J. Sanyal
Hydraulic routing of extreme floods in a large ungauged river and the estimation of associated uncertainties: a case study of the Damodar River, India
Sanyal, J.; Carbonneau, P.; Densmore, A.L.
Authors
Dr Patrice Carbonneau patrice.carbonneau@durham.ac.uk
Associate Professor
Professor Alexander Densmore a.l.densmore@durham.ac.uk
Professor
Abstract
Many developing countries are very vulnerable to flood risk since they are located in climatic zones characterised by extreme precipitation events, such as cyclones and heavy monsoon rainfall. Adequate flood mitigation requires a routing mechanism that can predict the dynamics of flood waves as they travel from source to flood-prone areas, and thus allow for early warning and adequate flood defences. A number of cutting edge hydrodynamic models have been developed in industrialised countries that can predict the advance of flood waves efficiently. These models are not readily applicable to flood prediction in developing countries in Asia, Africa and Latin America, however, due to lack of data, particularly terrain and hydrological data. This paper explores the adaptations and adjustments that are essential to employ hydrodynamic models like LISFLOOD-FP to route very high-magnitude floods by utilising freely available Shuttle Radar Topographic Mission digital elevation model, available topographical maps and sparse network of river gauging stations. A 110 km reach of the lower Damodar River in eastern India was taken as the study area since it suffers from chronic floods caused by water release from upstream dams during intense monsoon storm events. The uncertainty in model outputs, which is likely to increase with coarse data inputs, was quantified in a generalised likelihood uncertainty estimation framework to demonstrate the level of confidence that one can have on such flood routing approaches. Validation results with an extreme flood event of 2009 reveal an encouraging index of agreement of 0.77 with observed records, while most of the observed time series records of a 2007 major flood were found to be within 95 % upper and lower uncertainty bounds of the modelled outcomes.
Citation
Sanyal, J., Carbonneau, P., & Densmore, A. (2013). Hydraulic routing of extreme floods in a large ungauged river and the estimation of associated uncertainties: a case study of the Damodar River, India. Natural Hazards, 66(2), 1153-1177. https://doi.org/10.1007/s11069-012-0540-7
Journal Article Type | Article |
---|---|
Publication Date | Mar 1, 2013 |
Deposit Date | Oct 9, 2013 |
Publicly Available Date | Oct 16, 2013 |
Journal | Natural Hazards |
Print ISSN | 0921-030X |
Electronic ISSN | 1573-0840 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 66 |
Issue | 2 |
Pages | 1153-1177 |
DOI | https://doi.org/10.1007/s11069-012-0540-7 |
Public URL | https://durham-repository.worktribe.com/output/1468293 |
Files
Accepted Journal Article
(1.5 Mb)
PDF
Copyright Statement
The original publication is available at www.springerlink.com
You might also like
Mapping riverbed sediment size from Sentinel‐2 satellite data
(2022)
Journal Article
Adopting deep learning methods for airborne RGB fluvial scene classification
(2020)
Journal Article
Remotely Sensed Rivers in the Anthropocene: State of the Art and Prospects
(2020)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search