Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2437-2020
https://doi.org/10.5194/hess-24-2437-2020
Research article
 | 
13 May 2020
Research article |  | 13 May 2020

Sensitivity of hydrologic and geologic parameters on recharge processes in a highly heterogeneous, semi-confined aquifer system

Stephen R. Maples, Laura Foglia, Graham E. Fogg, and Reed M. Maxwell

Related authors

Coupling the ParFlow Integrated Hydrology Model within the NASA Land Information System: A case study over the Upper Colorado River Basin
Peyman Abbaszadeh, Fadji Zaouna Maina, Chen Yang, Dan Rosen, Sujay Kumar, Matthew Rodell, and Reed Maxwell
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-280,https://doi.org/10.5194/hess-2024-280, 2024
Preprint under review for HESS
Short summary
Simulation-based inference for parameter estimation of complex watershed simulators
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 4685–4713, https://doi.org/10.5194/hess-28-4685-2024,https://doi.org/10.5194/hess-28-4685-2024, 2024
Short summary
CONCN: A high-resolution, integrated surface water-groundwater ParFlow modeling platform of continental China
Chen Yang, Zitong Jia, Wenjie Xu, Zhongwang Wei, Xiaolang Zhang, Yiguang Zou, Jeffrey McDonnell, Laura Condon, Yongjiu Dai, and Reed Maxwell
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-292,https://doi.org/10.5194/hess-2024-292, 2024
Preprint under review for HESS
Short summary
A scalable and modular reservoir implementation for large scale integrated hydrologic simulations
Benjamin D. West, Reed M. Maxwell, and Laura E. Condon
EGUsphere, https://doi.org/10.5194/egusphere-2024-965,https://doi.org/10.5194/egusphere-2024-965, 2024
Short summary
Canopy structure modulates the sensitivity of subalpine forest stands to interannual snowpack and precipitation variability
Max Berkelhammer, Gerald F. Page, Frank Zurek, Christopher Still, Mariah S. Carbone, William Talavera, Laura Hildebrand, James Byron, Kyle Inthabandith, Angellica Kucinski, Melissa Carter, Kelsey Foss, Wendy Brown, Rosemary W. H. Carroll, Austin Simonpietri, Marshall Worsham, Ian Breckheimer, Anna Ryken, Reed Maxwell, David Gochis, Mark Raleigh, Eric Small, and Kenneth H. Williams
EGUsphere, https://doi.org/10.5194/egusphere-2023-3063,https://doi.org/10.5194/egusphere-2023-3063, 2024
Short summary

Related subject area

Subject: Groundwater hydrology | Techniques and Approaches: Modelling approaches
Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features
Mariana Gomez, Maximilian Nölscher, Andreas Hartmann, and Stefan Broda
Hydrol. Earth Syst. Sci., 28, 4407–4425, https://doi.org/10.5194/hess-28-4407-2024,https://doi.org/10.5194/hess-28-4407-2024, 2024
Short summary
Short high-accuracy tritium data time series for assessing groundwater mean transit times in the vadose and saturated zones of the Luxembourg Sandstone aquifer
Laurent Gourdol, Michael K. Stewart, Uwe Morgenstern, and Laurent Pfister
Hydrol. Earth Syst. Sci., 28, 3519–3547, https://doi.org/10.5194/hess-28-3519-2024,https://doi.org/10.5194/hess-28-3519-2024, 2024
Short summary
High-resolution long-term average groundwater recharge in Africa estimated using random forest regression and residual interpolation
Anna Pazola, Mohammad Shamsudduha, Jon French, Alan M. MacDonald, Tamiru Abiye, Ibrahim Baba Goni, and Richard G. Taylor
Hydrol. Earth Syst. Sci., 28, 2949–2967, https://doi.org/10.5194/hess-28-2949-2024,https://doi.org/10.5194/hess-28-2949-2024, 2024
Short summary
Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning
Andreas Wunsch, Tanja Liesch, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 28, 2167–2178, https://doi.org/10.5194/hess-28-2167-2024,https://doi.org/10.5194/hess-28-2167-2024, 2024
Short summary
Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
Raoul Alexander Collenteur, Ezra Haaf, Mark Bakker, Tanja Liesch, Andreas Wunsch, Jenny Soonthornrangsan, Jeremy White, Nick Martin, Rui Hugman, Michael Fienen, Ed de Sousa, Didier Vanden Berghe, Xinyang Fan, Tim Peterson, Janis Bikše, Antoine Di Ciacca, Xinyue Wang, Yang Zheng, Maximilian Nölscher, Julian Koch, Raphael Schneider, Nikolas Benavides Höglund, Sivarama Krishna Reddy Chidepudi, Abel Henriot, Nicolas Massei, Abderrahim Jardani, Max Gustav Rudolph, Amir Rouhani, Jaime Gómez-Hernández, Seifeddine Jomaa, Anna Pölz, Tim Franken, Morteza Behbooei, Jimmy Lin, Bryan Tolson, and Rojin Meysami
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-111,https://doi.org/10.5194/hess-2024-111, 2024
Revised manuscript accepted for HESS
Short summary

Cited articles

Adham, M., Jahan, C., Mazumder, Q., Hossain, M., and Haque, A.-M.: Study on groundwater recharge potentiality of Barind tract, Rajshahi district, Bangladesh using GIS and remote sensing technique, J. Geol. Soc. India, 75, 432–438, https://doi.org/10.1007/s12594-010-0039-3, 2010. a
Anderson, M. P., Woessner, W. W., and Hunt, R. J.: Applied groundwater modeling: simulation of flow and advective transport, Academic Press, London, UK, 2015. a, b, c
Asano, T.: Artificial recharge of groundwater, Elsevier, Boston, Massachusetts, USA, 2016. a
Ashby, S. F. and Falgout, R. D.: A parallel multigrid preconditioned conjugate gradient algorithm for groundwater flow simulations, Nucl. Sci. Eng., 124, 145–159, https://doi.org/10.13182/NSE96-A24230, 1996. a
Assouline, S. and Or, D.: Anisotropy factor of saturated and unsaturated soils, Water Resour. Res., 42, W12403, https://doi.org/10.1029/2006WR005001, 2006. a
Download
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.