Line ferries and cargo ships for the monitoring of marine contaminants of emerging concern: Application along a Europe-Arctic transect

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Publikace nespadá pod Ústav výpočetní techniky, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.

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BRUMOVSKÝ Miroslav BEČANOVÁ Jitka SÁŇKA Ondřej LOKEN Katharina Bjarnar BAHO Didier L. SORENSEN Kai NIZZETTO Luca

Rok publikování 2022
Druh Článek v odborném periodiku
Časopis / Zdroj Journal of Hazardous Materials
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://www.sciencedirect.com/science/article/pii/S0304389421022007?via%3Dihub
Doi http://dx.doi.org/10.1016/j.jhazmat.2021.127232
Klíčová slova marine environments; marine long-range; transport; pharmaceuticals; artificial sweeteners; personal care products; carbamazepine; sucralose
Popis Contaminants of emerging concern (CEC) are a focus in marine protection. Several CECs are released with wastewater effluents to coastal environments and their offshore occurrence has been recently documented. Routine monitoring is key for implementing marine protection acts, however infrastructural, financial, and technical limitations hinder this task along broad spatial transects. Here we show the efficacy of a new infrastructure enabling unmanned sampling of surface water from ships of opportunity in providing reliable and costeffective routine monitoring of CECs along a Europe-Arctic transect. The distribution and long-range transport of several pharmaceuticals and personal care products, artificial food additives, and stimulants were assessed. Validation of operations through strict procedural and analytical quality criteria is presented. A framework to estimate a compound-specific spatial range (SR) index of marine long-range transport based on monitoring results and information on source spatial distribution, is introduced. Estimated SR values ranged 50-350 km depending on compound, yielding a ranking of long-range transport potential which reflected expectations based on degradation half-lives. SR values were used to calculate prior maps of detection probability that can be used to plan future routine monitoring in the region.
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