Simulated conservative tracer as a proxy for S-metolachlor concentration predictions compared to POCIS measurements in Arcachon Bay
|Author(s)||Fauvelle Vincent1, Belles Angel2, Budzinski Helene3, Mazzella Nicolas4, Plus Martin5|
|Affiliation(s)||1 : Univ Toulon & Var, Aix Marseille Univ, CNRS, IRD,MIO, Marseille, France.
2 : PSL Res Univ, MINES ParisTech, Geosci Ctr Geosci & Geoengn, 35 Rue St Honore, Fontainebleau, France.
3 : Univ Bordeaux, UMR EPOC CNRS 5805, LPTC, Talence, France.
4 : Irstea, UR EABX, 50 Ave Verdun, Cestas, France.
5 : IFREMER, Lab Ecol Pelag DYNECO PELAGOS, Plouzane, France.
|Source||Marine Pollution Bulletin (0025-326X) (Pergamon-elsevier Science Ltd), 2018-08 , Vol. 133 , P. 423-427|
|WOS© Times Cited||9|
|Keyword(s)||Passive sampling, POCIS, Mars-2D, Contaminant, Monitoring, Coastal area, Pesticides, S-metolachlor|
The work presented here aims at comparing monitoring of S-metolachlor, the major pesticide in use in the Arcachon Bay (South West of France, transitional coastal area), by chemical analysis (monthly passive sampling) and contaminant dissipation modeling from sources (Mars-2D model). The global strategy consisted in i) identifying the major sources of S-metolachlor to the Bay, ii) monitoring these sources for 12 months, and iii) comparing modeled data in the Bay based on measured inputs, to chemical measurements made inside the Bay along with the 12-month source monitoring. Results first showed that the major S-metolachlor surface inputs to the Arcachon Bay are mainly from one single source. Modeled and measured data were in good agreement at 5 sites in the Bay, both in terms of concentration range and seasonal trends. Modeling thus offers a cost-effective solution for monitoring contaminants in transitional waters, overcoming in addition the technical limitations for measuring pg L−1 or lower levels in coastal waters. However, we highlighted that secondary sources may affect accuracy at local level.