Challenge in Flood Forecasting Using Rating Curve of Unstable River Systems: The Brahmaputra

Islam, MA; Ball, JE; Zaman, AM; Rahman, SMM

Challenge in Flood Forecasting Using Rating Curve of Unstable River Systems: The Brahmaputra

Islam, MA Ball, JE

Zaman, AM Rahman, SMM

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Publisher:: IAHR & USAINS HOLDING SDN BHD
Publication Type:: Conference Proceeding
Citation:: 37th World Congress of IAHR (International Association for Hydro-Environment Engineering and Research), 2017, pp. 4331 - 4336
Issue Date:: 2017-08-13

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Field	Value	Language
dc.contributor.author	Islam, MA	en_US
dc.contributor.author	Ball, JE https://orcid.org/0000-0001-8342-1916	en_US
dc.contributor.author	Zaman, AM	en_US
dc.contributor.author	Rahman, SMM	en_US
dc.date	2017-08-13	en_US
dc.date.issued	2017-08-13	en_US
dc.identifier.citation	37th World Congress of IAHR (International Association for Hydro-Environment Engineering and Research), 2017, pp. 4331 - 4336	en_US
dc.identifier.issn	2521-7127	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118934
dc.description.abstract	A reliable and comprehensive flood warning system is one of the key factors to minimize damage and disruption create by a flood. Ganges and Brahmaputra is the major river system of Bangladesh and authorities of Bangladesh use gauging data of this two rivers for their flood forecasting. This study only focuses on Brahmaputra River, which is still a morphologically very active river. This paper discusses how the prediction can be biased using conventional method for flood prediction, i.e. using only stage-discharge relationship. In this study, we used 1,687 observations (discharge, water level, river width and cross-sectional area) at Bahadurabad station of Brahmaputra River selected from 1976 to 2009. We examined the stationarity of river cross-section and water level-discharge relationship. The study shows that the relationship between water level and river flow changes every year significantly and without any indication which way it may change in the next year. The relationship of stage discharge is so wide that the river may experience approximately double of the calculated flow. Therefore, river water management and flood forecasting would require comprehensive method rather than relying only on stage discharge correlation. Moreover, there is also trend in river geometry which may create more uncertainty in flood forecasting.	en_US
dc.publisher	IAHR & USAINS HOLDING SDN BHD	en_US
dc.relation.ispartof	37th World Congress of IAHR (International Association for Hydro-Environment Engineering and Research)	en_US
dc.relation.ispartof	World Congress of International Association for Hydro-Environment Engineering and Research	en_US
dc.title	Challenge in Flood Forecasting Using Rating Curve of Unstable River Systems: The Brahmaputra	en_US
dc.type	Conference Proceeding
utslib.location	Kuala Lumpur	en_US
utslib.location.activity	Kuala Lumpur	en_US
utslib.for	0907 Environmental Engineering	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 Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2017-08-18	en_US
pubs.place-of-publication	Kuala Lumpur	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2017-08-13	en_US

Abstract:

A reliable and comprehensive flood warning system is one of the key factors to minimize damage and disruption create by a flood. Ganges and Brahmaputra is the major river system of Bangladesh and authorities of Bangladesh use gauging data of this two rivers for their flood forecasting. This study only focuses on Brahmaputra River, which is still a morphologically very active river. This paper discusses how the prediction can be biased using conventional method for flood prediction, i.e. using only stage-discharge relationship. In this study, we used 1,687 observations (discharge, water level, river width and cross-sectional area) at Bahadurabad station of Brahmaputra River selected from 1976 to 2009. We examined the stationarity of river cross-section and water level-discharge relationship. The study shows that the relationship between water level and river flow changes every year significantly and without any indication which way it may change in the next year. The relationship of stage discharge is so wide that the river may experience approximately double of the calculated flow. Therefore, river water management and flood forecasting would require comprehensive method rather than relying only on stage discharge correlation. Moreover, there is also trend in river geometry which may create more uncertainty in flood forecasting.

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http://hdl.handle.net/10453/118934