000822730 001__ 822730
000822730 005__ 20230207130422.0
000822730 0247_ $$2CORDIS$$aG:(EU-Grant)722028$$d722028
000822730 0247_ $$2CORDIS$$aG:(EU-Call)H2020-MSCA-ITN-2016$$dH2020-MSCA-ITN-2016
000822730 0247_ $$2originalID$$acorda__h2020::722028
000822730 035__ $$aG:(EU-Grant)722028
000822730 150__ $$aEuropean training Network for In situ imaGing of dynaMic processes in heterogeneous subsurfAce environments$$y2017-01-01 - 2021-01-31
000822730 371__ $$aUniversity of Lausanne$$bUNIL$$dSwitzerland$$ehttp://www.unil.ch/central/en/home.html$$vCORDIS
000822730 371__ $$aItasca Consultants$$bItasca Consultants$$dFrance$$ehttp://www.itasca.fr/$$vCORDIS
000822730 371__ $$aIT University of Copenhagen$$bIT University of Copenhagen$$dDenmark$$ehttp://en.itu.dk/$$vCORDIS
000822730 371__ $$aUniversité de Montpellier$$bUNIVERSITE DE MONTPELLIER$$dFrance$$ehttps://www.umontpellier.fr/$$vCORDIS
000822730 371__ $$aMuquans (France)$$bMuquans (France)$$dFrance$$ehttps://www.muquans.com$$vCORDIS
000822730 371__ $$aHelmholtz-Zentrum für Umweltforschung GmbH - UFZ$$bUFZ$$dGermany$$ehttps://www.ufz.de/$$vCORDIS
000822730 371__ $$aCNRS - Institut des Sciences Biologiques$$bINSB$$dFrance$$ehttp://www.cnrs.fr/insb/$$vCORDIS
000822730 371__ $$aEberhard Karls University Tuebingen$$bEKUT$$dGermany$$ehttp://www.uni-tuebingen.de$$vCORDIS
000822730 371__ $$aUniversity of Liège$$bUniversity of Liège$$dBelgium$$ehttps://www.uliege.be/cms/c_8699436/fr/portail-uliege$$vCORDIS
000822730 371__ $$aUniversity of Neuchâtel$$bUniversity of Neuchâtel$$dSwitzerland$$ehttp://www2.unine.ch/$$vCORDIS
000822730 371__ $$aForschungszentrum Jülich$$bForschungszentrum Jülich$$dGermany$$ehttps://www.ptj.de/$$vCORDIS
000822730 371__ $$aAGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS$$bCSIC$$dSpain$$ehttp://www.csic.es$$vCORDIS
000822730 372__ $$aH2020-MSCA-ITN-2016$$s2017-01-01$$t2021-01-31
000822730 450__ $$aENIGMA$$wd$$y2017-01-01 - 2021-01-31
000822730 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000822730 680__ $$aThe ENIGMA network will train a new generation of young researchers in the development of innovative sensors, field survey techniques and inverse modelling approaches. This will enhance our ability to understand and monitor dynamic subsurface processes that are key to the protection and sustainable use of water resources. ENIGMA focuses mainly on critical zone observation, but the anticipated technological developments and scientific findings will also contribute to monitor and model the environmental footprint of an increasing range of subsurface activities, including large-scale water abstraction and storage, enhanced geothermal systems and subsurface waste and carbon storage. While many subsurface structure imaging methods are now mature and broadly used in research and practice, our ability to resolve and monitor subsurface fluxes and processes, including solute transport, heat transfer and biochemical reactions, is much more limited. The shift from classical structure characterization to dynamic process imaging, driven by ENIGMA, will require the development of multi-scale hydrogeophysical methods with adequate sensitivity, spatial and temporal resolution, and novel inverse modelling concepts. For this, ENIGMA will gather (i) world-leading academic teams and emerging companies that develop innovative sensors and hydrogeophysical inversion methods, (ii) experts in subsurface process upscaling and modelling, and (iii) highly instrumented field infrastructures for in-situ experimentation and validation. ENIGMA will thus create a creative and entrepreneurial environment for trainees to develop integrated approaches to water management with interdisciplinary field-sensing methods and novel modelling techniques. ENIGMA will foster EU and international cooperation in the water area by creating new links between hydrogeological observatories, academic research groups, innovative industries and water managers for high-level scientific and professional training.
000822730 909CO $$ooai:juser.fz-juelich.de:822730$$pauthority$$pauthority:GRANT
000822730 970__ $$aoai:dnet:corda__h2020::849c073db17a471b73572f7888a2c4d7
000822730 980__ $$aG
000822730 980__ $$aCORDIS
000822730 980__ $$aAUTHORITY