Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anders V. Christiansen"'
Autor:
Birgitte Hansen, Jens Aamand, Gitte Blicher-Mathiesen, Anders V. Christiansen, Niels Claes, Tommy Dalgaard, Rasmus R. Frederiksen, Brian H. Jacobsen, Rasmus Jakobsen, Anders Kallesøe, Hyojin Kim, Julian Koch, Ingelise Møller, Rasmus B. Madsen, Stefan Schaper, Peter B. E. Sandersen, Denitza D. Voutchkova, Irene Wiborg
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Globally, food production for an ever-growing population is a well-known threat to the environment due to losses of excess reactive nitrogen (N) from agriculture. Since the 1980s, many countries of the Global North, such as Denmark, have suc
Externí odkaz:
https://doaj.org/article/d465332bd5ff436bb58336f85fd87d0e
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:
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:
Hafsa Mahmood, Ty P. A. Ferre, Raphael J. M. Schneider, Simon Stisen, Rasmus R. Frederiksen, Anders V. Christiansen
Temporal drain flow dynamics and their underlying controlling factors are important for understanding the needs for water resource management in tile drained agricultural areas. The use of physics-based water flow models to understand tile drained sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c981f325cf3f12b40a612a13651c299a
https://doi.org/10.5194/egusphere-egu23-8608
https://doi.org/10.5194/egusphere-egu23-8608
Autor:
Muhammad Rizwan Asif, Pradip K. Maurya, Nikolaj Foged, Jakob Juul Larsen, Esben Auken, Anders V. Christiansen
Publikováno v:
Asif, M R, Maurya, P K, Foged, N, Larsen, J J, Auken, E & Christiansen, A V 2022, ' Automated transient electromagnetic data processing for ground-based and airborne systems by a deep learning expert system ', IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 5919814 . https://doi.org/10.1109/TGRS.2022.3202304
Modern transient electromagnetic (TEM) surveys, either ground-based or airborne, may yield thousands of line kilometers of data. Parts of these data, especially in areas with dense infrastructure, are often disturbed by electromagnetic couplings due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77bc4f50ced11bea780f0054c875bb0a
https://pure.au.dk/portal/da/publications/automated-transient-electromagnetic-data-processing-for-groundbased-and-airborne-systems-by-a-deep-learning-expert-system(eb246b84-05c6-4be5-b7ce-1140d6ddd427).html
https://pure.au.dk/portal/da/publications/automated-transient-electromagnetic-data-processing-for-groundbased-and-airborne-systems-by-a-deep-learning-expert-system(eb246b84-05c6-4be5-b7ce-1140d6ddd427).html
Autor:
Adrian A. S. Barfod, Troels N. Vilhelmsen, Flemming Jørgensen, Anders V. Christiansen, Julien Straubhaar, Ingelise Møller
Forecasting the flow of groundwater requires a hydrostratigraphic model, which describes the architecture of the subsurface. State-of-the-art Multiple-Point Statistical (MPS) tools are readily available for creating models depicting subsurface geolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30a84977f456520b510e73e1e7b93e85
https://doi.org/10.5194/hess-2017-734
https://doi.org/10.5194/hess-2017-734
Publikováno v:
Preview. 2010:23-31
(2010). Accurate quasi 3D versus practical full 3D inversion of AEM data – the Bookpurnong case study. Preview: Vol. 2010, No. 149, pp. 23-31.