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Indexed by:期刊论文

Date of Publication:2018-09-01

Journal:ENVIRONMENTAL MODELLING & SOFTWARE

Included Journals:SCIE

Volume:107

Page Number:85-95

ISSN No.:1364-8152

Key Words:CADDIES; DEM resolution; Drainage capacity; Flood modelling; Multi-information; Urban feature

Abstract: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.