PURE (Probability, Uncertainty and Risk in the Environment) is a new Knowledge Exchange Network and Research Programme. Its aim is to be the leading national network bringing together researchers, industrialists, and policy-makers in uncertainty and risk for natural hazards, through collaborative working, knowledge exchange, and the development of best practice. It will help to shape the direction of future research and provide valuable information to practitioners in environmental risk management.
Running alongside, as a sub-group of, the main PURE research activities is a web portal, or 'Experimental Zone', designed by the British Geological Survey to facilitate the sharing and fusion of models and data from a variety of different sources. To find out more about this sub-group and how to join, please visit the PURE Portal and Experimental Zone pages.
In July 2012, the NERC announced that £4m has been awarded for the PURE Programme. The PURE Programme is managed by two consortia of academic institutions and industrial partners, who will undertake PURE-related studies of priority hazards, including modelling of floods, windstorms, earthquakes, tsunamis, droughts, lahars, and volcanic ash dispersal. Please follow this link to find out more about PURE.
About the PURE Network
Network aims and
Funding mechanisms for collaborations related to PURE
PURE Portal and Experimental Zone
Integrated modelling resources for natural hazards
Details of RACER's and CREDIBLE's research programmes
The PURE Knowledge Exchange Network is delivered on behalf of NERC and Innovate UK by the Smith Institute for Industrial Mathematics and System Engineering in conjunction with the British Geological Survey (BGS), and the Environment Agency (EA).
The case studies for the NERC PURE Associate Collaborations are available by clicking on the links below:
Forestry Commission England, Forest Research and University of Manchester: Developing a risk assessment approach for forest fire at the rural-urban interface: potential of the wildfire threat analysis framework
Foreign and Commonwealth Office, British Geological Survey and University of East Anglia: Trialling analysis of eruptive scenarios via economic and probabilistic aproaches on Tristan da cunha, and its application to decision support
- Risk Modelling & Uncertainty
Jun 03 / 09:00 until Jun 07 / 17:00Discussion forum for the statistical treatment and modelling of compositional data or other...
Jul 15 / 09:00 until Jul 19 / 17:00A summer school that might appeal to PhD students and postdocs working in computer experiments,...