.-L.
Chandio, I.A.
Mokhtar, M.R.M.
spellingShingle Lawal, D.U.
Matori, A.-N.
Yusof, K.W.
Hashim, A.M.
Aminu, M.
Sabri, S.
Balogun, A.-L.
Chandio, I.A.
Mokhtar, M.R.M.
group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach
author_sort Lawal, D.U.
title group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach
title_short group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach
title_full group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach
title_fullStr group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach
title_full_unstemmed group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach
title_sort group-based decision support for flood hazard forecasting: a geospatial technology-based group analytic hierarchy process approach
publisher Maxwell Science Publications
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906088852&doi=10.19026%2frjaset.7.873&partnerID=40&md5=c2c5e347f77342d93eab3492b130c1ad
http://eprints.utp.edu.my/32176/
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score 11.62408

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