Hauptseite > Publikationsdatenbank > Scientific deliverable Enigma ITN:Report on process-based geophysical methodologies to monitoring subsurface processes > print |
001 | 889983 | ||
005 | 20210127115421.0 | ||
024 | 7 | _ | |a 2128/26920 |2 Handle |
037 | _ | _ | |a FZJ-2021-00578 |
041 | _ | _ | |a English |
088 | _ | _ | |a Enigma ITN D4.3/D11 |2 Other |
100 | 1 | _ | |a Linde, Niklas |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
245 | _ | _ | |a Scientific deliverable Enigma ITN:Report on process-based geophysical methodologies to monitoring subsurface processes |
260 | _ | _ | |c 2019 |b European Commission CORDIS |
300 | _ | _ | |a 39 |
336 | 7 | _ | |a report |2 DRIVER |
336 | 7 | _ | |a REPORT |2 ORCID |
336 | 7 | _ | |a Report |0 10 |2 EndNote |
336 | 7 | _ | |a Output Types/Report |2 DataCite |
336 | 7 | _ | |a Report |b report |m report |0 PUB:(DE-HGF)29 |s 1611323357_26190 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a TECHREPORT |2 BibTeX |
520 | _ | _ | |a The identified activities are to (i) develop an upscaling framework for quantifying the impact of spreading and mixing on geophysical signals (ESR9), (ii) develop quantitative inversion of SIP signals induced by biochemical processes (ESR12) and (iii) enhance resolution of time lapse geophysical imaging of transport with new experimental and inversion strategies (ESR10, ESR11). In the following report, we start by discussing the ongoing laboratory experiments and associated theoretical developments (ESR9 and 10), before moving to crosshole time-lapse GPR (ESR10) and finally to the use of innovative traces (ESR11) to image transport processes. In this way, we will naturally move from the pore scale and the scale of representative elementary volumes (REV), to metric scale and finally to larger field scales. |
536 | _ | _ | |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) |0 G:(DE-HGF)POF3-255 |c POF3-255 |f POF III |x 0 |
536 | _ | _ | |a ENIGMA - European training Network for In situ imaGing of dynaMic processes in heterogeneous subsurfAce environments (722028) |0 G:(EU-Grant)722028 |c 722028 |f H2020-MSCA-ITN-2016 |x 1 |
700 | 1 | _ | |a Haruzi, Peleg |0 P:(DE-Juel1)173026 |b 1 |u fzj |
700 | 1 | _ | |a Izumoto, Satoshi |0 P:(DE-Juel1)172900 |b 2 |u fzj |
700 | 1 | _ | |a Visentini, Alejandro Fernandez |0 P:(DE-HGF)0 |b 3 |
700 | 1 | _ | |a Hoffmann, Richard |0 P:(DE-HGF)0 |b 4 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/889983/files/Enigma_ITN_Deliverable%20D4_3-D11.pdf |y OpenAccess |
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910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)173026 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)172900 |
913 | 1 | _ | |a DE-HGF |b Erde und Umwelt |l Terrestrische Umwelt |1 G:(DE-HGF)POF3-250 |0 G:(DE-HGF)POF3-255 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-200 |4 G:(DE-HGF)POF |v Terrestrial Systems: From Observation to Prediction |x 0 |
914 | 1 | _ | |y 2020 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)IBG-3-20101118 |k IBG-3 |l Agrosphäre |x 0 |
980 | _ | _ | |a report |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
980 | 1 | _ | |a FullTexts |
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