Abstract

Conventional knowledge of the flood hazard alone (extent and frequency) is not sufficient for informed decision-making. The public safety community needs tools and guidance to adequately undertake flood hazard risk assessment in order to estimate respective damages and social and economic losses. While many complex computer models have been developed for flood risk assessment, they require highly trained personnel to prepare the necessary input (hazard, inventory of the built environment, and vulnerabilities) and analyze model outputs. As such, tools which utilize open-source software or are built within popular desktop software programs are appealing alternatives. The recently developed Rapid Risk Evaluation (ER<sup>2</sup>) application runs scenario based loss assessment analyses in a Microsoft Excel spreadsheet. User input is limited to a handful of intuitive drop-down menus utilized to describe the building type, age, occupancy and the expected water level. In anticipation of local depth damage curves and other needed vulnerability parameters, those from the U.S. FEMA’s Hazus-Flood software have been imported and temporarily accessed in conjunction with user input to display exposure and estimated economic losses related to the structure and the content of the building. Building types and occupancies representative of those most exposed to flooding in Fredericton (New Brunswick) were introduced and test flood scenarios were run. The algorithm was successfully validated against results from the Hazus-Flood model for the same building types and flood depths.

Highlights

  • Every year disastrous climatological and geological hazards take place in Canada and around the globe (Nastev & Todorov, 2013)

  • We present the Rapid Risk Evaluation (ER2) Flood tool, which uses a spreadsheet application to compute replacement cost of the building and estimate potential damages resulting from user input flood scenarios

  • When the total damages are plotted against water depth for the three scenarios (Figure 9) Hazus, ER2 – user input (ER2-UI) building value, and ER2 – computed building value (ER2-C) we can clearly see a trend to the loss estimates

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Summary

INTRODUCTION

Every year disastrous climatological and geological hazards take place in Canada and around the globe (Nastev & Todorov, 2013). The input data requirements and data manipulation required for these models to run may exceed the technical capabilities of the broader non-expert safety community (Nastev et al 2015). These existing models leave a gap between what is needed (and when) by decision makers and the output a model is able to provide (Leskens et al, 2014). We present the Rapid Risk Evaluation (ER2) Flood tool, which uses a spreadsheet application to compute replacement cost of the building and estimate potential damages resulting from user input flood scenarios.

FLOOD LOSS ESTIMATION
ER2 METHODOLOGY
ER2 Design Interface
ER2 Interface Design
ER2 Geospatial Result Design
ER2 Result Design
Contents Exposure
Structure damage estimation
Contents damage estimation
STUDY AREA
RESULTS
Percent Damage
Economic Losses
CONCLUSIONS

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