Passive Sampling as a Low-Cost Method for Monitoring Air Pollutants in the Baikal Region (Eastern Siberia)

The measured concentrations of inorganic pollutants, such as ozone (2015−2018), sulfur, and nitrogen oxides (2012−2018) at air monitoring sites in the south of Eastern Siberia were sampled, following the passive sampling method, and analyzed. The spatial inhomogeneity of atmosphe...

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Bibliographic Details
Main Authors: Olga I. Khuriganova, Vladimir A. Obolkin, Liudmila P. Golobokova, Yuri S. Bukin, Tamara V. Khodzher
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/10/8/470
Description
Summary:The measured concentrations of inorganic pollutants, such as ozone (2015−2018), sulfur, and nitrogen oxides (2012−2018) at air monitoring sites in the south of Eastern Siberia were sampled, following the passive sampling method, and analyzed. The spatial inhomogeneity of atmospheric gas concentrations is presented. The ozone concentration is lower in urban areas than those in rural areas and the background level. However, the nitrogen and sulfur oxide concentrations are higher in the atmosphere over the city site. The seasonal dependence of the ozone concentration was determined using its maximum (March−April) and minimum (September−October) levels. The dynamics of the nitrogen and sulfur oxide concentrations indicate that they are at their highest in December−June and their lowest in July−August. To verify the validity of the pollutant concentration measurements sampled by passive sampling, we compared our results with those obtained following the automatic and filter pack methods. A linear regression analysis and a pairwise modification of Student’s t test evaluated the concentrations of the air pollutant, sampled and measured using different methods, and they correlate well (r = 0.7−0.9). Full validation of the passive sampling method is not possible for some sites; therefore it is necessary to remove the remaining systematic errors in future work.
ISSN:2073-4433