Spatial Statistics in Groundwater Engineering
Prof. Daniel M. Tartakovsky, Stanford University (https://profiles.stanford.edu/daniel-tartakovsky)
November, 25th, 2021
Room: 2.7a (viale Risorgimento 2, Bologna)
Link to attend via Microsoft Teams:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_YzMzZWU2OWUtZGVmNC00MjY0LTlmN2EtYzk5ODk5MTk5MTFj%40thread.v2/0?context=%7b%22Tid%22%3a%22e99647dc-1b08-454a-bf8c-699181b389ab%22%2c%22Oid%22%3a%22ba5141e0-ee36-4a87-a663-b5face204b28%22%7d
Abstract
Predictions of groundwater flow have to deal with pervasive scarcity of site-specific data. We will discuss statistical techniques for reconstruction of hydraulic conductivity maps from a few observations collected, e.g., well tests. The resulting conductivity fields are probabilistic, which renders the groundwater flow equation stochastic. We will discuss some of the popular methodologies of its solution, such as Monte Carlo simulations.