RT Journal Article
T1 Modeling Dispersal of UV Filters in Estuaries
A1 Lindo-Atichati, David
A1 Montero Vilar, Pedro
A1 Rodil Rodríguez, María del Rosario
A1 Quintana Álvarez, José Benito
A1 Miró, Manuel
AB Lagrangian ocean analysis, where virtual parcels of water are tracked through hydrodynamic fields, provides an increasingly popular framework to predict the dispersal of water parcels carrying particles and chemicals. We conduct the first direct test of Lagrangian predictions for emerging contaminants using (1) the latitude, longitude, depth, sampling date, and concentrations of UV filters in raft cultured mussel (Mytilus galloprovincialis) of the estuary Ria de Arousa, Spain (42.5°N, 8.9°W); (2) a hydrodynamic numerical model at 300 m spatial resolution; and (3) a Lagrangian dispersion scheme to trace polluted water parcels back to pollution sources. The expected dispersal distances (mean ± SD) are 2 ± 1 km and the expected dispersal times (mean ± SD) are 6 ± 2 h. Remarkably, the probability of dispersal of UV filters from potential sources to rafts decreases 5-fold over 5 km. In addition to predicting dispersal pathways and times, this study also provides a framework for quantitative investigations of concentrations of emerging contaminants and source apportionment using turbulent diffusion. In the coastline, the ranges of predicted concentrations of the UV-filters 4-methylbenzylidene-camphor, octocrylene, and benzophenone-4 are 3.2 × 10–4 to 0.023 ng/mL, 2.3 × 10–5 to 0.009 ng/mL, and 5.6 × 10–4 to 0.013 ng/mL, respectively. At the outfalls of urban wastewater treatment plants these respective ranges increase to 8.9 × 10–4 to 0.07 ng/mL, 6.2 × 10–5 to 0.027 ng/mL, and 1.6 × 10–3 to 0.040 ng/mL.
PB American Chemical Society
SN 0013-936X
YR 2019
FD 2019-01-11
LK http://hdl.handle.net/10347/18278
UL http://hdl.handle.net/10347/18278
LA eng
NO D. Lindo-Atichati et al. Environ. Sci. Technol. 2019, 53, 1353−1363. DOI: 10.1021/acs.est.8b03725
NO This document is the Accepted Manuscript version of a Published Work that appeared in final form inEnvironmental Science & Technology, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see: http://dx.doi.org/10.1021/acs.est.8b03725
NO This research is supported by the Spanish State Research Agency projects CTM2014-56628-C3-2-R, CTM2014-56628-C3-3-R, CTM2017-84763-C3-2-R, CTM2017-84763-C3-3-R, and CTM2017-90890-REDT (MINECO/AEI/FEDER, EU).This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by the National Science Foundation grant number NSF-OCE170005
DS Minerva
RD 23 abr 2026