Articles | Volume 21, issue 5
https://doi.org/10.5194/hess-21-2421-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2421-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 May 2017
Research article |
| 09 May 2017
Characterizing the spatiotemporal variability of groundwater levels of alluvial aquifers in different settings using drought indices
Johannes Christoph Haas
CORRESPONDING AUTHOR
Institute of Earth Sciences, NAWI Graz Geocenter, University of
Graz, Graz, Austria
FWF-DK Climate Change, University of Graz, Graz,
Austria
Steffen Birk
Institute of Earth Sciences, NAWI Graz Geocenter, University of
Graz, Graz, Austria
FWF-DK Climate Change, University of Graz, Graz,
Austria
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Cited
25 citations as recorded by crossref.
- Importance of stopping groundwater irrigation for balancing agriculture and wetland ecosystem D. Li et al. 10.1016/j.ecolind.2021.107747
- Early Warning Indicators of Groundwater Drought in Mountainous Regions A. Gullacher et al. 10.1029/2022WR033399
- Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data R. Adnan et al. 10.1080/10106049.2022.2158951
- An assessment of trends and potential future changes in groundwater-baseflow drought based on catchment response times J. Hellwig & K. Stahl 10.5194/hess-22-6209-2018
- Inconsistent hydrological trends do not necessarily imply spatially heterogeneous drivers G. Lischeid et al. 10.1016/j.jhydrol.2021.126096
- Analysis of hydrological data with correlation matrices: technical implementation and possible applications J. Haas et al. 10.1007/s12665-018-7469-4
- Managed aquifer recharge as a drought mitigation strategy in heavily-stressed aquifers D. Wendt et al. 10.1088/1748-9326/abcfe1
- Long-Term Groundwater Level Prediction Model Based on Hybrid KNN-RF Technique O. Kombo et al. 10.3390/hydrology7030059
- Trends in Austrian groundwater – Climate or human impact? J. Haas & S. Birk 10.1016/j.ejrh.2019.100597
- Application of the D-A-(C) index as a simple tool for microbial-ecological characterization and assessment of groundwater ecosystems—a case study of the Mur River Valley, Austria A. Retter et al. 10.1007/s00506-021-00799-5
- Artificial Neural Network Optimized with a Genetic Algorithm for Seasonal Groundwater Table Depth Prediction in Uttar Pradesh, India K. Pandey et al. 10.3390/su12218932
- Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors X. Zhang et al. 10.1016/j.scitotenv.2022.156021
- From the Mountain to the Valley: Drivers of Groundwater Prokaryotic Communities along an Alpine River Corridor A. Retter et al. 10.3390/microorganisms11030779
- Impacts of long-term climate change on the groundwater flow dynamics in a regional groundwater system: Case modeling study in Alashan, China P. Zhou et al. 10.1016/j.jhydrol.2020.125557
- Identification of the Space-Time Variability of Hydrological Drought in the Arid Region of Northwestern China H. Wang et al. 10.3390/w11051051
- Asymmetric impact of groundwater use on groundwater droughts D. Wendt et al. 10.5194/hess-24-4853-2020
- WITHDRAWN: Mapping the groundwater memory across Ireland: a step towards a groundwater drought susceptibility assessment P. Schuler et al. 10.1016/j.hydroa.2022.100131
- Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran) M. Saroughi et al. 10.1016/j.heliyon.2024.e29006
- Mapping the groundwater memory across Ireland: A step towards a groundwater drought susceptibility assessment P. Schuler et al. 10.1016/j.jhydrol.2022.128277
- Review: The influence of global change on Europe’s water cycle and groundwater recharge T. Riedel & T. Weber 10.1007/s10040-020-02165-3
- Hydrological drought forecasts using precipitation data depend on catchment properties and human activities S. Sutanto et al. 10.1038/s43247-024-01295-w
- Groundwater and baseflow drought responses to synthetic recharge stress tests J. Hellwig et al. 10.5194/hess-25-1053-2021
- Insights into the Interconnected Dynamics of Groundwater Drought and InSAR-Derived Subsidence in the Marand Plain, Northwestern Iran S. Shahnazi et al. 10.3390/rs17071173
- Drivers and characteristics of groundwater drought under human interventions in arid and semiarid areas of China X. Ren et al. 10.1016/j.jhydrol.2024.130839
- A novel implementation of pre-processing approaches and hybrid kernel-based model for short- and long-term groundwater drought forecasting S. Shahnazi et al. 10.1016/j.jhydrol.2025.132667
25 citations as recorded by crossref.
