Abstract

A biomonitoring study using terrestrial mosses was performed in the vicinity of an Integrated Iron and Steel plant near the Czech–Polish border. Moss samples were collected in two seasons (June, October) in order to embrace the effect of the heating season on the pollution levels. The contents of metals (Al, V, Cr, Mn, Fe, Ni, Cu, Zn, Cd, Pb, As, Sb and Hg) were determined using the Inductively Coupled Plasma-Atomic Emission Spectroscopy (ICP-AES), Atomic Absorption Spectroscopy (AAS) and contents of N, C, H via elemental analysis. The influence of the proximity of the factory, the heating season and modelled concentrations of particulate matter <10 µm (PM10) on determined concentrations of elements were studied via multivariate statistical methods using clr-transformed data. This approach led to the first-time demonstration that not only the distance from the industrial source but also the sampling season and PM10 concentrations significantly affect the elemental content in mosses; the association of the emissions from the source and the determined concentrations of elements in moss samples were more evident outside the heating season (October). The analyses of transformed data revealed the association of Fe, Cr, V, As and Al with the coarse particles and their dominant spatial distribution depending on the prevailing wind directions. The spatial distribution of Mn, Zn and Cd, which are carried by fine particles, appears to depend more on atmospheric dispersion and long-range transport, and, thus, these metals should be considered weak markers of the pollution load in the close surroundings of an industrial source.

Highlights

  • Ambient air pollution remains one of the main global environmental concerns presenting significant risks for both human health and vulnerable ecosystems [1,2,3]

  • Small-scale moss biomonitoring in the vicinity of an industrial source was performed for the first time while following the principles of compositional data analysis (CoDa)

  • The centred-log ratio transformation of the data prior to the multivariate analyses allowed the distinction of elements determined in mosses associated with coarse and fine PM fractions, the applicability of the proper data treatment even in small-scale surveys

Read more

Summary

Introduction

Ambient air pollution remains one of the main global environmental concerns presenting significant risks for both human health and vulnerable ecosystems [1,2,3]. Poland) and significant industrial emissions associated with black coal mining and heavy industry, represented by energetics, iron and steelmaking plants and coking plants [3,5,7]. Emissions from these pollution sources with high stacks and significant power contribute to the pollution of a much larger area due to long-range transport and may present risks to ecosystems in other European regions [5,8]. The heavy industry represented by iron and steel production remains one of the most important industrial sources of pollution in the region

Objectives
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call