Assessing different methods to quantify Submarine Groundwater Discharge

Submarine Groundwater Discharge (SGD) is recognized as a major source of water and solutes to the coastal ocean, and it is particularly relevant in arid or semi-arid zones. SGD is generally defined as the flow of groundwater from continental margins to the coastal ocean, including thus both fresh groundwater from aquifer recharge and seawater recirculation through the coastal aquifer. Due to its high heterogeneity both in space and time, SGD is difficult to detect and quantify. As a consequence, numerous methods to study SGD have been developed over the last decades. These approaches mainly include hydrogeological approaches, geophysical techniques, direct seepage measurements, and the use of geochemical tracers. Each method presents its challenges, limitations, and advantages and each one works on different spatial and temporal scales, thus targeting different components of SGD. Therefore, comparing SGD studies with estimates derived from different methods is often complex and misleading if the characteristics and assumptions of each quantification technique are not taken into account. This highlights the need to conduct studies comparing SGD derived from different methods, not only to obtain more accurate SGD estimates but also to obtain instrumental information on the characteristics of the estimated fluxes. To this aim, a combined use of different approaches to estimate SGD was applied in a Mediterranean coastal lagoon (Mar Menor, Spain), including direct measurements with seepage meters, radium isotopes, and radon mass balance, 224Ra/228Th disequilibrium in coastal sediments, radon vertical profiles in porewater sediments, and hydrologic modeling. Mar Menor is Europe's biggest saline coastal lagoon, and it is connected to a highly anthropized quaternary aquifer. In this coastal system, SGD is likely playing a major role in the eutrophication of the lagoon. However, despite the economic and biological importance of this lagoon, data about this system is still incomplete, and mostly only hydrological modeling has been performed.

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Fecha de creación 16-07-2024
Fecha de última modificación 17-09-2024
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Identificador de los metadatos e8450461-62e1-5fed-8e1d-c9bf57b09d22
Idioma de los metadatos Español
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Categoría del conjunto de alto valor (HVD)
Categoría temática ISO 19115
Identificador alternativo DOI 10.5194/egusphere-egu23-12823, 2023.
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Identificador INSPIRE ESPMITECOIEPNBMMENOR516
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Identificador geográfico Murcia
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  1. EGU23-12823
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Nombre del autor Rodriguez-Puig, J., Rodellas, V., Diego-Feliu, M.,…
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Email del autor Julia.rodriguez@uab.cat
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