eprintid: 4892
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/48/92
datestamp: 2023-11-09 16:16:36
lastmod: 2023-11-09 16:16:36
status_changed: 2023-11-09 15:59:49
type: conference_item
metadata_visibility: show
creators_name: Matori, A.N.
creators_name: Lawal, D.U.
creators_name: Yusof, K.W.
creators_name: Hashim, M.A.
creators_name: Balogun, A.-L.
title: Spatial analytic hierarchy process model for flood forecasting: An integrated approach
ispublished: pub
keywords: Analytic hierarchy process; Flood control; Forecasting; Geographic information systems; Hierarchical systems; Remote sensing, Analytic hierarchy; Analytic hierarchy process (ahp); Drainage density; Flood forecasting; Flood hazard assessment; Forecasting tools; Integrated approach; Subsurface conditions, Floods, climate modeling; flood forecasting; GIS; hazard assessment; hierarchical system; integrated approach; mapping; spatial analysis
note: cited By 18; Conference of 7th IGRSM International Conference and Exhibition on Remote Sensing and GIS, IGRSM 2014 ; Conference Date: 21 April 2014 Through 22 April 2014; Conference Code:108174
abstract: Various flood influencing factors such as rainfall, geology, slope gradient, land use, soil type, drainage density, temperature etc. are generally considered for flood hazard assessment. However, lack of appropriate handling/integration of data from different sources is a challenge that can make any spatial forecasting difficult and inaccurate. Availability of accurate flood maps and thorough understanding of the subsurface conditions can adequately enhance flood disasters management. This study presents an approach that attempts to provide a solution to this drawback by combining Geographic Information System (GIS)-based Analytic Hierarchy Process (AHP) model as spatial forecasting tools. In achieving the set objectives, spatial forecasting of flood susceptible zones in the study area was made. A total number of five set of criteria/factors believed to be influencing flood generation in the study area were selected. Priority weights were assigned to each criterion/factor based on Saaty's nine point scale of preference and weights were further normalized through the AHP. The model was integrated into a GIS system in order to produce a flood forecasting map. © Published under licence by IOP Publishing Ltd.
date: 2014
publisher: Institute of Physics Publishing
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906539492&doi=10.1088%2f1755-1315%2f20%2f1%2f012029&partnerID=40&md5=9620cdb9c8b1a6eb9db57c2ebb4b62c2
id_number: 10.1088/1755-1315/20/1/012029
full_text_status: none
publication: IOP Conference Series: Earth and Environmental Science
volume: 20
number: 1
place_of_pub: Kuala Lumpur
refereed: TRUE
issn: 17551307
citation:   Matori, A.N. and Lawal, D.U. and Yusof, K.W. and Hashim, M.A. and Balogun, A.-L.  (2014) Spatial analytic hierarchy process model for flood forecasting: An integrated approach.  In: UNSPECIFIED.