Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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11 |
Material Type: Artigo
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Application of machine learning and deep neural networks for spatial prediction of groundwater nitrate concentration to improve land use management practicesKarimanzira, Divas ; Weis, Jonas ; Wunsch, Andreas ; Ritzau, Linda ; Liesch, Tanja ; Ohmer, MarcFrontiers in water, 2023-07, Vol.5 [Periódico revisado por pares]Frontiers Media S.ATexto completo disponível |
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12 |
Material Type: Artigo
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Uranium in groundwater — Fertilizers versus geogenic sourcesLiesch, Tanja ; Hinrichsen, Sören ; Goldscheider, NicoThe Science of the total environment, 2015-12, Vol.536, p.981-995 [Periódico revisado por pares]Netherlands: Elsevier B.VTexto completo disponível |
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13 |
Material Type: Artigo
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Berechnung von Temperaturfahnen im Grundwasser mit analytischen und numerischen ModellenOhmer, Marc ; Klester, Artur ; Kissinger, Alexander ; Mirbach, Stefan ; Class, Holger ; Schneider, Martin ; Lindenlaub, Martin ; Bauer, Michael ; Liesch, Tanja ; Menberg, Kathrin ; Blum, PhilippGrundwasser, 2022-06, Vol.27 (2), p.113-129 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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14 |
Material Type: Artigo
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Erratum zu: Berechnung von Temperaturfahnen im Grundwasser mit analytischen und numerischen ModellenOhmer, Marc ; Klester, Artur ; Kissinger, Alexander ; Mirbach, Stefan ; Class, Holger ; Schneider, Martin ; Lindenlaub, Martin ; Bauer, Michael ; Liesch, Tanja ; Menberg, Kathrin ; Blum, PhilippGrundwasser, 2022-06, Vol.27 (2), p.149-150 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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15 |
Material Type: Artigo
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Influence of sediments burying the discharge area of a karst aquifer on the groundwater flow field—Numerical testing of conceptual modelsOhmer, Marc ; Liesch, Tanja ; Goldscheider, NicoHydrological processes, 2023-12, Vol.37 (12), p.n/a [Periódico revisado por pares]Hoboken, USA: John Wiley & Sons, IncTexto completo disponível |
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16 |
Material Type: Artigo
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Global analysis of land-use changes in karst areas and the implications for water resourcesZhang, Jiawen ; Liesch, Tanja ; Chen, Zhao ; Goldscheider, NicoHydrogeology journal, 2023-08, Vol.31 (5), p.1197-1208 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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17 |
Material Type: Artigo
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Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learningWunsch, Andreas ; Liesch, Tanja ; Goldscheider, NicoHydrology and earth system sciences, 2024-05, Vol.28 (9), p.2167-2178 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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18 |
Material Type: Artigo
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On the challenges of global entity-aware deep learning models for groundwater level predictionHeudorfer, Benedikt ; Liesch, Tanja ; Broda, StefanHydrology and earth system sciences, 2024-02, Vol.28 (3), p.525-543 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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19 |
Material Type: Artigo
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Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methodsOhmer, Marc ; Liesch, Tanja ; Wunsch, AndreasHydrology and earth system sciences, 2022-08, Vol.26 (15), p.4033-4053 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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20 |
Material Type: Artigo
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On the optimal selection of interpolation methods for groundwater contouring: An example of propagation of uncertainty regarding inter-aquifer exchangeOhmer, Marc ; Liesch, Tanja ; Goeppert, Nadine ; Goldscheider, NicoAdvances in water resources, 2017-11, Vol.109, p.121-132 [Periódico revisado por pares]Oxford: Elsevier LtdTexto completo disponível |