Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 107, Issue -, Pages 85-95Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2018.06.010
Keywords
CADDIES; DEM resolution; Drainage capacity; Flood modelling; Multi-information; Urban feature
Categories
Funding
- British Council through the Global Innovation Initiative [GII206]
- UK Engineering and Physical Sciences Research Council [EP/N010329/1]
- SINATRA project of the NERC Flooding From Intense Rainfall programme [NE/K008765/1]
- China Scholarship Council
- EPSRC [EP/N010329/1] Funding Source: UKRI
- NERC [NE/K008765/1] Funding Source: UKRI
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High accuracy models are required for informed decision making in urban flood management. This paper develops a new holistic framework for using information collected from multiple sources for setting parameters of a 2D flood model. This illustrates the importance of identifying key urban features from the terrain data for capturing high resolution flood processes. A Cellular Automata based model CADDIES was used to simulate surface water flood inundation. Existing reports and flood photos obtained via social media were used to set model parameters and investigate different approaches for representing infiltration and drainage system capacity in urban flood modelling. The results of different approaches to processing terrain datasets indicate that the representation of urban micro-features is critical to the accuracy of modelling results. The constant infiltration approach is better than the rainfall reduction approach in representing soil infiltration and drainage capacity, as it describes the flood recession process better. This study provides an in-depth insight into high resolution flood modelling.
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