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cc-by (c) Sendrós Brea-Iglesias, Alex et al., 2021
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/174884

Characterization of a Shallow Coastal Aquifer in the Framework of a Subsurface Storage and Soil Aquifer Treatment Project using Electrical Resistivity Tomography (Port de la Selva, Spain)

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Water percolation through infiltration ponds is creating significant synergies for the broad adoption of water reuse as an additional non-conventional water supply. Despite the apparent simplicity of the soil aquifer treatment (SAT) approaches, the complexity of site-specific hydro-geological conditions and the processes occurring at various scales require an exhaustive under-standing of the system's response. The non-saturated zone and underlying aquifers cannot be considered as a black box, nor accept its characterization from few boreholes not well distribut-ed over the area to be investigated. The electrical resistivity tomography (ERT) is a non-invasive technology, highly responsive to geological heterogeneities that has demonstrated useful to provide the detailed subsurface information required for groundwater modeling. The relation-ships between the electrical resistivity of the alluvial sediments and the bedrock and the differ-ence in salinity of groundwater, highlight the potential of geophysical methods over other more costly subsurface exploration techniques. The results of our research show that ERT coupled with implicit modeling tools provides information that can significantly help to identify aquifer geometry and characterize the saltwater intrusion of shallow alluvial aquifers. The proposed approaches could improve the reliability of groundwater models and the commitment of stakeholders to the benefits of SAT procedures.

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SENDRÓS BREA-IGLESIAS, Alex, et al. Characterization of a Shallow Coastal Aquifer in the Framework of a Subsurface Storage and Soil Aquifer Treatment Project using Electrical Resistivity Tomography (Port de la Selva, Spain). Applied Sciences. 2021. Vol. 11, num. 6. ISSN 2076-3417. [consulted: 22 of May of 2026]. Available at: https://hdl.handle.net/2445/174884

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