Speaker:
G.Turek, K.Wright, I. Matcham, R.Paulik, G.Smart, A. King

Date(s):
04 Sep 2012 to 04 Sep 2012

Topic:

RiskScape is a quantitative, loss and risk modelling decision support tool designed for practical use by planners, emergency managers, asset managers, or anyone with an interest in risk assessment modelling and natural hazards. Development of RiskScape is funded by the NZ Government Natural Hazards Research Platform.  RiskScape is a joint project between GNS Science (Institute of Geological and Nuclear Sciences) and NIWA (National Institute of Water and Atmospheric Research) and is available  for government affiliates and not-for-profit agencies. RiskScape combines spatial data including assets (buildings, people and infrastructure) with vulnerability models to produce a range of loss results (e.g. restoration costs, injuries, displacement time) for earthquake, flood, tsunami, volcanic ash and windstorm hazards.

RiskScape is a modular tool designed so users can add their own spatial data such as assets datasets or hazard exposure layers. RiskScape is a stand-alone, java-based desktop application. Development of the software began in 2006, and the project has now passed the test of concept phase into the working prototype phase. Work is ongoing to increase functionality by adding more hazard and asset types, and increasing the range of fragility functions to model a greater range of impacts. A current version of the RiskScape prototype can be downloaded and trialled by potential users to determine its suitability for uses in planning exercises, risk based land use planning, hazard mitigation projects prioritisation, planning infrastructure upgrade or relocation projects, or for comparing and communicating hazards and risks to colleagues, politicians or the public.

This presentation will cover the development of RiskScape to date, introduce the audience to the functionality and aesthetics of RiskScape, and discuss potential uses of the RiskScape tool, including intended uses by New Zealand and international collaborators and end users. The importance of spatial data and metadata with attributes suitable for fragility modelling will also be covered.

 

 

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