4.8 Article

Characterizing Spatial Diversity of Passive Sampling Sites for Measuring Levels and Trends of Semivolatile Organic Chemicals

Journal

ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 52, Issue 18, Pages 10599-10608

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.8b03414

Keywords

-

Funding

  1. Czech Ministry of Education, Youth and Sports (RECETOX RI) [LM2015051]
  2. Czech Ministry of Education, Youth and Sports (ACTRIS_CZ RI) [LM2015037]
  3. European Structural and Investment Funds (RECETOX RI) [CZ.02.1.01/0.0/0.0/16_013/0001761]
  4. European Structural and Investment Funds (ACTRIS_CZ - RI) [CZ.02.1.01/0.0/0.0/16_013/0001315]
  5. European Structural and Investment Funds (CETOCOEN PLUS) [CZ.02.1.01/0.0/0.0/15_003/0000469]

Ask authors/readers for more resources

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 dichlorodiphenyltri-chloroethane (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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available