Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Troels Norvin Vilhelmsen"'
Publikováno v:
GEUS Bulletin, Vol 53, Pp 1-7 (2023)
Results from numerical simulations play a vital role in the decision process of everyday groundwater management. However, these simulations can be time-consuming for large-scale investigations, and it can be necessary to apply approximate methods ins
Externí odkaz:
https://doaj.org/article/4270ef95b2be4fd7aade2ce1600c615b
Publikováno v:
Frontiers in Water, Vol 5 (2023)
Groundwater resource management is an increasingly complicated task that is expected to only get harder and more important with future climate change and increasing water demands resulting in an increasing need for fast and accurate decision support
Externí odkaz:
https://doaj.org/article/0df81d23238645afa79d95bdabbd749a
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
Decision-making related to groundwater management often relies on results from a deterministic groundwater model representing one ‘optimal’ solution. However, such a single deterministic model lacks representation of subsurface uncertainties. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96b527a28671724a028652964cbf9b72
https://doi.org/10.5194/egusphere-egu23-6313
https://doi.org/10.5194/egusphere-egu23-6313
Autor:
Anders Vest Christiansen, Rasmus Bødker Madsen, Peter B.E. Sandersen, Thomas Mejer Hansen, Hyojin Kim, Ingelise Møller, Troels Norvin Vilhelmsen, Anders Juhl Kallesøe, Birgitte Hansen
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 2759-2787 (2021)
Madsen, R B, Kim, H, Kallesøe, A J, Sandersen, P B E, Vilhelmsen, T N, Hansen, T M, Christiansen, A V, Møller, I & Hansen, B 2021, ' 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures ', Hydrology and Earth System Sciences, vol. 25, no. 5, pp. 2759-2787 . https://doi.org/10.5194/hess-25-2759-2021
Madsen, R B, Kim, H, Kallesøe, A J, Sandersen, P B E, Vilhelmsen, T N, Hansen, T M, Christiansen, A V, Møller, I & Hansen, B 2021, ' 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures ', Hydrology and Earth System Sciences, vol. 25, no. 5, pp. 2759-2787 . https://doi.org/10.5194/hess-25-2759-2021
Nitrate contamination of subsurface aquifers is an ongoing environmental challenge due to nitrogen (N) leaching from intensive N fertilization and management on agricultural fields. The distribution and fate of nitrate in aquifers are primarily gover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7b995614e96a98d7a76fd5eb27efb0
https://doi.org/10.5194/hess-25-2759-2021
https://doi.org/10.5194/hess-25-2759-2021
Autor:
Niels Claes, Nikolaj Foged, Troels Norvin Vilhelmsen, Hyojin Kim, Rasmus Rumph Frederiksen, Anders Vest Christiansen
Detailed 3D structural information of the subsurface is fundamental for the development of both hydrological and geochemical models. This structural information is often derived from geophysical mapping results. Some parts of a catchments areas are h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41ea4514c50a769cfe25d9ccb833568c
https://doi.org/10.5194/egusphere-egu21-7420
https://doi.org/10.5194/egusphere-egu21-7420
Autor:
Rasmus Bødker Madsen, Hyojin Kim, Anders Juhl Kallesøe, Peter B. E. Sandersen, Troels Norvin Vilhelmsen, Thomas Mejer Hansen, Anders Vest Christiansen, Ingelise Møller, Birgitte Hansen
Nitrate contamination of subsurface aquifers is an ongoing environmental challenge due to nitrogen (N) losses from intensive N fertilization and management on agricultural fields. The distribution and fate of nitrate in aquifers are primarily governe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::068c0e1fb8e6001d91140feab47834a3
https://doi.org/10.5194/hess-2020-444
https://doi.org/10.5194/hess-2020-444
Publikováno v:
Groundwater. 56:399-412
Hydrological models are often set up to provide specific forecasts of interest. Owing to the inherent uncertainty in data used to derive model structure and used to constrain parameter variations, the model forecasts will be uncertain. Additional dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4de6265df30a6fa8dea3f0841d8ed38d
https://doi.org/10.1111/gwat.12595
https://doi.org/10.1111/gwat.12595
Autor:
Anders Vest Christiansen, Troels Norvin Vilhelmsen, Esben Auken, Peter Bauer-Gottwein, Adrian A. S. Barfod, Pernille Aabye Marker
Publikováno v:
Frontiers in Earth Science, Vol 7 (2019)
Vilhelmsen, T N, Auken, E, Christiansen, A V, Barfod, A S, Marker, P A & Bauer-Gottwein, P 2019, ' Combining clustering methods with MPS to estimate structural uncertainty for hydrological models ', Frontiers in Earth Science, vol. 7, 181 . https://doi.org/10.3389/feart.2019.00181
Vilhelmsen, T N, Auken, E, Christiansen, A V, Barfod, A S, Marker, P A & Bauer-Gottwein, P 2019, ' Combining Clustering Methods With MPS to Estimate Structural Uncertainty for Hydrological Models ', Frontiers in Earth Science, vol. 7, 181 . https://doi.org/10.3389/feart.2019.00181
Vilhelmsen, T N, Auken, E, Christiansen, A V, Barfod, A S, Marker, P A & Bauer-Gottwein, P 2019, ' Combining clustering methods with MPS to estimate structural uncertainty for hydrological models ', Frontiers in Earth Science, vol. 7, 181 . https://doi.org/10.3389/feart.2019.00181
Vilhelmsen, T N, Auken, E, Christiansen, A V, Barfod, A S, Marker, P A & Bauer-Gottwein, P 2019, ' Combining Clustering Methods With MPS to Estimate Structural Uncertainty for Hydrological Models ', Frontiers in Earth Science, vol. 7, 181 . https://doi.org/10.3389/feart.2019.00181
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::99518fad98b4f99680561bed39765a2b
https://www.frontiersin.org/article/10.3389/feart.2019.00181/full
https://www.frontiersin.org/article/10.3389/feart.2019.00181/full
Publikováno v:
Ground water, vol 57, iss 4
Safi, A, Vilhelmsen, T N, Alameddine, I, Abou Najm, M & El-Fadel, M 2019, ' Data-Worth Assessment for a Three-Dimensional Optimal Design in Nonlinear Groundwater Systems ', Ground Water, vol. 57, no. 4, pp. 612-631 . https://doi.org/10.1111/gwat.12835
Safi, A, Vilhelmsen, T N, Alameddine, I, Abou Najm, M & El-Fadel, M 2018, ' Data-Worth Assessment for a Three-Dimensional Optimal Design in Nonlinear Groundwater Systems ' Groundwater . https://doi.org/10.1111/gwat.12835
Safi, A, Vilhelmsen, T N, Alameddine, I, Abou Najm, M & El-Fadel, M 2019, ' Data-Worth Assessment for a Three-Dimensional Optimal Design in Nonlinear Groundwater Systems ', Ground Water, vol. 57, no. 4, pp. 612-631 . https://doi.org/10.1111/gwat.12835
Safi, A, Vilhelmsen, T N, Alameddine, I, Abou Najm, M & El-Fadel, M 2018, ' Data-Worth Assessment for a Three-Dimensional Optimal Design in Nonlinear Groundwater Systems ' Groundwater . https://doi.org/10.1111/gwat.12835
Groundwater model predictions are often uncertain due to inherent uncertainties in model input data. Monitored field data are commonly used to assess the performance of a model and reduce its prediction uncertainty. Given the high cost of data collec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1050ceaaa8a220bfcf645c636ade659d
https://escholarship.org/uc/item/4jn560kj
https://escholarship.org/uc/item/4jn560kj