Title | Rapid Risk Evaluation (ER2) using MS Excel spreadsheet: a case study of Fredericton (New Brunswick, Canada) |
| |
Author | McGrath, H ;
Stefanakis, E; Nastev, M |
Source | XXIII ISPRS Congress, Commission VIII; ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences vol. III-8, 2016 p. 27-34, https://doi.org/10.5194/isprs-annals-III-8-27-2016 Open Access |
Image |  |
Year | 2016 |
Alt Series | Natural Resources Canada, Contribution Series 20180285 |
Publisher | Copernicus GmbH |
Meeting | XXIII ISPRS Congress, Commission VIII; Prague; CZ; July 12-19, 2016 |
Document | serial |
Lang. | English |
Media | paper; on-line; digital |
File format | pdf; xml |
Province | New Brunswick |
NTS | 21G/15; 21J/02 |
Area | Fredericton |
Lat/Long WENS | -66.7972 -66.5500 46.0250 45.9000 |
Subjects | hydrogeology; Nature and Environment; Science and Technology; Health and Safety; floods; mapping techniques; modelling; software; Hazus; Methodology; Risk assessment; Buildings; Economic
impact |
Illustrations | tables; histograms; plots; screen captures |
Program | Public Safety Geoscience Quantitative risk assessment project |
Released | 2016 06 07 |
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 (ER2) 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. |
Summary | (Plain Language Summary, not published) A simple MS Excel spreadsheet for flood risk assessment has been developed as a replacement for the complex and tedious US FEMA Hazus software. this
paper présents the results from the Fredericton (NB) validation study. |
GEOSCAN ID | 311113 |
|
|