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Statistics of porous media attributes and mixing processes state variables across scales

This project is now filled.

Supervisors: Mohad M. Nezhad (Engineering), Thomas Hudson (Mathematics),
Alberto Guadagnini (Politechnico di Milano)

Typical observations of porous media attributes arise from a variety of techniques which have their own spatial resolution and associated uncertainty. Therefore, key statistics of parameters driving transport processes in porous media vary across scales and a scientific foundation for the characterization of basic transport mechanisms requires understanding of all relevant processes across the relevant length and time scales. In this project, we develop a theoretical and computational framework to assimilate data associated with diverse variables collected at a range of scales and combine these to provide predictions of solute dynamics and associated uncertainties.

Further information: Project description

Statistics of porous media attributes and mixing processes state variables across scales