Aarhus University Seal / Aarhus Universitets segl

Pradip Kumar Maurya

Quantification of subsurface structural uncertainty in groundwater models using 3D geophysical data

Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningpeer review

With recent advances in groundbased and airborn electromagnetic methods, groundwater modellers can be equiped unique datasets holding high resolution information on the subsurface structures. These data often reveal a highly complex reality. It is hard to argue that data gaps can be modelled deterministically. Here, we would like to show, how multiple point geostatistical methods can be used in combination with 3D EM data to generate subsurface realizations, and how these realizations can be used efficiently in groundwater models.
StatusUdgivet - 2018
BegivenhedComputational Methods in Water Resources 2018 - Palais du Grand Large, Saint Malo, Frankrig
Varighed: 3 jun. 20187 jun. 2018


KonferenceComputational Methods in Water Resources 2018
Lokation Palais du Grand Large
BySaint Malo

Se relationer på Aarhus Universitet Citationsformater

ID: 134728749