- Importance of stopping groundwater irrigation for balancing agriculture and wetland ecosystem D. Li et al. 10.1016/j.ecolind.2021.107747
- Early Warning Indicators of Groundwater Drought in Mountainous Regions A. Gullacher et al. 10.1029/2022WR033399
- Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data R. Adnan et al. 10.1080/10106049.2022.2158951
- An assessment of trends and potential future changes in groundwater-baseflow drought based on catchment response times J. Hellwig & K. Stahl 10.5194/hess-22-6209-2018
- Inconsistent hydrological trends do not necessarily imply spatially heterogeneous drivers G. Lischeid et al. 10.1016/j.jhydrol.2021.126096
- Analysis of hydrological data with correlation matrices: technical implementation and possible applications J. Haas et al. 10.1007/s12665-018-7469-4
- Managed aquifer recharge as a drought mitigation strategy in heavily-stressed aquifers D. Wendt et al. 10.1088/1748-9326/abcfe1
- Long-Term Groundwater Level Prediction Model Based on Hybrid KNN-RF Technique O. Kombo et al. 10.3390/hydrology7030059
- Trends in Austrian groundwater – Climate or human impact? J. Haas & S. Birk 10.1016/j.ejrh.2019.100597
- Application of the D-A-(C) index as a simple tool for microbial-ecological characterization and assessment of groundwater ecosystems—a case study of the Mur River Valley, Austria A. Retter et al. 10.1007/s00506-021-00799-5
- Artificial Neural Network Optimized with a Genetic Algorithm for Seasonal Groundwater Table Depth Prediction in Uttar Pradesh, India K. Pandey et al. 10.3390/su12218932
- Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors X. Zhang et al. 10.1016/j.scitotenv.2022.156021
- From the Mountain to the Valley: Drivers of Groundwater Prokaryotic Communities along an Alpine River Corridor A. Retter et al. 10.3390/microorganisms11030779
- Impacts of long-term climate change on the groundwater flow dynamics in a regional groundwater system: Case modeling study in Alashan, China P. Zhou et al. 10.1016/j.jhydrol.2020.125557
- Identification of the Space-Time Variability of Hydrological Drought in the Arid Region of Northwestern China H. Wang et al. 10.3390/w11051051
- Asymmetric impact of groundwater use on groundwater droughts D. Wendt et al. 10.5194/hess-24-4853-2020
- WITHDRAWN: Mapping the groundwater memory across Ireland: a step towards a groundwater drought susceptibility assessment P. Schuler et al. 10.1016/j.hydroa.2022.100131
- Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran) M. Saroughi et al. 10.1016/j.heliyon.2024.e29006
- Mapping the groundwater memory across Ireland: A step towards a groundwater drought susceptibility assessment P. Schuler et al. 10.1016/j.jhydrol.2022.128277
- Review: The influence of global change on Europe’s water cycle and groundwater recharge T. Riedel & T. Weber 10.1007/s10040-020-02165-3
- Hydrological drought forecasts using precipitation data depend on catchment properties and human activities S. Sutanto et al. 10.1038/s43247-024-01295-w
- Groundwater and baseflow drought responses to synthetic recharge stress tests J. Hellwig et al. 10.5194/hess-25-1053-2021
- Insights into the Interconnected Dynamics of Groundwater Drought and InSAR-Derived Subsidence in the Marand Plain, Northwestern Iran S. Shahnazi et al. 10.3390/rs17071173
- Drivers and characteristics of groundwater drought under human interventions in arid and semiarid areas of China X. Ren et al. 10.1016/j.jhydrol.2024.130839
- A novel implementation of pre-processing approaches and hybrid kernel-based model for short- and long-term groundwater drought forecasting S. Shahnazi et al. 10.1016/j.jhydrol.2025.132667
Latest update: 24 Apr 2025
Short summary
We show that the variability of groundwater levels within an Alpine river valley is more strongly affected by human impacts on rivers than by extreme events in precipitation. The influence of precipitation is found to be more pronounced in the shallow wells of the Alpine foreland. Groundwater levels, river stages and precipitation behave more similar under drought than under flood conditions and generally exhibit a tendency towards more similar behavior in the most recent decade.
We show that the variability of groundwater levels within an Alpine river valley is more...
