Managed aquifer recharge site assessment with electromagnetic imaging: Identification of recharge flow paths
TL;DR: In this paper , the authors used a towed time-domain electromagnetic (tTEM) imaging method to develop three-dimensional (3D) models of sediment type, map potential flow paths through the subsurface, and evaluate sites for surface spreading.
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Abstract: Surface spreading recharge, the intentional flooding of the ground surface to replenish a groundwater system, is one approach used to mitigate groundwater overdraft in California's Central Valley (CV). Choosing appropriate sites for surface spreading recharge, in regard to the sites’ ability to convey water from the ground surface to the desired recharge depth, can be challenging because of limited knowledge of the properties of the subsurface. In this study, we present an approach for using a towed time‐domain electromagnetic (tTEM) imaging method to develop three‐dimensional (3D) models of sediment type, map potential flow paths through the subsurface, and evaluate sites for surface spreading. We began with tTEM data from seven sites in the CV along with an existing resistivity‐to‐sediment type transform. We leveraged geostatistical methods to generate multiple 3D models of binary (flow and no‐flow) sediment type from the tTEM data. We then developed two metrics to assess the quality of sites for recharge: (a) the depth to the shallowest no‐flow unit beneath each point at the surface and (b) preferential flow paths lengths measured by finding the shortest distance through connected flow units between surface points and the desired depth. We explored how these metrics can be used to identify optimal areas within a site, then developed a way to compare and assess the relative suitability of each site using the decay in the number of vertical flow paths as a function of depth. Our methods can be used to rapidly identify potential sites for surface spreading recharge.
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Citations
Controls on flood managed aquifer recharge through a heterogeneous vadose zone: hydrologic modeling at a site characterized with surface geophysics
TL;DR: In this paper , the authors developed a geostatistical approach for parameterizing a 3D-variably saturated groundwater flow model using geophysical data and performed Monte Carlo simulations to quantify their uncertainty as a function of model input parameters and spatial uncertainty.
Uncovering the gaps in managed aquifer recharge for sustainable groundwater management: A focus on hillslopes and mountains
M. M. Bitew,Scott A. Bradford,Alberto Casillas-Trasvina,Lin Chen,Gordon Osterman,Tyler Hatch,Hoori Ajami,Octavia Crompton,Lucia Levers,Isaya Kisekka +9 more
TL;DR: This review assesses the viability of hydrology-based approaches to enhance groundwater replenishment, particularly in under-utilized hillslope and mountain systems, and proposes landscape modifications to facilitate effective expansion of managed aquifer recharge for sustainable groundwater management.
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Reply to Reviewer 1
Steven Ruszczycky
- 25 Jan 2023
TL;DR: In this article , a geostatistical approach for parameterizing a 3D variably saturated groundwater flow model using geophysical data was developed to evaluate the three outcomes of interest and perform Monte Carlo simulations to quantify their uncertainty as a function of model input parameters.
Mapping Hydrogeological Structures Using Transient Electromagnetic Method: A Case Study of the Choushui River Alluvial Fan in Yunlin, Taiwan
Lingerew Nebere Kassie,Ping Yu Chang,Jun Zeng,Chow-Son Chen,Yonatan Garkebo Doyoro,Ding-Jiun Lin,Jordi Mahardika Puntu,Haiyina Hasbia Amania +7 more
TL;DR: In this article , the authors used transient electromagnetic (TEM) to map the hydrogeological structures in the Choushui River Alluvial Fan in Yunlin County of central Taiwan.
Comment on hess-2022-369
06 Jan 2023
TL;DR: In this paper , the authors developed a geostatistical approach for parameterizing a 3D variably saturated groundwater flow model using geophysical data and performed Monte Carlo simulations to quantify their uncertainty as a function of model input parameters and spatial uncertainty.
References
Geophysical Characterization of Hydraulic Properties around a Managed Aquifer Recharge System over the Llobregat River Alluvial Aquifer (Barcelona Metropolitan Area)
A. Sendrós,Mahjoub Himi,Raúl Lovera,Lluís Rivero,Ruben Garcia-Artigas,A. Urruela,Albert Casas +6 more
TL;DR: In this paper, an approach combining direct and indirect exploration techniques such as electrical resistivity tomography (ERT), frequency domain electromagnetics and data from double-ring infiltration tests, trial pits, research boreholes and piezometers is proposed to improve the planning and design of surface-type artificial recharge infrastructures.
Geophysical and Hydrochemical Identification of Flow Paths with Implications for Water Quality at an ARR Site
TL;DR: In this paper, electrical resistivity tomography was used to image the subsurface below two key infiltration/extraction areas of an aquifer recharge and recovery (ARR) site in Colorado, USA.
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Natural and forced soil aeration during agricultural managed aquifer recharge
Yonatan Ganot,Helen E. Dahlke +1 more
TL;DR: Ganot et al. as mentioned in this paper studied the soil aeration status under almond [Prunus dulcis (Mill.) D.A. Webb] trees and cover crops during agricultural managed aquifer recharge (Ag-MAR) at three sites differing in drainage properties.
Integrating non-colocated well and geophysical data to capture subsurface heterogeneity at an aquifer recharge and recovery site
Ian Gottschalk,Thomas Hermans,Rosemary Knight,Jef Caers,David Cameron,Julia Regnery,John E. McCray +6 more
TL;DR: In this article, two methods of constructing a rock-physics transform between electrical resistivity tomography (ERT) data and lithology measurements are assessed. And the results are applied to simulate groundwater flow in a heterogeneous aquifer in the Prairie Waters Project North Campus aquifer recharge site, Colorado.
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Electrical Resistivity for Characterization and Infiltration Monitoring beneath a Managed Aquifer Recharge Pond
TL;DR: In this paper, an inversion algorithm was developed to estimate the van Genuchten parameters and saturated hydraulic conductivity of a homogeneous unsaturated zone using electrical resistivity profiles with high spatial and temporal resolutions.
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