Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli

This study aims to develop a flood susceptibility map for the entire state of Terengganu using Geographic Information Systems (GIS) and Analytical Hierarchy Process (AHP). The selected influencing factors include slope, elevation, rainfall, distance from streams and drainage density. These factors w...

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Main Author: Zulkifli, Nur Zul Alya
Format: Thesis
Language:English
Published: 2024
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Online Access:https://ir.uitm.edu.my/id/eprint/106014/1/106014.pdf
https://ir.uitm.edu.my/id/eprint/106014/
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spelling my.uitm.ir.1060142024-11-30T23:03:27Z https://ir.uitm.edu.my/id/eprint/106014/ Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli Zulkifli, Nur Zul Alya Fuzzy decision making This study aims to develop a flood susceptibility map for the entire state of Terengganu using Geographic Information Systems (GIS) and Analytical Hierarchy Process (AHP). The selected influencing factors include slope, elevation, rainfall, distance from streams and drainage density. These factors were evaluated using AHP to rank their contributions to flooding. The AHP results indicate that the flood hazard in Terengganu is mainly influenced by rainfall with 48%, followed by elevation with 24%, slope with 17%, distance from streams with 7% and drainage density contributing 4%. These weights were assigned to each factor based on the AHP results, and the layers were combined using the Weighted Overlay tool in ArcGIS to create a composite flood susceptibility map, highlighting areas with varying degrees of flood risk. High flood susceptibility was recorded as the highest percentage of area at 36.43%, followed by moderate with 30.12%, very high with 18.77%, low with 14.34% and very low with 0.34%. The Area Under Curve (AUC) method was used to further validate the results, requiring the flood susceptibility map and historical flood inventory data. The calculated AUC result was 0.5, indicating low accuracy and suggesting that while the map provides some insights, there is significant room for improvement in predicting flood risks. 2024 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/106014/1/106014.pdf Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli. (2024) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Fuzzy decision making
spellingShingle Fuzzy decision making
Zulkifli, Nur Zul Alya
Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli
description This study aims to develop a flood susceptibility map for the entire state of Terengganu using Geographic Information Systems (GIS) and Analytical Hierarchy Process (AHP). The selected influencing factors include slope, elevation, rainfall, distance from streams and drainage density. These factors were evaluated using AHP to rank their contributions to flooding. The AHP results indicate that the flood hazard in Terengganu is mainly influenced by rainfall with 48%, followed by elevation with 24%, slope with 17%, distance from streams with 7% and drainage density contributing 4%. These weights were assigned to each factor based on the AHP results, and the layers were combined using the Weighted Overlay tool in ArcGIS to create a composite flood susceptibility map, highlighting areas with varying degrees of flood risk. High flood susceptibility was recorded as the highest percentage of area at 36.43%, followed by moderate with 30.12%, very high with 18.77%, low with 14.34% and very low with 0.34%. The Area Under Curve (AUC) method was used to further validate the results, requiring the flood susceptibility map and historical flood inventory data. The calculated AUC result was 0.5, indicating low accuracy and suggesting that while the map provides some insights, there is significant room for improvement in predicting flood risks.
format Thesis
author Zulkifli, Nur Zul Alya
author_facet Zulkifli, Nur Zul Alya
author_sort Zulkifli, Nur Zul Alya
title Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli
title_short Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli
title_full Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli
title_fullStr Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli
title_full_unstemmed Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli
title_sort flood susceptibility mapping using analytical hierarchy process and geographic information systems with validation using area under curve in terengganu / nur zul alya zulkifli
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/106014/1/106014.pdf
https://ir.uitm.edu.my/id/eprint/106014/
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score 13.222552