The 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.
Deliverables
List of deliverables.
Field test of novel techniques for quantifying water content spatial distributions and temporal fluctuations
Documents, reports
2019-06-17 13:21:28
4th Workshop
Documents, reports
2019-06-17 13:21:28
Report on joint inversion procedures for multiple and disparate datasets (soft and hard data) with realistic subsurface structure reconstruction methods
Documents, reports
2019-06-17 13:21:28
3rd Workshop
Documents, reports
2019-06-17 13:21:28
Report: Critical assessment of emerging techniques for in situ monitoring of water content and fluxes
Documents, reports
2019-06-17 13:21:28
Progress report
Documents, reports
2019-06-17 13:21:28
Mid-term report
Documents, reports
2019-06-17 13:21:28
Completion of the recruitment process
Other
2019-06-17 13:21:28
ENIGMA summer school
Documents, reports
2019-06-17 13:21:28
Validated algorithms for fully coupled 3-D inversion for tomographic datasets
Satoshi Izumoto, Johan Alexander Huisman, Yuxin Wu, Harry Vereecken Effect of solute concentration on the spectral induced polarization response of calcite precipitation published pages: 1187-1196, ISSN: 0956-540X, DOI: 10.1093/gji/ggz515
Geophysical Journal International Volume 220, Issue 2
Joel Tirado-Conde, Peter Engesgaard, Sachin Karan, Sascha Müller, Carlos Duque Evaluation of Temperature Profiling and Seepage Meter Methods for Quantifying Submarine Groundwater Discharge to Coastal Lagoons: Impacts of Saltwater Intrusion and the Associated Thermal Regime published pages: 1648, ISSN: 2073-4441, DOI: 10.3390/w11081648
Water 11/8
2019-11-22
2019
Duque, Jessen, Tirado-Conde, Karan, Engesgaard Application of Stable Isotopes of Water to Study Coupled Submarine Groundwater Discharge and Nutrient Delivery published pages: 1842, ISSN: 2073-4441, DOI: 10.3390/w11091842
Water 11/9
2019-11-22
2019
Richard Hoffmann, Alain Dassargues, Pascal Goderniaux, Thomas Hermans Heterogeneity and Prior Uncertainty Investigation Using a Joint Heat and Solute Tracer Experiment in Alluvial Sediments published pages: , ISSN: 2296-6463, DOI: 10.3389/feart.2019.00108
Frontiers in Earth Science 7
2019-07-30
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