Active moss biomonitoring for extensive screening of urban air pollution: Magnetic and chemical analyses

• DOI: 10.1016/j.scitotenv.2015.03.085
• Publication Date: 2015-03-31T19:00:23Z
• Authors: Gordana Vuković; Mira Aničić Urošević; Zoya Goryainova; Miodrag Pergal; Sandra Škrivanj; Roeland Samson; Aleksandar Popović
• Keywords: Air Pollutants; Magnetic Phenomena; Bryophyta; 01 natural sciences; Bryopsida; 13. Climate action; Air Pollution; Metals, Heavy; 11. Sustainability; Sphagnopsida; Particulate Matter; Cities; Polycyclic Aromatic Hydrocarbons; Environmental Monitoring; 0105 earth and related environmental sciences

In this study, active magnetic biomonitoring of moss for particulate air pollution and an assessment of heavy metals and polycyclic aromatic hydrocarbons (PAHs) were performed for the entire metropolitan area of Belgrade. Two mosses, Sphagnum girgensohnii (a species of the most recommended biomonitoring moss genus) and Hypnum cupressiforme (a common moss in the study area), were used. During the summer of 2013, moss bags were exposed at 153 sampling sites, forming a dense network of sites. A type II regression model was applied to test the interchangeable use of the two moss species. Significantly higher levels of all measured pollutants were recorded by S. girgensohnii in comparison with H. cupressiforme. Based on the results, the mosses could not be interchangeably used in urban areas, except for the biomonitoring of Cu. Nevertheless, according to the relative accumulation factors obtained for both moss species, similar city zones related to high, moderate and low levels of air pollution were distinguished. Moreover, new pollution hotspots, omitted by regulatory monitoring, were identified. The results demonstrate that moss magnetic analysis represents an effective first step for obtaining an overview of particulate air pollution before more expensive chemical analyses. Active moss biomonitoring could be applied as a pragmatic approach for optimizing the representativeness of regulatory monitoring networks.