Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM
Rapid and accurate inundation modelling in large floodplains is critical for emergency response and environmental management. This paper describes the development and implementation of a floodplain inundation model that can be used for rapid assessment of inundation in very large floodplains. The model uses high resolution DEM (such as LiDAR DEM) to derive floodplain storages and connectivity between them at different river stages. We tested the performance of the model across several large floodplains in southeast Australia for estimating floodplain inundation extent, volume, and water depth for a few recent flood events. The results are in good agreement with those obtained from high resolution satellite imageries and MIKE 21 two-dimensional hydrodynamic model. The model performed particularly well in the reaches that have confined channels with above 85 % agreement with the flood maps derived from Landsat TM imagery in cell-to-cell comparison. While the model did not performance as well in the flat and complex floodplains, the overall level of agreement of the modelled inundation maps with the satellite flood maps was still satisfactory (60–75 %). The key advantage of this model is demonstrated by its capability to simulate inundation in large floodplains (over 2000 km2) at a very high resolution of 5-m with more than 81 million cells at a reasonably low computational cost. The model is suitable for practical floodplain inundation simulation and scenario modelling under current and future climate conditions.
KeywordsRapid inundation modelling LiDAR DEM Floodplain TVD model Hydrodynamic modelling Flood emergency response
Compliance with Ethical Standards
This study was undertaken as part of the Australian Water resource Assessment (AWRA) project and was funded by the Land and Water Flagship, CSIRO and the Australian Bureau of Meteorology (BoM) under the WIRADA alliance between CSIRO and BoM.
Conflict of Interest
The authors declare that they have no conflict of interest.
- Bates PD, De Roo APJ (2000) A simple raster-based model for flood inundation simulation. J Hydrol 236(1–2):54–77Google Scholar
- DHI (2012) MIKE 21 - 2D modelling of coast and sea, DHI Water & Environment Pty Ltd., http://www.dhisoftware.com/Products/CoastAndSea/MIKE21.aspx, accessed on 25 August 2012
- Dutta D, Teng J, Vaze J, Hughes J, Lerat J, Marvanek S (2013b) Building flood inundation modelling capability in river system models for water resources planning and accounting, in climate and land surface changes in hydrology, IAHS Red Book. By Boegh E, Blyth E, Hannah DM, Hisdal H, Kunstmann H, Su B, Yilmaz KK (eds) pp. 205–212, IAHS PublicationGoogle Scholar
- Gallant JC (2003) A multiresolution index of valley bottom flatness for mapping depositional areas multiresolution valley bottom flatness. Water Resour Res 39(12):1347Google Scholar
- Lhomme J, Sayers P, Gouldby B, Samuels P, Wills M, Mulet-Marti J (2008) Recent development and application of a rapid flood spreading method, in Proceedings of FLOODrisk 2008, Keble College, Oxford, UK, 30 September to 2 October 2008Google Scholar
- Nardi F, Vivoni ER, Grimaldi S (2006) Investigating a floodplain scaling relation using a hydrogeomorphic delineation method. Water Resour Res 42(9):W09409Google Scholar
- NASA (2012) The thematic mapper, national aeronautics and space administration, http://landsat.gsfc.nasa.gov/about/tm.html, accessed on 03 September 2013
- Néelz S (2009) Desktop review of 2D hydraulic modelling packages. Environment Agency, BristolGoogle Scholar
- Teng J, Vaze J, Dutta D (2013) Simplified methodology for floodplain inundation modelling using LiDAR DEM, in Climate and land surface changes in hydrology, IAHS Red Book, by Boegh E, Blyth E, Hannah DM, Hisdal H, Kunstmann H, Su B, Yilmaz KK (eds) pp. 198–204, IAHS PublicationGoogle Scholar
- Vaze J et al (2013) The Australian Water Resource Assessment System (AWRA). In Proceedings of the 20th International Congress on Modelling and Simulation (MODSIM2013), edited, Adelaide, AustraliaGoogle Scholar