GEOSCAN Search Results: Fastlink


TitleRapid risk evalution (ER2) using MS Excel spreadsheet: a case study of Fredericton (New Brunswick, Canada)
AuthorMcGrath, H; Stefanakis, E; Nastev, M
SourceISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences vol. III-8, 2016 p. 27-34, (Open Access)
Alt SeriesEarth Sciences Sector, Contribution Series 20160078
MeetingXXIII International Society for Photogrammetry and Remote Sensing Congress, Commission VIII; Prague; CZ; July 12-19, 2016
Mediapaper; on-line; digital
File formatpdf
ProvinceNew Brunswick
AreaFredericton; Saint John River
Lat/Long WENS -67.0000 -66.5000 46.0000 45.7500
Subjectshydrogeology; floods; flood potential; software; water levels; geological hazards; risk assessment; methodology; tools; Microsoft Excel; property damage; buildings; public safety; socio-economic impacts; Rapid Risk Evaluation (ER2) application; Hazus-Flood software; losses
Illustrationsflow diagrams; tables; bar graphs; screen captures; geoscientific sketch maps; graphs
ProgramQuantitative risk assessment project, Public Safety Geoscience
Released2016 06 07
AbstractConventional 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.