Staff

Christian Moeck

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About Me

The trajectory of my research thus far has been to acquire experience across a wide breadth of mathematical modeling techniques, including groundwater recharge estimation on plot- to global-scale, discharge and snowmelt simulation, and groundwater flow as well as solute and heat transport modeling. Furthermore, I have acquired experience with multiple tracers used to estimate residence times of water in the subsurface and to identify flow and transport processes. I have combined hydrochemistry data, stable water isotopes, organic micropollutants, (noble) gases and concentration patterns of contaminants with statistical methods to increase our process understanding.


I've obtained my PhD in hydrogeology from CHYN - Le Centre d'Hydrogéologie et de Géothermie de l'Université de Neuchâtel in Switzerland under the supervision of Prof. Philip Brunner and Prof. Daniel Hunkeler in 2013. After my PhD, I was working as a Postdoctoral Fellow at Swiss Federal Institute of Aquatic Science and Technology (Eawag) in Switzerland. From 2017-2019 I was a part of the Hydrogeology and Contaminant hydrology group with own funding, which allowed me to conduct research with a strong collaboration with industrial partners. After I was working as a project leader in hydrogeology at Nagra (National Cooperative for the Disposal of Radioactive Waste; 2019-2020), I am currently responsible for the CH-GNet (Swiss Groundwater Network).The primary goal of the CH-GNet is to bundle, promote and streamline groundwater research within Switzerland to anchor groundwater as theme and make the network operational. We want to identify challenges and gaps and we aim at the use of common research infrastructure.

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Curriculum Vitae

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Address

E-Mail: christian.moeck@eawag.ch
Phone: +41 58 765 5788
Fax: +41 58 765 5802
Address: Eawag
Überlandstrasse 133
8600 Dübendorf
Office: BU D05.1

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Focalpoints

  • Impact of climate change on water resources
  • Modelling of groundwater flow and transport
  • Groundwater recharge modelling
  • Parameter uncertainty analysis

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