Characterizing Spatial Diversity of Passive Sampling Sites for Measuring Levels and Trends of Semivolatile Organic Chemicals
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
30107733
DOI
10.1021/acs.est.8b03414
Knihovny.cz E-zdroje
- MeSH
- chlorované uhlovodíky * MeSH
- látky znečišťující vzduch * MeSH
- monitorování životního prostředí MeSH
- pesticidy * MeSH
- polychlorované bifenyly * MeSH
- polycyklické aromatické uhlovodíky * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
- Názvy látek
- chlorované uhlovodíky * MeSH
- látky znečišťující vzduch * MeSH
- pesticidy * MeSH
- polychlorované bifenyly * MeSH
- polycyklické aromatické uhlovodíky * MeSH
Passive air sampling of semivolatile organic compounds (SVOCs) is a relatively inexpensive method that facilitates extensive campaigns with numerous sampling sites. An important question in the design of passive-sampling networks concerns the number and location of samplers. We investigate this question with the example of 17 SVOCs sampled at 14 background sites across the Czech Republic. More than 200 time series (length 5-11 years) were used to characterize SVOC levels and trends in air between 2003 and 2015. Six polychlorinated biphenyls (PCBs), 6 polyaromatic hydrocarbons (PAHs), and 5 organochlorine pesticides (OCPs) at 14 sites were assessed using data from the MONET passive sampling network. Significant decreases were found for most PCBs and OCPs whereas hexachlorobenzene (HCB) and most PAHs showed (mostly insignificant) increases. Spatial variability was rather low for PCBs and OCPs except for dichlorodiphenyltrichloroethane (DDT) and rather high for PAHs. The variability of the SVOC levels and trends depends on characteristics of the sites including their remoteness, landscape, population, and pollution sources. The sites can be grouped in distinct clusters, which helps to identify similar and, thereby, potentially redundant sites. This information is useful when monitoring networks need to be optimized regarding the location and number of sites.
Czech Hydrometeorological Institute Košetice Observatory 394 22 Košetice Czech Republic
Institute of Biogeochemistry and Pollutant Dynamics ETH Zürich 8092 Zürich Switzerland
Research Centre for Toxic Compounds in the Environment RECETOX Kamenice 5 625 00 Brno Czech Republic
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