2019 CSCE Annual Conference - Laval (Greater Montreal)

2019 CSCE Annual Conference - Laval (Greater Montreal) Conference


Title
ER2- Flood: A Web Application for Rapid Flood Risk Assessment.


Author(s)
Ms. Heather McGrath, Canada Centre for Mapping and Earth Observation, Natural Resources Canada
Mr. Nicholas Gibb, Geological Survey of Canada, Natural Resources Canada
Mr. Alex Smirnoff, Geological Survey of Canada, Natural Resources Canada
Mr. Jean-François Bourgon, Canada Centre for Mapping and Earth Observation, Natural Resources Canada
Mr. Jean-Samuel Proulx-Bourque, Canada Centre for Mapping and Earth Observation, Natural Resources Canada
Dr. Miroslav Nastev, Geological Survey of Canada (Presenter)
Dr. Ahmad Abo-El-Ezz, Geological Survey of Canada, Natural Resources Canada
Abstract

Many 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.