| Autor: |
Olise FS; Environmental Research Laboratory (ERL), Department of Physics and Engineering Physics, Obafemi Awolowo University, Ile-Ife, Nigeria., Ogundele LT; Environmental Research Laboratory (ERL), Department of Physics and Engineering Physics, Obafemi Awolowo University, Ile-Ife, Nigeria. logundele@unimed.edu.ng.; Department of Physics, University of Medical Sciences, Ondo, Nigeria. logundele@unimed.edu.ng., Olajire MA; Environmental Research Laboratory (ERL), Department of Physics and Engineering Physics, Obafemi Awolowo University, Ile-Ife, Nigeria., Owoade OK; Environmental Research Laboratory (ERL), Department of Physics and Engineering Physics, Obafemi Awolowo University, Ile-Ife, Nigeria., Oloyede FA; Department of Botany, Obafemi Awolowo University, Ile-Ife, Nigeria., Fawole OG; Environmental Research Laboratory (ERL), Department of Physics and Engineering Physics, Obafemi Awolowo University, Ile-Ife, Nigeria., Ezeh GC; Center for Energy Research and Development (CERD), Obafemi Awolowo University, Ile-Ife, Nigeria. |
| Jazyk: |
angličtina |
| Zdroj: |
Environmental monitoring and assessment [Environ Monit Assess] 2019 Oct 30; Vol. 191 (11), pp. 691. Date of Electronic Publication: 2019 Oct 30. |
| DOI: |
10.1007/s10661-019-7810-8 |
| Abstrakt: |
This study identified specific emission sources of atmospheric pollution in the vicinity of two secondary iron and steel smelting factories in Osun state, southwestern Nigeria, using transplanted biomonitors. A total of 120 biomonitors consisting of lichen and moss were grown under a controlled environment and later transplanted to the surroundings of each factory for monitoring of air pollutants for 3 months in both wet and dry seasons. The elemental contents (K, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Br, Rb and Sr) of the biomonitors were determined by X-ray florescence (XRF) spectroscopy. The source identification was performed by applying positive matrix factorization (PMF) receptor modelling approach using the elemental data set from the two smelters. Among the measured elements, Fe had the highest average concentration in the lichen and moss samples as well as in both seasons. The average concentrations of Co, Ni, Cu, Zn, As and Br were low. The varying average elemental concentrations of lichen and moss reflect the pattern of impact of smelting on atmospheric airborne pollution around the factories. The four factors resolved by PMF and their respective contributions were metal processing (39.0%), Fe source (28.0%), crustal/soil (22.0%) and road dust (11.0%) for moss and Fe source (34.0%), crustal/soil (26.0%), coal combustion (25.0%) and road dust (15.0%) for lichen. The study showcases lichen and moss as cheaper and yet efficient uninterrupted monitoring tools of air pollution sources associated with iron and steel smelting industrial activities. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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