Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2437-2020
© 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-24-2437-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 May 2020
Research article |
| 13 May 2020
| 13 May 2020
Sensitivity of hydrologic and geologic parameters on recharge processes in a highly heterogeneous, semi-confined aquifer system
Stephen R. Maples
CORRESPONDING AUTHOR
Hydrologic Sciences Graduate Group, University of California, Davis, One Shields Ave., Davis, CA 95616, USA
Laura Foglia
Department of Land, Air, and Water Resources, University of California, Davis, One Shields Ave., Davis, CA 95616, USA
Graham E. Fogg
Department of Land, Air, and Water Resources, University of California, Davis, One Shields Ave., Davis, CA 95616, USA
Reed M. Maxwell
Department of Geology and Geological Engineering, Colorado School of Mines, 1500 Illinois St., Golden, CO 80401, USA
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Cited
20 citations as recorded by crossref.
- Perceptual perplexity and parameter parsimony K. Beven & N. Chappell 10.1002/wat2.1530
- Morpho-Sedimentary Constraints in the Groundwater Dynamics of Low-Lying Coastal Area: The Southern Margin of the Venice Lagoon, Italy C. Cavallina et al. 10.3390/w14172717
- Geochemical and isotopic tracers to define the aquifer’s vulnerability: the case study of the alluvial multi-aquifer system of the Friulian plain D. Di Renzo et al. 10.1007/s10661-023-11359-7
- On the evaluation of climate change impact models T. Wagener et al. 10.1002/wcc.772
- VARS and HDMR Sensitivity Analysis of Groundwater Flow Modeling through an Alluvial Aquifer Subject to Tidal Effects J. Samper et al. 10.3390/w16172526
- Assessing heterogeneous groundwater systems: Geostatistical interpretation of well logging data for estimating essential hydrogeological parameters M. Mohammed et al. 10.1038/s41598-024-57435-x
- Managed aquifer recharge implementation criteria to achieve water sustainability S. Alam et al. 10.1016/j.scitotenv.2021.144992
- Integration of Soft Data Into Geostatistical Simulation of Categorical Variables S. Carle & G. Fogg 10.3389/feart.2020.565707
- Controls on flood managed aquifer recharge through a heterogeneous vadose zone: hydrologic modeling at a site characterized with surface geophysics Z. Perzan et al. 10.5194/hess-27-969-2023
- Quantifying the spatiotemporal dynamics of recharge in a composite Great Lakes watershed using a high-resolution hydrology model and multi-source data G. Kang et al. 10.1016/j.jhydrol.2021.126594
- Sustainability of Regional Groundwater Quality in Response to Managed Aquifer Recharge Z. Guo et al. 10.1029/2021WR031459
- Robust estimation of hydrogeological parameters from wireline logs usingsemi-supervised deep neural networks assisted with global optimization-based regression methods M. Mohammed et al. 10.1016/j.gsd.2024.101348
- GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models T. Gleeson et al. 10.5194/gmd-14-7545-2021
- Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin Z. Lu et al. 10.1016/j.jhydrol.2024.131542
- Exploring Predictive Uncertainty at a Double‐Source Managed Aquifer Recharge Site via Stochastic Modeling G. Rudnik et al. 10.1029/2021WR031241
- Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management N. Kawo et al. 10.1007/s10040-023-02658-x
- Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania C. Kisiki et al. 10.1016/j.heliyon.2022.e10760
- Effects of upscaling temporal resolution of groundwater flow and transport boundary conditions on the performance of nitrate-transport models at the regional management scale M. Bastani & T. Harter 10.1007/s10040-020-02133-x
- Potential Benefits of Managed Aquifer Recharge MAR on the Island of Gotland, Sweden P. Dahlqvist et al. 10.3390/w11102164
- The effect of typical geological heterogeneities on the performance of managed aquifer recharge: physical experiments and numerical simulations P. Wu et al. 10.1007/s10040-021-02375-3
17 citations as recorded by crossref.
- Perceptual perplexity and parameter parsimony K. Beven & N. Chappell 10.1002/wat2.1530
- Morpho-Sedimentary Constraints in the Groundwater Dynamics of Low-Lying Coastal Area: The Southern Margin of the Venice Lagoon, Italy C. Cavallina et al. 10.3390/w14172717
- Geochemical and isotopic tracers to define the aquifer’s vulnerability: the case study of the alluvial multi-aquifer system of the Friulian plain D. Di Renzo et al. 10.1007/s10661-023-11359-7
- On the evaluation of climate change impact models T. Wagener et al. 10.1002/wcc.772
- VARS and HDMR Sensitivity Analysis of Groundwater Flow Modeling through an Alluvial Aquifer Subject to Tidal Effects J. Samper et al. 10.3390/w16172526
- Assessing heterogeneous groundwater systems: Geostatistical interpretation of well logging data for estimating essential hydrogeological parameters M. Mohammed et al. 10.1038/s41598-024-57435-x
- Managed aquifer recharge implementation criteria to achieve water sustainability S. Alam et al. 10.1016/j.scitotenv.2021.144992
- Integration of Soft Data Into Geostatistical Simulation of Categorical Variables S. Carle & G. Fogg 10.3389/feart.2020.565707
- Controls on flood managed aquifer recharge through a heterogeneous vadose zone: hydrologic modeling at a site characterized with surface geophysics Z. Perzan et al. 10.5194/hess-27-969-2023
- Quantifying the spatiotemporal dynamics of recharge in a composite Great Lakes watershed using a high-resolution hydrology model and multi-source data G. Kang et al. 10.1016/j.jhydrol.2021.126594
- Sustainability of Regional Groundwater Quality in Response to Managed Aquifer Recharge Z. Guo et al. 10.1029/2021WR031459
- Robust estimation of hydrogeological parameters from wireline logs usingsemi-supervised deep neural networks assisted with global optimization-based regression methods M. Mohammed et al. 10.1016/j.gsd.2024.101348
- GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models T. Gleeson et al. 10.5194/gmd-14-7545-2021
- Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin Z. Lu et al. 10.1016/j.jhydrol.2024.131542
- Exploring Predictive Uncertainty at a Double‐Source Managed Aquifer Recharge Site via Stochastic Modeling G. Rudnik et al. 10.1029/2021WR031241
- Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management N. Kawo et al. 10.1007/s10040-023-02658-x
- Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania C. Kisiki et al. 10.1016/j.heliyon.2022.e10760
3 citations as recorded by crossref.
- Effects of upscaling temporal resolution of groundwater flow and transport boundary conditions on the performance of nitrate-transport models at the regional management scale M. Bastani & T. Harter 10.1007/s10040-020-02133-x
- Potential Benefits of Managed Aquifer Recharge MAR on the Island of Gotland, Sweden P. Dahlqvist et al. 10.3390/w11102164
- The effect of typical geological heterogeneities on the performance of managed aquifer recharge: physical experiments and numerical simulations P. Wu et al. 10.1007/s10040-021-02375-3
Latest update: 05 Nov 2024
Short summary
In this study, we use a combination of local- and global-sensitivity analyses to evaluate the relative importance of (1) the configuration of subsurface alluvial geology and (2) the hydraulic properties of geologic facies on recharge processes. Results show that there is a large variation of recharge rates possible in a typical alluvial aquifer system and that the configuration proportion of sand and gravel deposits in the subsurface have a large impact on recharge rates.
In this study, we use a combination of local- and global-sensitivity analyses to evaluate the...
