Fast-Processing DEM-Based Urban and Rural Inundation Scenarios from Point-Source Flood Volumes

Kay Khaing Kyaw (), Federica Bonaiuti, Huimin Wang, Stefano Bagli, Paolo Mazzoli, Pier Paolo Alberoni, Simone Persiano and Attilio Castellarin
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Kay Khaing Kyaw: Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, 40136 Bologna, Italy
Federica Bonaiuti: Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, 40136 Bologna, Italy
Huimin Wang: Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, 40136 Bologna, Italy
Stefano Bagli: GECOsistema Srl, 47923 Rimini, Italy
Paolo Mazzoli: GECOsistema Srl, 47923 Rimini, Italy
Pier Paolo Alberoni: Arpae-SIMC, Hydro-Meteo-Climate Service of the Regional Agency for Prevention, Environment and Energy (ARPAE), 40122 Bologna, Italy
Simone Persiano: Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, 40136 Bologna, Italy
Attilio Castellarin: Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, 40136 Bologna, Italy

Sustainability, 2024, vol. 16, issue 2, 1-22

Abstract: Flooding has always been a huge threat to human society. Global climate change coupled with unsustainable regional planning and urban development may cause more frequent inundations and, consequently, higher societal and economic losses. In order to characterize floods and reduce flood risk, flood simulation tools have been developed and widely applied. Hydrodynamic models for inundation simulation are generally sophisticated, yet they normally require massive setup and computational costs. In contrast, simplified conceptual models may be more easily applied and efficient. Based on the Hierarchical Filling-and-Spilling or Puddle-to-Puddle Dynamic Filling-and-Spilling Algorithms (i.e., HFSAs), Safer_RAIN has been developed as a fast-processing DEM-based model for modelling pluvial flooding over large areas. This study assesses Safer_RAIN applicability outside the context for which it was originally developed by looking at two different inundation problems with point-source flooding volumes: (1) rural inundation modelling associated with levee breaching/overtopping; (2) urban flooding caused by drainage systems outflow volumes.

Keywords: DEM-based model; hydrodynamic models; point-source flooding volumes; rural inundation modelling; Safer_RAIN; urban flooding (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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