Darcy Lecture Series (UP, Gauteng)

Event Date: 
06 Jul 17:30 - 20:00
Event Description: 

The GWD is proud to host the Darcy Lecture Series coming to Gauteng.
More details will still be made available but we invite interested individuals to please sign-up to ensure your seat.

University of Pretoria, Sanlam Auditorium 
17:30 - 18:30 / 19:00

Dr. Frerre will be presenting a course (at no charge) at UP from 13:00 to 17:00 titled

'Merging Measurements and Models to Improve Water-Related Decision Making'

The first hour will cover the link between decision making and scientific uncertainty, with an emphasis on explaining uncertainty to non-scientists.  Then, participants will work in groups to explore ways to use models to improve the design of monitoring networks.  This will be achieved through a sequence of Excel-based exercises.  Then, we will discuss and examine the challenges associated with larger scale measurements - such as satellite or airborne methods, geophysics, and pumping tests.  The last hour will be devoted to student-driven questions on the topic. Delegates with access to laptops that can run Excel are invited to bring it along!
Please note seats are limited to the first 20 bookings. To book with us please info [at] gwd [dot] org [dot] za (email us).


 2016 Darcy Lecture

Seeing Things Differently: Rethinking the Relationship Between Data, Models, and Decision-Making

Presented by Ty Ferré, Ph.D.
Practicing hydrogeologists construct detailed numerical models to predict the responses of hydrologic systems to natural and applied stresses. These predictions form the basis for decisions that must balance optimal use of resources and ecosystem support. These decisions typically involve multiple interested parties with strongly differing priorities for water allocation. Despite the importance that stakeholders place on water resources, budgets for hydrogeologic studies are often limited. As a result, the hydrologic models used for decision support are severely data limited. This requires improved methods to identify the optimal set of observations to collect and to use model-predictions to support robust decision-making under considerable uncertainty.
Dr. Ferré will build from the basic concepts of decision science to present concepts and recent developments in optimal design of hydrogeologic monitoring networks. He will also discuss how hydrogeologic models can be used for decision support under uncertainty. Finally, he will show that focusing hydrologic analysis on the specific, practical problems of interest can guide optimal measurement selection, advance hydrologic science, and improve the integration of science into economic and policy decisions.
Approaches developed by leading researchers in the field will be presented, including work within Dr. Ferré’s research group on the Discrimination-Inference for Reduced Expected Cost Technique—a framework for integrating multi-model analysis and decision science to improve the efficiency and effectiveness of hydrogeologic investigations. Examples will demonstrate the application of decision-guided hydrologic investigations to the design of a pump and treat system, prediction of off-site exposure risk, estimation of future water availability, and mediation of stakeholder conflicts over water use.

About the Lecturer: Ty Ferré, Ph.D., is a professor in the Department of Hydrology and Water Resources at the University of Arizona. He received his bachelor's degree in geophysical engineering from the Colorado School of Mines and his Ph.D. in Earth sciences from the University of Waterloo. Find his full CV attached.

Signups closed for this GWD Event

Darcy Lecture 2016 Ty Ferre CV.pdf430.39 KB
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