Articles | Volume 19, issue 7
https://doi.org/10.5194/hess-19-2971-2015
© Author(s) 2015. 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-19-2971-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Jul 2015
Research article |
| 01 Jul 2015
Analyses of uncertainties and scaling of groundwater level fluctuations
X. Y. Liang
Center for Hydrosciences Research, Nanjing University, Nanjing, Jiangsu 210093, P. R. China
School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu 210093, P. R. China
Y.-K. Zhang
CORRESPONDING AUTHOR
Center for Hydrosciences Research, Nanjing University, Nanjing, Jiangsu 210093, P. R. China
School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu 210093, P. R. China
Department of Geoscience, University of Iowa, Iowa City, Iowa 52242, USA
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Cited
13 citations as recorded by crossref.
- An analytical model of vapor intrusion with fluctuated water table X. Liu et al. 10.1016/j.jhydrol.2021.126085
- Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data R. Adnan et al. 10.1080/10106049.2022.2158951
- Analysis of temporal variation and scaling of hydrological variables based on a numerical model of the Sagehen Creek watershed C. Yang et al. 10.1007/s00477-017-1421-0
- Groundwater Level Modeling Using Multiobjective Optimization with Hybrid Artificial Intelligence Methods F. Banadkooki & A. Haghighi 10.1007/s10666-023-09938-6
- Impacts of regional characteristics on improving the accuracy of groundwater level prediction using machine learning: The case of central eastern continental United States H. Cai et al. 10.1016/j.ejrh.2021.100930
- From Dynamic Groundwater Level Measurements to Regional Aquifer Parameters— Assessing the Power of Spectral Analysis T. Houben et al. 10.1029/2021WR031289
- Contrasting NO3-N concentration patterns at two karst springs in Iowa (USA): insights on aquifer nitrogen storage and delivery K. Schilling et al. 10.1007/s10040-019-01935-y
- The Hydrologic Response to a Meteotsunami in an Isolated Wetland: Beaver Island in Lake Michigan, USA W. Robertson et al. 10.1029/2022JC018611
- Fractal signatures of hydraulic head variations reveal aquifer heterogeneity X. Zhang et al. 10.1016/j.jhydrol.2025.134025
- Temporal scaling of long-term co-occurring agricultural contaminants and the implications for conservation planning X. Liang et al. 10.1088/1748-9326/ac19dd
- Sponge Basin Characteristics of the Original Ecosystem in Ziquejie Terraces and its Adaptive Water Supply and Demand Balance Mechanism L. Guiyuan et al. 10.1088/1755-1315/525/1/012066
- Technical Note: Three-dimensional transient groundwater flow due to localized recharge with an arbitrary transient rate in unconfined aquifers C. Chang et al. 10.5194/hess-20-1225-2016
- Effects of microtopography on patterns and dynamics of groundwater–surface water interactions Z. Lu & X. Yang 10.1016/j.advwatres.2024.104704
13 citations as recorded by crossref.
- An analytical model of vapor intrusion with fluctuated water table X. Liu et al. 10.1016/j.jhydrol.2021.126085
- Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data R. Adnan et al. 10.1080/10106049.2022.2158951
- Analysis of temporal variation and scaling of hydrological variables based on a numerical model of the Sagehen Creek watershed C. Yang et al. 10.1007/s00477-017-1421-0
- Groundwater Level Modeling Using Multiobjective Optimization with Hybrid Artificial Intelligence Methods F. Banadkooki & A. Haghighi 10.1007/s10666-023-09938-6
- Impacts of regional characteristics on improving the accuracy of groundwater level prediction using machine learning: The case of central eastern continental United States H. Cai et al. 10.1016/j.ejrh.2021.100930
- From Dynamic Groundwater Level Measurements to Regional Aquifer Parameters— Assessing the Power of Spectral Analysis T. Houben et al. 10.1029/2021WR031289
- Contrasting NO3-N concentration patterns at two karst springs in Iowa (USA): insights on aquifer nitrogen storage and delivery K. Schilling et al. 10.1007/s10040-019-01935-y
- The Hydrologic Response to a Meteotsunami in an Isolated Wetland: Beaver Island in Lake Michigan, USA W. Robertson et al. 10.1029/2022JC018611
- Fractal signatures of hydraulic head variations reveal aquifer heterogeneity X. Zhang et al. 10.1016/j.jhydrol.2025.134025
- Temporal scaling of long-term co-occurring agricultural contaminants and the implications for conservation planning X. Liang et al. 10.1088/1748-9326/ac19dd
- Sponge Basin Characteristics of the Original Ecosystem in Ziquejie Terraces and its Adaptive Water Supply and Demand Balance Mechanism L. Guiyuan et al. 10.1088/1755-1315/525/1/012066
- Technical Note: Three-dimensional transient groundwater flow due to localized recharge with an arbitrary transient rate in unconfined aquifers C. Chang et al. 10.5194/hess-20-1225-2016
- Effects of microtopography on patterns and dynamics of groundwater–surface water interactions Z. Lu & X. Yang 10.1016/j.advwatres.2024.104704
Saved (final revised paper)
Latest update: 16 Aug 2025
Short summary
The error or uncertainty in head, obtained with an analytical or numerical solution, at an early time is mainly caused by the random initial condition. The error reduces with time, later reaching a constant error. The constant error at a later time is mainly due to the effects of the uncertain source/sink. The error caused by the uncertain boundary is limited to a narrow zone. Temporal scaling of head exists in most parts of a low permeable aquifer, mainly caused by recharge fluctuation.
The error or uncertainty in head, obtained with an analytical or numerical solution, at an early...
