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Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM

Topography dataset is an important input in performing flood inundation modelling. However, it is always difficult to obtain high resolution topography that provide accurate elevation information. Fortunately, there are some open source topography datasets available with reasonable resolution such a...

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Main Authors: Ng, Z. F., Gisen, J. I. A., Akbari, Abolghasem
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2018
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/22697/1/Flood%20inundation%20modelling%20in%20the%20Kuantan%20River%20Basin%20using%201D-2D%20Flood%20Modeller%20coupled%20with%20ASTER-GDEM.pdf
http://umpir.ump.edu.my/id/eprint/22697/
https://doi.org/10.1088/1757-899X/318/1/012024
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spelling my.ump.umpir.226972019-04-10T04:37:08Z http://umpir.ump.edu.my/id/eprint/22697/ Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM Ng, Z. F. Gisen, J. I. A. Akbari, Abolghasem TA Engineering (General). Civil engineering (General) Topography dataset is an important input in performing flood inundation modelling. However, it is always difficult to obtain high resolution topography that provide accurate elevation information. Fortunately, there are some open source topography datasets available with reasonable resolution such as SRTM and ASTER-GDEM. In Malaysia particularly in Kuantan, the modelling research on the floodplain area is still lacking. This research aims to: a) to investigate the suitability of ASTER-GDEM to be applied in the 1D-2D flood inundation modelling for the Kuantan River Basin; b) to generate flood inundation map for Kuantan river basin. The topography dataset used in this study is ASTER-GDEM to generate physical characteristics of watershed in the basin. It is used to perform rainfall runoff modelling for hydrological studies and to delineate flood inundation area in the Flood Modeller. The results obtained have shown that a 30m resolution ASTER-GDEM is applicable as an input for the 1D-2D flood modelling. The simulated water level in 2013 has NSE of 0.644 and RSME of 1.259. As a conclusion, ASTER-GDEM can be used as one alternative topography datasets for flood inundation modelling. However, the flood level obtained from the hydraulic modelling shows low accuracy at flat urban areas. IOP Publishing 2018-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22697/1/Flood%20inundation%20modelling%20in%20the%20Kuantan%20River%20Basin%20using%201D-2D%20Flood%20Modeller%20coupled%20with%20ASTER-GDEM.pdf Ng, Z. F. and Gisen, J. I. A. and Akbari, Abolghasem (2018) Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM. In: Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2015, 11-13 October 2015 , Johor Bahru, Johor, Malaysia. pp. 1-9., 318 (1). ISSN 1757-8981 https://doi.org/10.1088/1757-899X/318/1/012024
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Ng, Z. F.
Gisen, J. I. A.
Akbari, Abolghasem
Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM
description Topography dataset is an important input in performing flood inundation modelling. However, it is always difficult to obtain high resolution topography that provide accurate elevation information. Fortunately, there are some open source topography datasets available with reasonable resolution such as SRTM and ASTER-GDEM. In Malaysia particularly in Kuantan, the modelling research on the floodplain area is still lacking. This research aims to: a) to investigate the suitability of ASTER-GDEM to be applied in the 1D-2D flood inundation modelling for the Kuantan River Basin; b) to generate flood inundation map for Kuantan river basin. The topography dataset used in this study is ASTER-GDEM to generate physical characteristics of watershed in the basin. It is used to perform rainfall runoff modelling for hydrological studies and to delineate flood inundation area in the Flood Modeller. The results obtained have shown that a 30m resolution ASTER-GDEM is applicable as an input for the 1D-2D flood modelling. The simulated water level in 2013 has NSE of 0.644 and RSME of 1.259. As a conclusion, ASTER-GDEM can be used as one alternative topography datasets for flood inundation modelling. However, the flood level obtained from the hydraulic modelling shows low accuracy at flat urban areas.
format Conference or Workshop Item
author Ng, Z. F.
Gisen, J. I. A.
Akbari, Abolghasem
author_facet Ng, Z. F.
Gisen, J. I. A.
Akbari, Abolghasem
author_sort Ng, Z. F.
title Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM
title_short Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM
title_full Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM
title_fullStr Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM
title_full_unstemmed Flood inundation modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM
title_sort flood inundation modelling in the kuantan river basin using 1d-2d flood modeller coupled with aster-gdem
publisher IOP Publishing
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22697/1/Flood%20inundation%20modelling%20in%20the%20Kuantan%20River%20Basin%20using%201D-2D%20Flood%20Modeller%20coupled%20with%20ASTER-GDEM.pdf
http://umpir.ump.edu.my/id/eprint/22697/
https://doi.org/10.1088/1757-899X/318/1/012024
_version_ 1643669452455149568
score 13.211869

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