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Comparative assessment of water surface level using different discharge prediction models

Discharge is traditionally measured at gauge stations located at discrete positions along the river course. When the volume of water discharge is higher than the river bank, inundation to adjacent land occurs. Flood inundation mapping has largely relied on in situ discharge data. However, it cannot...

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Main Authors: Mokhtar, Ernieza Suhana, Pradhan, Biswajeet, Ghazali, Abdul Halim, Mohd Shafri, Helmi Zulhaidi
Format: Article
Language:English
Published: Springer 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64635/1/Comparative%20assessment%20of%20water%20surface%20level%20using%20different%20discharge%20prediction%20models.pdf
http://psasir.upm.edu.my/id/eprint/64635/
https://link.springer.com/article/10.1007/s11069-017-2812-8
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spelling my.upm.eprints.646352018-08-13T03:16:38Z http://psasir.upm.edu.my/id/eprint/64635/ Comparative assessment of water surface level using different discharge prediction models Mokhtar, Ernieza Suhana Pradhan, Biswajeet Ghazali, Abdul Halim Mohd Shafri, Helmi Zulhaidi Discharge is traditionally measured at gauge stations located at discrete positions along the river course. When the volume of water discharge is higher than the river bank, inundation to adjacent land occurs. Flood inundation mapping has largely relied on in situ discharge data. However, it cannot be accessed at ungauged sites. In recent literature, no comparative study on the impact of water level using different discharge models has been carried out. This paper evaluates the performance of three empirical formulas for discharge measurement to model flood inundation along Padang Terap River in Kedah, Malaysia, between October 31, 2010 and November 4, 2010. Water discharge was computed using three models, and the Manning-n values were assigned to the types of land use. Further, the rainfall obtained from gauge stations was interpolated using the Kriging interpolation method. Relative error and RMSE methods were used to evaluate the measured and predicted water surface elevation. The impact of predicted water surface elevation (WSE) from different land use types and terrain information was assessed. Dingman and Sharma’s model significantly presented good agreement between measured and predicted WSE with R 2 = 0.8034, followed by Manning and Bjerklie equations with 0.8024 and 0.7997, respectively. Moreover, Dingman and Sharma’s model produced less RE and RMSE with 13.09% and 2.27 m compared with the others. Therefore, the estimated discharge can be used in ungauged sites for flood inundation modeling. Manning-n, elevation, and slope affected the WSE. Springer 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64635/1/Comparative%20assessment%20of%20water%20surface%20level%20using%20different%20discharge%20prediction%20models.pdf Mokhtar, Ernieza Suhana and Pradhan, Biswajeet and Ghazali, Abdul Halim and Mohd Shafri, Helmi Zulhaidi (2017) Comparative assessment of water surface level using different discharge prediction models. Natural Hazards, 87 (2). pp. 1125-1146. ISSN 0921-030X; ESSN: 1573-0840 https://link.springer.com/article/10.1007/s11069-017-2812-8 10.1007/s11069-017-2812-8
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Discharge is traditionally measured at gauge stations located at discrete positions along the river course. When the volume of water discharge is higher than the river bank, inundation to adjacent land occurs. Flood inundation mapping has largely relied on in situ discharge data. However, it cannot be accessed at ungauged sites. In recent literature, no comparative study on the impact of water level using different discharge models has been carried out. This paper evaluates the performance of three empirical formulas for discharge measurement to model flood inundation along Padang Terap River in Kedah, Malaysia, between October 31, 2010 and November 4, 2010. Water discharge was computed using three models, and the Manning-n values were assigned to the types of land use. Further, the rainfall obtained from gauge stations was interpolated using the Kriging interpolation method. Relative error and RMSE methods were used to evaluate the measured and predicted water surface elevation. The impact of predicted water surface elevation (WSE) from different land use types and terrain information was assessed. Dingman and Sharma’s model significantly presented good agreement between measured and predicted WSE with R 2 = 0.8034, followed by Manning and Bjerklie equations with 0.8024 and 0.7997, respectively. Moreover, Dingman and Sharma’s model produced less RE and RMSE with 13.09% and 2.27 m compared with the others. Therefore, the estimated discharge can be used in ungauged sites for flood inundation modeling. Manning-n, elevation, and slope affected the WSE.
format Article
author Mokhtar, Ernieza Suhana
Pradhan, Biswajeet
Ghazali, Abdul Halim
Mohd Shafri, Helmi Zulhaidi
spellingShingle Mokhtar, Ernieza Suhana
Pradhan, Biswajeet
Ghazali, Abdul Halim
Mohd Shafri, Helmi Zulhaidi
Comparative assessment of water surface level using different discharge prediction models
author_facet Mokhtar, Ernieza Suhana
Pradhan, Biswajeet
Ghazali, Abdul Halim
Mohd Shafri, Helmi Zulhaidi
author_sort Mokhtar, Ernieza Suhana
title Comparative assessment of water surface level using different discharge prediction models
title_short Comparative assessment of water surface level using different discharge prediction models
title_full Comparative assessment of water surface level using different discharge prediction models
title_fullStr Comparative assessment of water surface level using different discharge prediction models
title_full_unstemmed Comparative assessment of water surface level using different discharge prediction models
title_sort comparative assessment of water surface level using different discharge prediction models
publisher Springer
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/64635/1/Comparative%20assessment%20of%20water%20surface%20level%20using%20different%20discharge%20prediction%20models.pdf
http://psasir.upm.edu.my/id/eprint/64635/
https://link.springer.com/article/10.1007/s11069-017-2812-8
_version_ 1643838080303497216
score 13.211869

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