Wintertime investigation of PM10 concentrations, sources, and relationship with different meteorological parameters
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Author
Zeb, B.Ditta, A.
Alam, K.
Sorooshian, A.
Din, B.U.
Iqbal, R.
Habib, ur, Rahman, M.
Raza, A.
Alwahibi, M.S.
Elshikh, M.S.
Affiliation
Department of Chemical and Environmental Engineering, University of ArizonaDepartment of Hydrology and Atmospheric Sciences, University Arizona
Issue Date
2024-01-02
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Nature ResearchCitation
Zeb, B., Ditta, A., Alam, K. et al. Wintertime investigation of PM10 concentrations, sources, and relationship with different meteorological parameters. Sci Rep 14, 154 (2024). https://doi.org/10.1038/s41598-023-49714-wJournal
Scientific ReportsRights
© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Meteorological factors play a crucial role in affecting air quality in the urban environment. Peshawar is the capital city of the Khyber Pakhtunkhwa province in Pakistan and is a pollution hotspot. Sources of PM10 and the influence of meteorological factors on PM10 in this megacity have yet to be studied. The current study aims to investigate PM10 mass concentration levels and composition, identify PM10 sources, and quantify links between PM10 and various meteorological parameters like temperature, relative humidity (RH), wind speed (WS), and rainfall (RF) during the winter months from December 2017 to February 2018. PM10 mass concentrations vary from 180 – 1071 µg m−3, with a mean value of 586 ± 217 µg m−3. The highest concentration is observed in December, followed by January and February. The average values of the mass concentration of carbonaceous species (i.e., total carbon, organic carbon, and elemental carbon) are 102.41, 91.56, and 6.72 μgm−3, respectively. Water-soluble ions adhere to the following concentration order: Ca2+ > Na+ > K+ > NH4+ > Mg2+. Twenty-four elements (Al, Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Co, Zn, Ga, Ge, As, Se, Kr, Ag, Pb, Cu, and Cd) are detected in the current study by PIXE analysis. Five sources based on Positive Matrix Factorization (PMF) modeling include industrial emissions, soil and re-suspended dust, household combustion, metallurgic industries, and vehicular emission. A positive relationship of PM10 with temperature and relative humidity is observed (r = 0.46 and r = 0.56, respectively). A negative correlation of PM10 is recorded with WS (r = − 0.27) and RF (r = − 0.46). This study’s results motivate routine air quality monitoring owing to the high levels of pollution in this region. For this purpose, the establishment of air monitoring stations is highly suggested for both PM and meteorology. Air quality standards and legislation need to be revised and implemented. Moreover, the development of effective control strategies for air pollution is highly suggested. © 2024, The Author(s).Note
Open access journalISSN
2045-2322PubMed ID
38167892Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1038/s41598-023-49714-w
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Except where otherwise noted, this item's license is described as © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License.
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