Comparison of Flood Loss Assessment Methodologies at the Neighborhood Scale

Authors: Rubayet Bin Mostafiz*, Louisiana State University, Carol J. Friedland, Bert S. Turner Department of Construction Management, College of Engineering, Louisiana State University, Baton Rouge, LA 70803, Md Asif Rahman, Department of Geographical and Sustainability Sciences, College of Liberal Arts and Sciences, University of Iowa, Iowa City, IA 52242, Robert V. Rohli, Department of Oceanography & Coastal Sciences, College of the Coast & Environment, Louisiana State University, Baton Rouge, LA 70803, Eric Tate, Department of Geographical and Sustainability Sciences, College of Liberal Arts and Sciences, University of Iowa, Iowa City, IA 52242, Nazla Bushra, Department of Oceanography & Coastal Sciences, College of the Coast & Environment, Louisiana State University, Baton Rouge, LA 70803, Arash Taghinezhad, Bert S. Turner Department of Construction Management, College of Engineering, Louisiana State University, Baton Rouge, LA 70803
Topics: Hazards, Risks, and Disasters, Hazards and Vulnerability, Water Resources and Hydrology
Keywords: Flood loss assessment, Federal Emergency Management Agency (FEMA), Hazus, Flood Assessment Structure Tool (FAST), Hydrologic Engineering Center Flood Impact Analysis (HEC-FIA) software, Neighborhood-scale, Natural hazards
Session Type: Virtual Paper
Day: 4/8/2021
Start / End Time: 1:30 PM / 2:45 PM
Room: Virtual 7
Presentation File: No File Uploaded


Several flood loss estimation methodologies have been developed to date, including Federal Emergency Management Agency’s (FEMA's) Hazus, FEMA’s Flood Assessment Structure Tool (FAST), and (U.S.) Hydrologic Engineering Center’s Flood Impact Analysis (HEC-FIA) software, to evaluate flood losses and to protect future losses associated with the flood risk. Those various methods require different data inputs and produce different output based on the data selection criteria and user objective. However, no existing research to date has evaluated comparatively the resulting outcomes from the existing methodologies at a neighborhood scale (NS). This paper introduces an evaluation of the outcomes of Hazus Level 2, FAST, and HEC-FIA, over a census block in Jefferson Parish, Louisiana, by user input. National Structure Inventory (NSI) and best available data (BAD) manually collected from Google Street View (GSV), Jefferson Parish inventory, and 2019 National Building Cost Manual are used to assess the validity of the outcomes. Results suggest that flood loss estimation among different methodologies varies by building inventory, depth damage function, and the technique in which the flood grid is processed. Results enhance the accuracy of flood loss estimation at the individual building level or NS, which offers an improvement over existing work that relies on default data included in the software package or a national data set that generalizes the data over a broad scale. In a more general sense, results can be used as a roadmap for assessing losses to other hazards, thereby enhancing the protection of human life and property.

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