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Modelling the Flood-risk Extent Using Lisflood-fp in a Complex Watershed: Case Study of Mundeni Aru River Basin, Sri Lanka : Volume 370, Issue 370 (11/06/2015)

By Amarnath, G.

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Book Id: WPLBN0004021381
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Modelling the Flood-risk Extent Using Lisflood-fp in a Complex Watershed: Case Study of Mundeni Aru River Basin, Sri Lanka : Volume 370, Issue 370 (11/06/2015)  
Author: Amarnath, G.
Volume: Vol. 370, Issue 370
Language: English
Subject: Science, Proceedings, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Description
Description: International Water Management Institute (IWMI), Colombo, Sri Lanka. Flood management is adopting a more risk-based approach, whereby flood risk is the product of the probability and consequences of flooding. Two-dimensional flood inundation modeling is a widely used tool to aid flood-risk management. The aim of this study is to develop a flood inundation model that uses historical flow data to produce flood-risk maps, which will help to identify flood protection measures in the rural areas of Sri Lanka. The LISFLOOD-FP model was developed at the basin scale using available historical data, and also through coupling with a hydrological modelling system, to map the inundation extent and depth. Results from the flood inundation model were evaluated using Synthetic Aperture Radar (SAR) images to assess product accuracy. The impacts of flooding on agriculture and livelihoods were analyzed to assess the flood risks. It was identified that most of the areas under paddy cultivation that were located near the middle and downstream part of the river basin are more susceptible to flood risks. This paper also proposes potential countermeasures for future natural disasters to prevent and mitigate possible damages.

Summary
Modelling the flood-risk extent using LISFLOOD-FP in a complex watershed: case study of Mundeni Aru River Basin, Sri Lanka

Excerpt
Bates, P. and De Roo, A.: A simple raster-based model for flood inundation simulation, J. Hydrol., 236, 54–77, 2000.; Bates, P., Horitt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45, 2010.; Di Baldassarre, G., Schumann, G., and Bates, P. D.: A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent, J. Hydrol., 367, 276–282, 2009.; Horritt, M. S. and Bates, P. D.: Predicting floodplain inundation: raster-based modelling versus the finite-element approach, Hydrol. Process., 15, 825–842, 2001.; Di Baldassarre, G., Schumann G., and Bates, P. D.: A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent, J. Hydrol., 367, 276–282, 2009.; EM-DAT: The OFDA/CRED International Disaster Database. http://www.emdat.net – Université catholique de Louvain – Brussels – Belgium, last access: 27 August 2013.; Miotto, F., Claps, P., Laio, F., and Poggi D.: An analytical index for flood attenuation due to reservoirs. 32nd Congress of IAHR, edited, Venice, Italy, 2007.; Neal, J., Schumann, G., and Bates, P. D.: A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas, Water Resour. Res., 48, W11506, doi:10.1029/2012WR012514, 2012.; Pappenberger, F., Frodsham, K., Beven, K., Romanowicz, R., and Matgen, P.: Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations, Hydrol. Earth Syst. Sci., 11, 739–752, doi:10.5194/hess-11-739-2007, 2007.; Petersen, G. and Fohrer, N.: Two-dimensional numerical assessment of the hydrodynamics of the Nile swamps in southern Sudan, Hydrol. Sci. J., 55, 17–26, 2010.; Te Chow, V.: Open channel hydraulics, 131, p. 1215, 1959.; Wilson, M., P. Bates, P., Alsdorf, D., Forsberg, B., Horritt, M., Melack, J., Frappart, F., and Famiglietti, J.: Modeling large-scale inundation of Amazonian seasonally flooded wetlands, Geophys. Res. Lett., 34, L15404 doi:10.1029/2007GL030156, 2007.; Yan, K., Di Baldassarre, G., and Solomatine, D. P.: Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty. Journal of Hydroinformatics, 15, 3, 849–861, 2013.

 

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