Presented by Eduardo DeSousa.

Hydrogeologists commissioned with groundwater studies face the impossible task of characterising often highly heterogeneous geological environments where hydrogeological properties can vary over 10 orders of magnitude in a matter of few metres.

The understanding and quantification of the inherent hydrogeological uncertainty and its impacts on predictions of interest are pivotal for robust risk management and decision making.

Novel methodologies in data assimilation, sensitivity analysis and uncertainty quantification have emerged in the last 10 years and enable hydrogeologists to not only quantify uncertainty, but also optimise data acquisition efforts to reduce it.

The presentation illustrates these methodologies and how they can facilitate groundwater management with several case studies in mines around the globe.