Polychlorinated biphenyls in the surrounding of an e-waste recycling facility in North-Rhine Westphalia: Levels in plants and dusts, spatial distribution, homologue pattern and source identification using the combination of plants and wind direction data.

Autor: Klees M; North-Rhine Westphalian State Agency for Nature, Environment, and Consumer Protection (LANUV NRW), Wallneyer Str. 6, 45133 Essen, Germany. Electronic address: marcel.klees@lanuv.nrw.de., Hombrecher K; North-Rhine Westphalian State Agency for Nature, Environment, and Consumer Protection (LANUV NRW), Wallneyer Str. 6, 45133 Essen, Germany., Gladtke D; North-Rhine Westphalian State Agency for Nature, Environment, and Consumer Protection (LANUV NRW), Wallneyer Str. 6, 45133 Essen, Germany.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2017 Dec 15; Vol. 603-604, pp. 606-615. Date of Electronic Publication: 2017 Jun 22.
DOI: 10.1016/j.scitotenv.2017.06.079
Abstrakt: During this study the occurrence of polychlorinated biphenyls (PCBs) in the surrounding of an e-waste recycling facility in North-Rhine Westphalia was analysed. PCB levels were analysed in curly kale, spruce needles, street dusts and dusts. Conspicuously high PCB concentrations in curly kale and spruce needles were found directly northwards of the industrial premises. Furthermore a concentration gradient originating from the industrial premises to the residential areas in direction southwest to northeast was evident. Homologue patterns of highly PCB contaminated dusts and street dusts were comparable to the homologue patterns of PCB in curly kale and spruce needles. This corroborates the suspicion that the activities at the e-waste recycling facility were responsible for the elevated PCB levels in curly kale and spruce needles. The utilization of multiple linear regression of wind direction data and analysed PCB concentrations in spruce needles proved that the e-waste recycling facility caused the PCB emissions to the surrounding. Additionally, this evaluation enabled the calculation of source specific accumulation constants for certain parts of the facility. Consequently the different facility parts contribute with different impacts to the PCB levels in bioindicators.
(Copyright © 2017 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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