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TitleER2- Flood: a web application for rapid flood risk assessment
AuthorMcGrath, HORCID logo; Gibb, NORCID logo; Smirnoff, A; Proulx-Bourque, J -S; Bourgon, J -FORCID logo; Abo El Ezz, AORCID logo; Nastev, MORCID logo
SourceCanadian Society for Civil Engineering, Annual Conference, 2019: growing with youth, proceedings; 2019 p. GEN103.1-GEN103.4 Open Access logo Open Access
LinksOnline - En ligne
Alt SeriesNatural Resources Canada, Contribution Series 20190642
PublisherCanadian Society for Civil Engineering
MeetingCanadian Society for Civil Engineering Annual Conference 2019; Laval, QC; CA; June 12-15, 2019
Mediapaper; on-line; digital
File formatpdf
Subjectshydrogeology; Science and Technology; Nature and Environment; Health and Safety; Transport; floods; models; computer simulations; software; economics; Rapid Risk Evaluator (ER2); Infrastructures; Buildings; Emergency preparedness; Railway networks; Road networks; Public safety
Illustrationsscreen captures
ProgramPublic Safety Geoscience Quantitative risk assessment
Released2019 06 01
AbstractMany different models exist for natural hazard simulations, but due to their technical complexity and data requirements, their use is generally restricted to domain experts. As a result, there is often a lag in the communication of risk to the emergency management community. Rapid Risk Evaluator (ER2) is a web-based application that removes this impediment and puts risk assessment tools directly in the hands of the end users. The ER2-Flood prototype has been developed using open source software and Canada wide datasets, and it is envisioned it will be available for nationwide use. In this first iteration of ER2-Flood, the Height Above Nearest Drainage (HAND) model is used along with user-specified location and water depth to simulate the spatial extent of the flood and flood depth across the study area. The considered negative impacts include total count of buildings affected, economic losses, social impact (e.g.: population displaced), and disruptions to the transportation network. The prototype is currently being tested for the Gatineau area, using the 2017 flood as a base-case for validation. Preliminary results are similar to those obtained when running other risk assessment programs (e.g.: Hazus-MH), however, the ER2 runtime is considerably shorter, no user data is needed and it is a more automated process.

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