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RiskScape: a flexible multi-hazard risk modelling engine.

Authors :
Paulik, Ryan
Horspool, Nick
Woods, Richard
Griffiths, Nick
Beale, Tim
Magill, Christina
Wild, Alec
Popovich, Benjamin
Walbran, Glenn
Garlick, Russel
Source :
Natural Hazards; Nov2023, Vol. 119 Issue 2, p1073-1090, 18p
Publication Year :
2023

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0921030X
Volume :
119
Issue :
2
Database :
Complementary Index
Journal :
Natural Hazards
Publication Type :
Academic Journal
Accession number :
172971549
Full Text :
https://doi.org/10.1007/s11069-022-05593-4