RiskScape: a flexible multi-hazard risk modelling engine

Ryan Paulik (), Nick Horspool, Richard Woods, Nick Griffiths, Tim Beale, Christina Magill, Alec Wild, Benjamin Popovich, Glenn Walbran and Russel Garlick
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Ryan Paulik: National Institute of Water and Atmospheric Research (NIWA)
Nick Horspool: GNS Science
Richard Woods: GNS Science
Nick Griffiths: Catalyst IT
Tim Beale: Catalyst IT
Christina Magill: GNS Science
Alec Wild: National Institute of Water and Atmospheric Research (NIWA)
Benjamin Popovich: Moffatt & Nichol
Glenn Walbran: Catalyst IT
Russel Garlick: Catalyst IT

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 119, issue 2, No 13, 1073-1090

Abstract: Abstract This paper presents the architecture and features of RiskScape software. RiskScape is an open-source software with a flexible modelling engine for multi-hazard risk analysis. The RiskScape engine implements modeller-defined risk quantification workflows as ‘model pipelines’. Model pipeline steps and functions analyse hazard, exposure, and vulnerability data across different spatio-temporal domains using geoprocessing and spatial sampling operations. The RiskScape engine supports deterministic and probabilistic risk quantification, with several probabilistic-based modes described in this paper. RiskScape advances modelling software for multi-hazard risk analysis through several implementation features. The RiskScape engine operates model pipelines independent of system prescribed model input data classifications or standards. Multiple hazard types, metric intensities, and temporal occurrence information is geometry processed and sampled to create coverage data of simultaneous or sequenced multi-hazard events at object-exposure locations. Escalating multi-hazard event impacts are then determined for object-exposures using scripted conditional or nested statements that apply vulnerability functions in a logical sequence of temporal hazard and impact occurrence. These model features, supported by open geospatial consortium standard geospatial data files and operations, expedite RiskScape for modelling multi-hazard risk at any geographical location or scale.

Keywords: RiskScape; Risk; Multi-hazard; Multi-hazard risk; Software; Open source (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-022-05593-4

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