In-depth characterization of particulate matter in a highly polluted urban environment at the foothills of Himalaya–Karakorum Region

dc.authorscopusid57204072572
dc.authorscopusid57411094200
dc.authorscopusid55494568400
dc.authorscopusid35729394800
dc.authorscopusid56198770900
dc.authorscopusid59157650100
dc.authorscopusid9233141000
dc.contributor.authorZeb, Bahadar
dc.contributor.authorAlam, Khan
dc.contributor.authorHuang, Zhongwei
dc.contributor.authorÖztürk, Fatma
dc.contributor.authorWang, Peng
dc.contributor.authorMihaylova, Lyudmila
dc.contributor.authorKhokhar, Muhammad Fahim
dc.date.accessioned2024-09-25T19:43:06Z
dc.date.available2024-09-25T19:43:06Z
dc.date.issued2024
dc.departmentAbant İzzet Baysal Üniversitesien_US
dc.description.abstractIn recent years, the rising levels of atmospheric particulate matter (PM) have an impact on the earth’s system, leading to undesirable consequences on various aspects like human health, visibility, and climate. The present work is carried out over an insufficiently studied but polluted urban area of Peshawar, which lies at the foothills of the famous Himalaya and Karakorum area, Northern Pakistan. The particulate matter with an aerodynamic diameter of less than 10 µm, i.e., PM10 are collected and analyzed for mineralogical, morphological, and chemical properties. Diverse techniques were used to examine the PM10 samples, for instance, Fourier transform infrared spectroscopy, x-ray diffraction, and scanning electron microscopy along with energy-dispersive x-ray spectroscopy, proton-induced x-ray emission, and an OC/EC carbon analyzer. The 24 h average PM10 mass concentration along with standard deviation was investigated to be 586.83 ± 217.70 µg/m3, which was around 13 times greater than the permissible limit of the world health organization (45 µg/m3) and 4 times the Pakistan national environmental quality standards for ambient PM10 (150 µg/m3). Minerals such as crystalline silicate, carbonate, asbestiform minerals, sulfate, and clay minerals were found using FTIR and XRD investigations. Microscopic examination revealed particles of various shapes, including angular, flaky, rod-like, crystalline, irregular, rounded, porous, chain, spherical, and agglomeration structures. This proved that the particles had geogenic, anthropogenic, and biological origins. The average value of organic carbon, elemental carbon, and total carbon is found to be 91.56 ± 43.17, 6.72 ± 1.99, and 102.41 ± 44.90 µg/m3, respectively. Water-soluble ions K+ and OC show a substantial association (R = 0.71). Prominent sources identified using Principle component analysis (PCA) are anthropogenic, crustal, industrial, and electronic combustion. This research paper identified the potential sources of PM10, which are vital for preparing an air quality management plan in the urban environment of Peshawar. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.en_US
dc.identifier.doi10.1007/s11356-024-33487-4
dc.identifier.endpage35726en_US
dc.identifier.issn0944-1344
dc.identifier.issue24en_US
dc.identifier.pmid38739339en_US
dc.identifier.scopus2-s2.0-85192829615en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage35705en_US
dc.identifier.urihttps://doi.org/10.1007/s11356-024-33487-4
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12439
dc.identifier.volume31en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEnvironmental Science and Pollution Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzYK_20240925en_US
dc.subjectElemental carbonen_US
dc.subjectOrganic carbonen_US
dc.subjectPeshawaren_US
dc.subjectPrinciple component analysis, Air quality analysisen_US
dc.subjectTotal carbonen_US
dc.titleIn-depth characterization of particulate matter in a highly polluted urban environment at the foothills of Himalaya–Karakorum Regionen_US
dc.typeArticleen_US

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