Comparative assessment of water surface level using different discharge prediction models

Mokhtar, ES; Pradhan, B; Ghazali, AH; Shafri, HZM

Comparative assessment of water surface level using different discharge prediction models

Mokhtar, ES Pradhan, B

Ghazali, AH Shafri, HZM

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Publication Type:: Journal Article
Citation:: Natural Hazards, 2017, 87 (2), pp. 1125 - 1146
Issue Date:: 2017-06-01

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Field	Value	Language
dc.contributor.author	Mokhtar, ES	en_US
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054	en_US
dc.contributor.author	Ghazali, AH	en_US
dc.contributor.author	Shafri, HZM	en_US
dc.date.issued	2017-06-01	en_US
dc.identifier.citation	Natural Hazards, 2017, 87 (2), pp. 1125 - 1146	en_US
dc.identifier.issn	0921-030X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123496
dc.description.abstract	© 2017, Springer Science+Business Media Dordrecht. 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 R2 = 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.	en_US
dc.relation.ispartof	Natural Hazards	en_US
dc.relation.isbasedon	10.1007/s11069-017-2812-8	en_US
dc.subject.classification	Strategic, Defence & Security Studies	en_US
dc.title	Comparative assessment of water surface level using different discharge prediction models	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	87	en_US
utslib.for	0401 Atmospheric Sciences	en_US
utslib.for	0406 Physical Geography and Environmental Geoscience	en_US
utslib.for	1701 Psychology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	87	en_US

Abstract:

© 2017, Springer Science+Business Media Dordrecht. 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 R2 = 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.

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http://hdl.handle.net/10453/123496