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Abstract

Summary

This study introduces a workflow integrating electrical resistivity tomography (ERT) and electromagnetic induction (EMI) with saturated hydraulic conductivity (Ksat) measurements to characterize and monitor managed aquifer recharge (MAR) basins in California. The research established a relationship between electrical resistivity and hydraulic conductivity, enabling the translation of geophysical data into 3D maps of Ksat. These maps then parameterized hydrological models to estimate spatially distributed infiltration rates across six recharge ponds. Results revealed significant heterogeneity in subsurface properties and infiltration rates, ranging from less than 0.5 to over 25 cm/h. Time-lapse 3D ERT during controlled infiltration experiments in two ponds visually confirmed preferential flow pathways in coarser sediments and the impedance of infiltration by finegrained soils. Hydrological modeling further suggested that removing low-permeability layers could substantially enhance infiltration rates, highlighting the potential of this integrated approach for optimizing MAR management.

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/content/papers/10.3997/2214-4609.202520185
2025-09-07
2026-02-09

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References

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/content/papers/10.3997/2214-4609.202520185
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Hydrogeophysical Characterization and Monitoring of Managed Aquifer Recharge Basins
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202520185
/content/papers/10.3997/2214-4609.202520185
/content/papers/10.3997/2214-4609.202520185
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