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. 2022 Jan 24;19(3):1296.
doi: 10.3390/ijerph19031296.

VOCs and Odor Episodes near the German-Czech Border: Social Participation, Chemical Analyses and Health Risk Assessment

Affiliations

VOCs and Odor Episodes near the German-Czech Border: Social Participation, Chemical Analyses and Health Risk Assessment

Jan Leníček et al. Int J Environ Res Public Health. .

Abstract

People living on both sides of the German-Czech border are subject to episodes of odor air pollution. A joint German-Czech air sampling and risk assessment project was established to identify the substances responsible and their sources. Twenty-four volunteer study participants, 14 from the NW Czech Republic and 10 from Germany (Saxony) reported odors and collected canister samples during sampling periods in winter 2017 and 2018 and autumn 2018. Canister samples and passive samplers were analyzed for volatile organic compounds (VOCs) and passive samplers were analyzed for VOCs and carbonyls. OAVs (Odor Activity Values) and back trajectories were calculated with the aim of identifying the odor sources. Calculated OAVs were in excellent agreement with perceived smells close to an oil processing plant. Odorants identified in fifty canister samples during odor episodes and carbonyl measurements close to the edible oil processing plant were used for health evaluation. Odors reported by participants in Saxony frequently differed from those reported by participants in the Czech Republic. This suggests that certain sources of odor lying on either side of the border only affect that side and not the other with similar considerations regarding health effects. VOCs, including carbonyls, were also sampled at two relatively remote locations during winters of 2017 and 2018; two main sources of odorous compounds were identified at these sites. Analysis of samples taken at sampling sites shows that VOC air pollution and, to a lesser extent carbonyl pollution, originate from both industrial and local sources. Even though levels of sampled substances were not associated with acute effects at any site, long-term exposures to selected compounds could be cause for concern for carcinogenicity at some sites. Odors in Seiffen were associated with carcinogenic compounds in can samples. Although not necessarily representative of long-term exposures to the compounds studied, results such as these suggest that further study is needed to better quantify long-term exposure to potentially harmful compounds, and to either confirm or deny the existence of substantive health risk.

Keywords: GC-MS analysis; canister sampling; health impact; odorous compounds; passive sampling.

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Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Figures

Figure 1
Figure 1
Map of the Northwestern quadrant of the Czech Republic and Southern Saxony. The oval indicates the approximate study area where data was collected. The town of Seiffen in Saxony is denoted by the red balloon. (Background map: mapy.cz).
Figure 2
Figure 2
(a) Geographical distribution of study participants together with relative frequency of odor records (%). Measuring station: MS1–Deutschneudorf, MS2–Schwartenberg, MS3–Lom. Possible source of odor: 1–Unipetrol, 2–coal-fired power station Ledvice, 3—open pit mine ČSA, 4—open pit mine Bílina. There are drawn spatial segments (A1, …, A4, B1, …, B4, C = A1 + B1 + B2) of investigated area in the map, too. (Source of background map: https://openstreetmap.cz, accessed on 5 December 2021 14:10); (b) CA biplots: association between odor characteristics and spatial segments of study area; (c) CA biplots: association between odor characteristics and physical symptoms. Active elements are displayed in color; supplementary elements are displayed in black.
Figure 3
Figure 3
Canister sampling sites. Numbers in red refer to individual sites: 1—Deutscheinsiedel, 2—Háj u Duchcova, 3—Kühnhaide, 4—Litvínov, 5—Neuhausen, 6—Marienberg, 7—Neurehefeld, 8—Nová Ves v Horách, 9—Olbernhau, 10—Sayda, 11—Seiffen, and 12—Vřesová. (Background map: www.mapy.cz (accessed on 5 December 2021 14:19)).

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