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TitleFlood damage calculations via a RESTful API
AuthorMcGrath, H; Kotsollaris, M; Stefanakis, E; Nastev, M
SourceInternational Journal of Disaster Risk Reduction vol. 35, 101071, 2019 p. 1-8, https://doi.org/10.1016/j.ijdrr.2019.101071
Year2019
Alt SeriesNatural Resources Canada, Contribution Series 20180297
PublisherElsevier BV
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf (Adobe® Reader®); html
Subjectshydrogeology; floods; software; RESTful API; Hazus; methodology; risk assessment; geological hazards; web services; application protocol interfaces; API; public safety; decision making; losses; property damage; buildings; water depths
Illustrationstables; flow diagrams; screen captures; schematic representations; location maps; geoscientific sketch maps; plots
ProgramQuantitative risk assessment project, Public Safety Geoscience
Released2019 01 26
AbstractIn Canada and across the globe, flooding has significantly increased in recent decades. Knowledge of the flood hazard alone (extent and frequency) does not provide enough information to the public safety community to make informed decisions regarding potential social and economic losses. While many programs have been developed for flood risk assessment, they require experienced personnel to prepare the data inputs, run and analyse the model outputs. As such, alternative, easy-to-use tools for risk assessment are appealing. We present in this paper a RESTful Application Program Interface (API) for building damage estimation. This API is a web-service which allows access to buildings damage calculations outside of a risk assessment program. It is designed to provide a point of entry for developers to programmatically access the underlying calculation tools to query, calculate and extract damage data directly into a users own software, tools or decision support systems. To validate the accuracy of results the damage data is compared to results from existing software for two communities in Eastern Canada. To illustrate the ease of use of the API, a Python script has been written which reads in a file containing the building information and pre-determined flood depths. This script builds the request for the API and saves the results: damage and exposure.
Summary(Plain Language Summary, not published)
Direct losses occur as a result of direct physical contact of flood water and include loss calculations of building repair and construction costs. Typically, these calculations are only available within flood risk assessment software. In this reserach, a web-based RESTful API was created to allow users to compute damages by accessing a web-URL. This API can be accessed by users or via 3rd party programs which can easily be incorporated into a users own software, tools or decision support systems.
GEOSCAN ID313101