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1
Field Screening Europe 2001
Field Screening Europe 2001
Material Type:
Libro 		Añadir a Mi Portal

Field Screening Europe 2001

Wolfgang Breh Johannes Gottlieb; Heinz Hötzl; Frieder Kern; Tanja Liesch; Reinhard Niessner

Springer Netherlands 2002

Acceso en línea

2
On the Optimal Spatial Design for Groundwater Level Monitoring Networks
On the Optimal Spatial Design for Groundwater Level Monitoring Networks
Material Type:
Artículo 		Añadir a Mi Portal

On the Optimal Spatial Design for Groundwater Level Monitoring Networks

Ohmer, M. ; Liesch, T. ; Goldscheider, N.

Water resources research, 2019-11, Vol.55 (11), p.9454-9473 [Revista revisada por pares]

Washington: John Wiley & Sons, Inc

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3
Isotopic constraints on water source mixing, network leakage and contamination in an urban groundwater system
Isotopic constraints on water source mixing, network leakage and contamination in an urban groundwater system
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Isotopic constraints on water source mixing, network leakage and contamination in an urban groundwater system

Grimmeisen, F. ; Lehmann, M.F. ; Liesch, T. ; Goeppert, N. ; Klinger, J. ; Zopfi, J. ; Goldscheider, N.

The Science of the total environment, 2017-04, Vol.583, p.202-213 [Revista revisada por pares]

Netherlands: Elsevier B.V

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4
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
Material Type:
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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

Hydrology and earth system sciences, 2021-04, Vol.25 (3), p.1671-1687 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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5
Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning
Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning
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Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning

Wunsch, Andreas ; Liesch, Tanja ; Goldscheider, Nico

Hydrology and earth system sciences, 2024-05, Vol.28 (9), p.2167-2178 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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6
On the challenges of global entity-aware deep learning models for groundwater level prediction
On the challenges of global entity-aware deep learning models for groundwater level prediction
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On the challenges of global entity-aware deep learning models for groundwater level prediction

Heudorfer, Benedikt ; Liesch, Tanja ; Broda, Stefan

Hydrology and earth system sciences, 2024-02, Vol.28 (3), p.525-543 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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7
Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods
Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods
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Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods

Ohmer, Marc ; Liesch, Tanja ; Wunsch, Andreas

Hydrology and earth system sciences, 2022-08, Vol.26 (15), p.4033-4053 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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8
Karst spring discharge modeling based on deep learning using spatially distributed input data
Karst spring discharge modeling based on deep learning using spatially distributed input data
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Karst spring discharge modeling based on deep learning using spatially distributed input data

Wunsch, Andreas ; Liesch, Tanja ; Cinkus, Guillaume ; Ravbar, NataÅ¡a ; Chen, Zhao ; Mazzilli, Naomi ; Jourde, Hervé ; Goldscheider, Nico

Hydrology and earth system sciences, 2022-05, Vol.26 (9), p.2405-2430 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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9
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
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When best is the enemy of good – critical evaluation of performance criteria in hydrological models

Cinkus, Guillaume ; Mazzilli, Naomi ; Jourde, Hervé ; Wunsch, Andreas ; Liesch, Tanja ; Ravbar, NataÅ¡a ; Chen, Zhao ; Goldscheider, Nico

Hydrology and earth system sciences, 2023-07, Vol.27 (13), p.2397-2411 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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10
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
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Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions

Cinkus, Guillaume ; Wunsch, Andreas ; Mazzilli, Naomi ; Liesch, Tanja ; Chen, Zhao ; Ravbar, NataÅ¡a ; Doummar, Joanna ; Fernández-Ortega, Jaime ; Barberá, Juan Antonio ; Andreo, Bartolomé ; Goldscheider, Nico ; Jourde, Hervé

Hydrology and earth system sciences, 2023-05, Vol.27 (10), p.1961-1985 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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por este autor/creador:

  1. Gottlieb, J
  2. Kern, F
  3. Liesch, T
  4. Hötzl, H
  5. Breh, W

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