Zobrazeno 1 - 10
of 536
pro vyhledávání: '"Esben Auken"'
Autor:
Muhammad Rizwan Asif, Thue S. Bording, Adrian S. Barfod, Denys J. Grombacher, Pradip K. Maurya, Anders V. Christiansen, Esben Auken, Jakob J. Larsen
Publikováno v:
IEEE Access, Vol 9, Pp 34635-34646 (2021)
Geophysical modelling and data inversion are important tools for interpreting the physical properties of Earth's subsurface. Solving the inverse problem involves several computational steps and is generally a time consuming task. Artificial neural ne
Externí odkaz:
https://doaj.org/article/94acec56a57c41ebb0181ffe9648f07f
Autor:
Kenneth D. Mankoff, Dirk van As, Austin Lines, Thue Bording, Joshua Elliott, Rune Kraghede, Hubert Cantalloube, Hélène Oriot, Pascale Dubois-Fernandez, Olivier Ruault du Plessis, Anders Vest Christiansen, Esben Auken, Karina Hansen, William Colgan, Nanna B. Karlsson
Publikováno v:
Journal of Glaciology, Vol 66, Pp 496-508 (2020)
On 30 September 2017, an Air France Airbus A380-800 suffered a failure of its fourth engine while over Greenland. This failure resulted in the loss of the engine fan hub, fan blades and surrounding structure. An initial search recovered 30 pieces of
Externí odkaz:
https://doaj.org/article/b21f5ae484e24ff1b0503e3a7a36f723
Autor:
Anders V. Christiansen, Rasmus R. Frederiksen, Troels N. Vilhelmsen, Steen Christensen, Pradip Kumar Maurya, Birgitte Hansen, Hyojin Kim, Anne-Sophie Høyer, Jens Aamand, Rasmus Jakobsen, Christen D. Børgesen, Brian H. Jacobsen, Esben Auken
Publikováno v:
Christiansen, A V, Frederiksen, R R, Vilhelmsen, T N, Christensen, S, Maurya, P K, Hansen, B, Kim, H, Høyer, A S, Aamand, J, Jakobsen, R, Børgesen, C D, Jacobsen, B H & Auken, E 2023, ' N-Map : High-resolution groundwater N-retention mapping and modelling by integration of geophysical, geological, geochemical, and hydrological data ', Journal of Environmental Management, vol. 343, 118126 . https://doi.org/10.1016/j.jenvman.2023.118126
A key aspect of protecting aquatic ecosystems from agricultural nitrogen (N) is to locate (i) farmlands where nitrate leaches from the bottom of the root zone and (ii) denitrifying zones in the aquifers where nitrate is removed before entering the su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b8f28b30d9d91eb4aa616f2ae532799
https://pure.au.dk/portal/da/publications/nmap(e8d5e6a9-bc13-4c78-959b-2bbc050bc677).html
https://pure.au.dk/portal/da/publications/nmap(e8d5e6a9-bc13-4c78-959b-2bbc050bc677).html
Autor:
Troels Norvin Vilhelmsen, Esben Auken, Anders Vest Christiansen, Adrian Sanchez Barfod, Pernille Aabye Marker, Peter Bauer-Gottwein
Publikováno v:
Frontiers in Earth Science, Vol 7 (2019)
This study presents a novel expansion of the clay-fraction (CF)/resistivity clustering method aiming at developing realizations of subsurface structures based on multiple point statistics (MPS). The CF-resistivity clustering method is used to define
Externí odkaz:
https://doaj.org/article/5e2d658c78f444beb967e14fefe87968
Publikováno v:
Vadose Zone Journal, Vol 18, Iss 1 (2019)
In many places around the world, much attention is focused on managed aquifer recharge (MAR) because of reduced groundwater levels due to droughts. To assess the suitability of a site for MAR, detailed three-dimensional (3D) information about the sub
Externí odkaz:
https://doaj.org/article/4b9ad4a7e6d6459390afc66923531a31
Publikováno v:
Xiao, L, Gianluca, F, Bo, Z, Auken, E & Christiansen, A V 2022, ' Fast 2.5D and 3D Inversion of transient electromagnetic surveys using the octree-based finite element method ', Geophysics, vol. 87, no. 4, pp. E267-E277 . https://doi.org/10.1190/geo2021-0402.1
Two efficient implementations of 3D and 2.5D modeling and inversion are presented to be applicable to large-scale transient electromagnetic (TEM) method explorations. The key novel features are (1) forward response and Jacobian calculations are imple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5a4903b7f6a04156f5a2e5296c5d1c0
https://doi.org/10.1190/geo2021-0402.1
