Description

This project is concerned with the relationship between rainfall and stream flow. There is considerable uncertainty as to the nature of this relationship and the way in which it changes with time and location. Understanding and quantifying this relationship is important for assessing the potential for flooding and the impact on flooding of changes in land use.

Members of the Durham Mathematics department (Michael Goldstein and Nathan Huntley), are part of a PURE (Probability, uncertainty and risk in the environment) consortium which is concerned with issues related to uncertainties associated with natural hazards. One aspect of this work involves working on problems related to rainfall run-off models, in collaboration with hydrologists at Imperial College. Our collaborators have implemented a particular rainfall runoff model, which runs in R. In addition, we have several time series of rainfall, stream flow and related quantities at various locations. This provides a rich collection of multi-variate spatio-temporal data.

This project is concerned with the analysis of the collection of rainfall-runoff data and the investigation of the relevance and accuracy of the computer simulator developed to study this data.

Prerequisites and Corequisitess

Resources

Details about the flood model that we will be using are given in this document

More details about the PURE project are given at

the home-page for the PURE research programme