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
Subjects:	Fuzzy decision making
Online Access:	https://ir.uitm.edu.my/id/eprint/106014/1/106014.pdf
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id	my-uitm-ir.106014
record_format	uketd_dc
spelling	my-uitm-ir.1060142024-11-30T23:03:27Z Flood susceptibility mapping using analytical hierarchy process and Geographic Information Systems with validation using area under curve in Terengganu / Nur Zul Alya Zulkifli 2024 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 https://ir.uitm.edu.my/id/eprint/106014/ https://ir.uitm.edu.my/id/eprint/106014/1/106014.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Mat Ripin, Rohayati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mat Ripin, Rohayati
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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/106014/1/106014.pdf
_version_	1818588166403129344

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

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