Quantification of submarine groundwater discharge and optimal radium sampling distribution in the Lesina Lagoon, Italy.

Rapaglia, John, Koukoulas, Sotirios, Zaggia, Luca, Lichter, Michal, Manfe, Giorgia and Vafeidis, Athanasios (2012) Quantification of submarine groundwater discharge and optimal radium sampling distribution in the Lesina Lagoon, Italy. Journal of Marine Systems, 91 (1). pp. 11-19. DOI 10.1016/j.jmarsys.2011.09.003.

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Supplementary data:

Abstract

Performing a mass balance of radium isotopes is a commonly employed method for quantifying the flux of groundwater into the sea. However, the spatial variability of 224Ra can compromise the results of mass balances in environmental studies. We address this uncertainty by optimizing the distribution of Ra samples within a surface survey of 224Ra activity in the Lesina Lagoon, Italy.
After checking for spatial dependence, location-allocation modeling (LAM) was utilized to determine optimal distribution of samples for thinning the sampling design. Trend surface analysis (TSA) was employed to interpolate the Ra activity throughout the lagoon. No significant change was found when using all 41 samples or only 25 randomly distributed samples.
Results from the TSA showed a linear trend and bi-modal distribution in surface 224Ra. This information was utilized to perform mass balances in two separate basins (east and west). SGD was found to be significantly higher in the western basin (4.8 vs. 0.7 cm d− 1). Additionally, mass balances were performed using the average 224Ra activity from the trend surface analysis calculated with 41 and 25 samples respectively and total lagoon SGD was found to be 10.4–10.5 m3 s− 1. Results show that SGD is significant in the Lesina Lagoon.

Document Type: Article
Keywords: Submarine groundwater discharge, Radium, Optimal sampling distribution, Location-allocation modeling
Research affiliation: OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Refereed: Yes
Open Access Journal?: No
DOI etc.: 10.1016/j.jmarsys.2011.09.003
ISSN: 0924-7963
Projects: Future Ocean
Date Deposited: 14 May 2014 09:40
Last Modified: 31 Jul 2019 05:11
URI: http://oceanrep.geomar.de/id/eprint/24217

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