https://doi.org/10.1190/geo2021-0402.1
Autor:
Pradip Kumar Maurya, Frederik Ersted Christensen, Masson Andy Kass, Jesper B. Pedersen, Rasmus R. Frederiksen, Nikolaj Foged, Anders Vest Christiansen, Esben Auken
Publikováno v:
Maurya, P K, Christensen, F E, Kass, M A, Pedersen, J B, Frederiksen, R R, Foged, N, Christiansen, A V & Auken, E 2022, ' Technical note : Efficient imaging of hydrological units below lakes and fjords with a floating, transient electromagnetic (FloaTEM) system ', Hydrology and Earth System Sciences, vol. 26, no. 11, pp. 2813-2827 . https://doi.org/10.5194/hess-26-2813-2022
Imaging geological layers beneath lakes, rivers, and shallow seawater provides detailed information critical for hydrological modeling, geologic studies, contaminant mapping, and more. However, significant engineering and interpretation challenges ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::033d5c054c911d05b16d4903ba84db90
https://doi.org/10.5194/hess-26-2813-2022
https://doi.org/10.5194/hess-26-2813-2022
Autor:
Muhammad Rizwan Asif, Nikolaj Foged, Pradip Kumar Maurya, Denys James Grombacher, Anders Vest Christiansen, Esben Auken, Jakob Juul Larsen
Publikováno v:
Asif, M R, Foged, N, Maurya, P K, Grombacher, D, Christiansen, A V, Auken, E & Larsen, J J 2022, ' Integrating neural networks in least-squares inversion of airbornetime-domain electromagnetic data ', Geophysics, vol. 87, no. 4 . https://doi.org/10.1190/geo2021-0335.1
Asif, M R, Foged, N, Maurya, P K, Grombacher, D J, Christiansen, A V, Auken, E & Larsen, J J 2022, ' Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data ', Geophysics, vol. 87, no. 4, pp. E177-E187 . https://doi.org/10.1190/geo2021-0335.1
Asif, M R, Foged, N, Maurya, P K, Grombacher, D J, Christiansen, A V, Auken, E & Larsen, J J 2022, ' Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data ', Geophysics, vol. 87, no. 4, pp. E177-E187 . https://doi.org/10.1190/geo2021-0335.1
Airborne time-domain electromagnetic surveys produce extremely large data sets with thousands of line kilometers of data and millions of possible models to explain the data. Inversion of such data sets to obtain the resistivity structures of the subs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd9d1fe33a62cd97c82b5f3eb1090c6e
https://doi.org/10.1190/geo2021-0335.1
https://doi.org/10.1190/geo2021-0335.1
Autor:
Carol A. Finn, Paul A. Bedrosian, W. Steven Holbrook, Esben Auken, Benjamin R. Bloss, Jade Crosbie
Publikováno v:
Finn, C A, Bedrosian, P A, Holbrook, W S, Auken, E, Bloss, B R & Crosbie, J 2022, ' Geophysical imaging of the Yellowstone hydrothermal plumbing system ', Nature, vol. 603, pp. 643-647 . https://doi.org/10.1038/s41586-021-04379-1
The nature of Yellowstone National Park’s plumbing system linking deep thermal fluids to its legendary thermal features is virtually unknown. The prevailing concepts of Yellowstone hydrology and chemistry are that fluids reside in reservoirs with u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e0675b1827d25b2e7f3e71ff26ce652
https://doi.org/10.1038/s41586-021-04379-1
https://doi.org/10.1038/s41586-021-04379-1
Autor:
Kim Wann Engebretsen, Bo Zhang, Gianluca Fiandaca, Line Meldgaard Madsen, Esben Auken, Anders Vest Christiansen
Publikováno v:
Engebretsen, K W, Zhang, B, Fiandaca, G, Meldgaard Madsen, L, Auken, E & Christiansen, A V 2022, ' Accelerated 2.5-D inversion of airborne transient electromagnetic data using reduced 3-D meshing ', Geophysical Journal International, vol. 230, no. 1, pp. 643-653 . https://doi.org/10.1093/gji/ggac077, https://doi.org/10.1093/gji/ggac077
SUMMARY Airborne systems collecting transient electromagnetic data are able to gather large amounts of data over large areas in a very short time. These data are most often interpreted through 1-D inversions, due to the availability of robust, fast a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0a69781e939eb4aff9a73a9c912e6ce
https://doi.org/10.1093/gji/ggac077
https://doi.org/10.1093/gji/ggac077