Emission source apportionment of the road dust-bound trace and major elements in Najafabad to the west of Isfahan megacity (Iran) based on multivariate receptor-oriented source models of PMF, PCFA and UNMIX

Saeed Shojaee Barjoee (), Mohammad Azizi, Moslem Yazdani, Elahe Alikhani and Ali Khaledi
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Saeed Shojaee Barjoee: University of Yazd
Mohammad Azizi: University of Shiraz Payam Noor
Moslem Yazdani: Isfahan University of Technology
Elahe Alikhani: University of Yazd
Ali Khaledi: University of Tehran

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 4, No 86, 10333-10366

Abstract: Abstract Research in the source apportionment of trace and major elements for the successful implementation of strategies in environmental management has expanded following growth trends in industrial activities, urban transportation systems, and urbanization in developing countries. This study adopted a novel approach to identify and quantify the contribution of geogenic sources along with other potential sources. Enrichment factor (EF), principal component factor analysis (PCFA), positive matrix factorization (PMF), UNMIX receptor model, and the SPECIATE database were used for source apportionment to determine the role of twenty-four trace and major elements as pollutants in the road dust of Najafabad (Iran). The statistical analyses of the geochemical data were conducted via GraphPad Prism, version 9.0, and SPSS, version 22. According to the results, the concentration levels of all the trace and major elements, except Cd and K, were higher than the background value. The mean EF value for Ce was the highest (10.93), followed by Ba (6.09), Al (5.30), Mg (5.71), Sr (3.63), and Y (3.17), while the other elements were of minimum enrichment in the dust samples (EF

Keywords: Positive matrix factorization (PMF); UNMIX; Geogenic source; Trace and major elements of road dust; Principal component factor analysis (PCFA) (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03149-5

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