| Title | Rapid risk evalution (ER2) using MS Excel spreadsheet: a case study of Fredericton (New Brunswick, Canada) |
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| Author | McGrath, H ;
Stefanakis, E; Nastev, M |
| Source | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences vol. III-8, 2016 p. 27-34, https://doi.org/10.5194/isprsannals-III-8-27-2016  Open Access |
| Image |  |
| Year | 2016 |
| Alt Series | Earth Sciences Sector, Contribution Series 20160078 |
| Publisher | Copernicus GmbH |
| Meeting | XXIII International Society for Photogrammetry and Remote Sensing Congress, Commission VIII; Prague; CZ; July 12-19, 2016 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | New Brunswick |
| NTS | 21G/15 |
| Area | Fredericton; Saint John River |
| Lat/Long WENS | -67.0000 -66.5000 46.0000 45.7500 |
| Subjects | hydrogeology; Economics and Industry; floods; flood potential; software; water levels; Risk assessment; Methodology; Tools; Buildings; Public safety |
| Illustrations | flow diagrams; tables; bar graphs; screen captures; geoscientific sketch maps; graphs |
| 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)
This papers describes the newly developed tool for the rapid risk assessment ER2). The calculations of social and economic losses are done in a Microsoft
Excel spreadsheet. The user input is limited to a handful of intuitive drop-down menus used to describe the type of construction, age, occupation and the expected water level. The application has been validated for the case of 2006 flooding in
Fredericton. |
| GEOSCAN ID | 298833 |
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