journal article Jul 01, 2019

Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods

View at Publisher Save 10.1029/2018wr024289
Abstract
AbstractFlood modeling at the regional to global scale is a key requirement for equitable emergency and land management. Coupled hydrological‐hydraulic models are at the core of flood forecasting and risk assessment models. Nevertheless, each model is subject to uncertainties from different sources (e.g., model structure, parameters, and inputs). Understanding how uncertainties propagate through the modeling cascade is essential to invest in data collection, increase flood modeling accuracy, and comprehensively communicate modeling results to end users. This study used a numerical experiment to quantify the propagation of errors when coupling hydrological and hydraulic models for multiyear flood event modeling in a large basin, with large morphological and hydrological variability. A coupled modeling chain consisting of the hydrological model Hydrologiska Byråns Vattenbalansavdelning and the hydraulic model LISFLOOD‐FP was used for the prediction of floodplain inundation in the Murray Darling Basin (Australia), from 2006 to 2012. The impacts of discrepancies between simulated and measured flow hydrographs on the predicted inundation patterns were analyzed by moving from small upstream catchments to large lowland catchments. The numerical experiment was able to identify areas requiring tailored modeling solutions or data collection. Moreover, this study highlighted the high sensitivity of inundation volume and extent prediction to uncertainties in flood peak values and explored challenges in time‐continuous modeling. Accurate flood peak predictions, knowledge of critical morphological features, and an event‐based modeling approach were outlined as pragmatic solutions for more accurate prediction of large‐scale spatiotemporal patterns of flood dynamics, particularly in the presence of low‐accuracy elevation data.
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References
111
[4]
A simple global river bankfull width and depth database

Konstantinos M. Andreadis, Guy J.-P. Schumann, Tamlin Pavelsky

Water Resources Research 10.1002/wrcr.20440
[7]
Australian Bureau of Meteorology. (2015).Australian Hydrological Geospatial Fabric (Geofabric) product guide. Retrieved fromhttp://www.bom.gov.au/water/geofabric/index.shtml
[24]
Domeneghetti A. Ceola S. Colanzi P. &Schumann G.(2018).Evaluation of flood risk evolution on the Murray‐Darling Basin (Australia) from 1975 to 2014 combining a hydrodynamic model and remote sensing data. Paper presented at the EGU General Assembly 2018 Vienna (Austria) https://doi.org/10.1155/2018/6148351 10.1155/2018/6148351
[33]
Gallant J. Read A. &Dowling T.(2011).Building a high resolution national elevation model from SRTM: The Australian experience. Paper presented at the AGU Fall Meeting Abstracts.
[34]
Gallant J. C. Wilson N. Dowling T. I. Read A. &Inskeep C. (2011).1 second SRTM derived products user guideRetrieved fromhttps://d28rz98at9flks.cloudfront.net/72759/1secSRTM_Derived_DEMs_UserGuide_v1.0.4.pdf https://doi.org/10.1093/cid/cir689 10.1093/cid/cir689
[46]
Huang C. Chen Y. &Wu J.(2013).GIS‐based spatial zoning for flood inundation modelling in the Murray‐Darling Basin. Paper presented at the 20th International Congress on Modelling and Simulation Adelaide (Australia).
[47]
Mapping spatio-temporal flood inundation dynamics at large river basin scale using time-series flow data and MODIS imagery

Chang Huang, Yun Chen, Jianping Wu

International Journal of Applied Earth Observation... 10.1016/j.jag.2013.09.002

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References
Details
Published
Jul 01, 2019
Vol/Issue
55(7)
Pages
5277-5300
License
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Funding
Monash University
Cite This Article
S. Grimaldi, G. J.‐P. Schumann, A. Shokri, et al. (2019). Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods. Water Resources Research, 55(7), 5277-5300. https://doi.org/10.1029/2018wr024289