IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 35th IAHR Congress - Chengdu (2013) : THEME 7 - WATER RESOURCES AND HYDROINFORMATICS : Computationally Efficient, Regional Scale Flood Inundation Modelling
Computationally Efficient, Regional Scale Flood Inundation Modelling
Author : Sam Jamieson, Grant Wright, Julien Lhomme and Ben Gouldby
The Rapid Flood Spreading Method (RFSM) has been developed and refined over the past decade to facilitate the type of large-scale and regional probabilistic simulations required by Governments and Industry for strategic planning purposes. The latest version of the model (RFSM-EDA) provides a s tep change in performance over current techniques, and has previously been shown to provide comparable accuracy relative to conventional 2D models, at significantly faster computational speeds, for both small and medium-large scale applications. This paper illustrates the use of RDSM-EDA to a regional scale flood event, namely the northern avulsion element of the 2010 River Indus flooding in Pakistan. The 2010 Indus floods led to ~2000 fatalities and displaced some 20 million people from their homes, with the 2 northern avulsion alone inundating ~8,000 km of agricultural land to depths of 1?3 m. Although, the extent of the flooding means that there is a wealth of, primarily remote sensed, data related to the floods, the accuracy of some of the key data is shown to be questionable. The results from a range of different flood inundation models are used in conjunction with observed flood extents, to determine the performance of RFSM-EDA. The overall results again highlight the importance of both accurate topographic data and appropriate DEM sampling techniques, with all model types producing poor results when used in conjunction with ?noisy? DEM data and simplistic sampling strategies. Notwithstanding, RFSM-EDA is shown to provide comparable accuracy relative to a selection of conventional 2D models, at a fraction of the computational runtime. This indicates that, given appropriate topographic data, RFSM-EDA is suitable for regional scale flood inundation modeling, and thus has clear application to national flood risk assessment and real-time flood prediction. Recommendations for future work include further simulations of the River Indus flooding, including the use of alternative topographical data and follow-up sensitivity analysis, as well as refinements to the RFSM-EDA pre-processing to help deal with poor topographic data inputs.
File Size : 1,298,093 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 35th IAHR Congress - Chengdu (2013)
Date Published : 19/07/2016
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