Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia

Nowadays, a risk-based flood mitigation concept has received more attention rather than the conventional flood control approach in reducing the impacts of flooding. With the intention to assist in the management of flood risk, flood modeling is useful in providing information on the flood extent and...

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Main Authors: Noor Suraya, Romali, Zulkifli, Yusop, Ahmad Zuhdi, Ismail
Format: Article
Language:English
Published: GEOMATE International Society 2018
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Online Access:http://umpir.ump.edu.my/id/eprint/20992/1/Application%20of%20HC-RAS%20and%20ARC%20GIS%20for%20floodplain%20mapping%20in%20Segamat%20Town%2C%20Malaysia.pdf
http://umpir.ump.edu.my/id/eprint/20992/
http://www.geomatejournal.com/sites/default/files/articles/125-131-3656-Suraya-March-2017.pdf
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spelling my.ump.umpir.209922018-08-17T03:27:12Z http://umpir.ump.edu.my/id/eprint/20992/ Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia Noor Suraya, Romali Zulkifli, Yusop Ahmad Zuhdi, Ismail TA Engineering (General). Civil engineering (General) Nowadays, a risk-based flood mitigation concept has received more attention rather than the conventional flood control approach in reducing the impacts of flooding. With the intention to assist in the management of flood risk, flood modeling is useful in providing information on the flood extent and flood characteristics. This paper presents the application of HEC-RAS model to the development of floodplain maps for an urban area in Segamat town in Malaysia. The analysis used Interferometric Synthetic Aperture Radar (IFSAR) as the main modeling input data. Five distribution models, namely Generalized Pareto, Generalized Extreme Value, Log-Pearson 3, Log-Normal (3P) and Weibull (3P) were tested in flood frequency analysis to calculate extreme flows with different return periods. Using Kolmogorov-Smirnov (KS) test, the Generalized Pareto was found to be the best distribution for the Segamat River. The peak floods from frequency analysis for selected return periods were input into the HEC-RAS model to find the expected corresponding flood levels. Results obtained from HEC-RAS model were used in ArcGIS to prepare floodplain maps for different return periods. The results indicated that most of the inundated areas in the simulated 100 year return period were also affected by 2011 historical floods. For 100 years flood simulation, the inundated area was almost 5 times larger than the simulated 10 years’ flood. GEOMATE International Society 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20992/1/Application%20of%20HC-RAS%20and%20ARC%20GIS%20for%20floodplain%20mapping%20in%20Segamat%20Town%2C%20Malaysia.pdf Noor Suraya, Romali and Zulkifli, Yusop and Ahmad Zuhdi, Ismail (2018) Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia. International Journal of GEOMATE, 14 (43). pp. 125-131. ISSN 2186-2982 (print); 2186-2990(online) http://www.geomatejournal.com/sites/default/files/articles/125-131-3656-Suraya-March-2017.pdf 10.21660/2018.43.3656
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)
Noor Suraya, Romali
Zulkifli, Yusop
Ahmad Zuhdi, Ismail
Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia
description Nowadays, a risk-based flood mitigation concept has received more attention rather than the conventional flood control approach in reducing the impacts of flooding. With the intention to assist in the management of flood risk, flood modeling is useful in providing information on the flood extent and flood characteristics. This paper presents the application of HEC-RAS model to the development of floodplain maps for an urban area in Segamat town in Malaysia. The analysis used Interferometric Synthetic Aperture Radar (IFSAR) as the main modeling input data. Five distribution models, namely Generalized Pareto, Generalized Extreme Value, Log-Pearson 3, Log-Normal (3P) and Weibull (3P) were tested in flood frequency analysis to calculate extreme flows with different return periods. Using Kolmogorov-Smirnov (KS) test, the Generalized Pareto was found to be the best distribution for the Segamat River. The peak floods from frequency analysis for selected return periods were input into the HEC-RAS model to find the expected corresponding flood levels. Results obtained from HEC-RAS model were used in ArcGIS to prepare floodplain maps for different return periods. The results indicated that most of the inundated areas in the simulated 100 year return period were also affected by 2011 historical floods. For 100 years flood simulation, the inundated area was almost 5 times larger than the simulated 10 years’ flood.
format Article
author Noor Suraya, Romali
Zulkifli, Yusop
Ahmad Zuhdi, Ismail
author_facet Noor Suraya, Romali
Zulkifli, Yusop
Ahmad Zuhdi, Ismail
author_sort Noor Suraya, Romali
title Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia
title_short Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia
title_full Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia
title_fullStr Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia
title_full_unstemmed Application of HEC-RAS and Arc GIS for floodplain mapping in Segamat town, Malaysia
title_sort application of hec-ras and arc gis for floodplain mapping in segamat town, malaysia
publisher GEOMATE International Society
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/20992/1/Application%20of%20HC-RAS%20and%20ARC%20GIS%20for%20floodplain%20mapping%20in%20Segamat%20Town%2C%20Malaysia.pdf
http://umpir.ump.edu.my/id/eprint/20992/
http://www.geomatejournal.com/sites/default/files/articles/125-131-3656-Suraya-March-2017.pdf
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score 13.18916