Articles | Volume 24, issue 2
https://doi.org/10.5194/hess-24-501-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-501-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Feb 2020
Research article |
| 03 Feb 2020
| 03 Feb 2020
Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors
Christian Lehr
CORRESPONDING AUTHOR
Leibniz Centre for Agricultural Landscape Research (ZALF),
Müncheberg, Germany
Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany
Gunnar Lischeid
Leibniz Centre for Agricultural Landscape Research (ZALF),
Müncheberg, Germany
Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany
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Cited
16 citations as recorded by crossref.
- Rescue of groundwater level time series: How to visually identify and treat errors I. Retike et al. 10.1016/j.jhydrol.2021.127294
- Impact of Boundary Conditions Dynamics on Groundwater Budget in the Campania Region (Italy) M. Gaiolini et al. 10.3390/w14162462
- Assessing automated gap imputation of regional scale groundwater level data sets with typical gap patterns J. Bikše et al. 10.1016/j.jhydrol.2023.129424
- Toward a methodology to explore historical groundwater level trends and their origin: the case of Quebec, Canada A. Adombi et al. 10.1007/s12665-024-11466-9
- A causal physics-informed deep learning formulation for groundwater flow modeling and climate change effect analysis A. Adombi et al. 10.1016/j.jhydrol.2024.131370
- Sources and fate of dissolved sulphate, carbonate, and nitrate in groundwater of the temperate climate zone: a high-resolution multi-isotope (H, C, O, S) study in north-eastern Germany** A. Jenner et al. 10.1080/10256016.2025.2461474
- Regionale Dynamik der Pestizid-Konzentration unterhalb der Wurzelzone G. Lischeid et al. 10.1007/s00767-022-00534-1
- Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands E. Brakkee et al. 10.5194/hess-26-551-2022
- Comparative analysis of machine learning and analytical hierarchy analysis for artificial groundwater recharge map development R. Al-Ruzouq et al. 10.1007/s12665-023-11237-y
- Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency A. Adombi & R. Chesnaux 10.1007/s12665-024-12063-6
- Inconsistent hydrological trends do not necessarily imply spatially heterogeneous drivers G. Lischeid et al. 10.1016/j.jhydrol.2021.126096
- Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions M. Mautner et al. 10.5194/hess-26-1319-2022
- Disentangling coastal groundwater level dynamics in a global dataset A. Nolte et al. 10.5194/hess-28-1215-2024
- Differentiating between crop and soil effects on soil moisture dynamics H. Scholz et al. 10.5194/hess-28-2401-2024
- A dataset of groundwater level in the small watershed of Dinghushan Forest (2002 – 2020) P. LIU et al. 10.11922/11-6035.csd.2021.0078.zh
- Influence of past climatic conditions on groundwater levels in basement aquifers of the Sahel M. Kafando et al. 10.1007/s10040-024-02862-3
16 citations as recorded by crossref.
- Rescue of groundwater level time series: How to visually identify and treat errors I. Retike et al. 10.1016/j.jhydrol.2021.127294
- Impact of Boundary Conditions Dynamics on Groundwater Budget in the Campania Region (Italy) M. Gaiolini et al. 10.3390/w14162462
- Assessing automated gap imputation of regional scale groundwater level data sets with typical gap patterns J. Bikše et al. 10.1016/j.jhydrol.2023.129424
- Toward a methodology to explore historical groundwater level trends and their origin: the case of Quebec, Canada A. Adombi et al. 10.1007/s12665-024-11466-9
- A causal physics-informed deep learning formulation for groundwater flow modeling and climate change effect analysis A. Adombi et al. 10.1016/j.jhydrol.2024.131370
- Sources and fate of dissolved sulphate, carbonate, and nitrate in groundwater of the temperate climate zone: a high-resolution multi-isotope (H, C, O, S) study in north-eastern Germany** A. Jenner et al. 10.1080/10256016.2025.2461474
- Regionale Dynamik der Pestizid-Konzentration unterhalb der Wurzelzone G. Lischeid et al. 10.1007/s00767-022-00534-1
- Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands E. Brakkee et al. 10.5194/hess-26-551-2022
- Comparative analysis of machine learning and analytical hierarchy analysis for artificial groundwater recharge map development R. Al-Ruzouq et al. 10.1007/s12665-023-11237-y
- Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency A. Adombi & R. Chesnaux 10.1007/s12665-024-12063-6
- Inconsistent hydrological trends do not necessarily imply spatially heterogeneous drivers G. Lischeid et al. 10.1016/j.jhydrol.2021.126096
- Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions M. Mautner et al. 10.5194/hess-26-1319-2022
- Disentangling coastal groundwater level dynamics in a global dataset A. Nolte et al. 10.5194/hess-28-1215-2024
- Differentiating between crop and soil effects on soil moisture dynamics H. Scholz et al. 10.5194/hess-28-2401-2024
- A dataset of groundwater level in the small watershed of Dinghushan Forest (2002 – 2020) P. LIU et al. 10.11922/11-6035.csd.2021.0078.zh
- Influence of past climatic conditions on groundwater levels in basement aquifers of the Sahel M. Kafando et al. 10.1007/s10040-024-02862-3
Latest update: 02 Apr 2025
Short summary
A screening method for the fast identification of well-specific peculiarities in hydrographs of groundwater head monitoring networks is suggested and tested. The only information required is a set of time series of groundwater head readings all measured at the same instants of time. The results were used to check the data for measurement errors and to identify wells with possible anthropogenic influence.
A screening method for the fast identification of well-specific peculiarities in hydrographs of...
