Building treatments for urban flood inundation models and implications for predictive skill and modeling efficiency

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Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques (2019, background): “Low quality buildings are unsafe for residents and are more vulnerable to natural hazards, especially earthquakes and floods (Schubert and Sanders, 2012, Gerl et al., 2014).”
Urban flood modeling using shallow water equations with depth-dependent anisotropic porosity (2016, methodology): “Sanders’ model was further investigated in Kim et al., 2015, Kim et al., 2014, Schubert and Sanders, 2012.”
Assessing the utility of social media as a data source for flood risk management using a real‐time modelling framework (2017, background): “Allowing water to pass through the narrow gaps then requires high grid resolutions, typically 2m or better (Schubert and Sanders, 2012), demanding millions of grid cells.”