Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/74943
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dc.contributor.authorWenhuai Songen_US
dc.contributor.authorYan Lin Zhangen_US
dc.contributor.authorYuxian Zhangen_US
dc.contributor.authorFang Caoen_US
dc.contributor.authorMartin Rauberen_US
dc.contributor.authorGary Salazaren_US
dc.contributor.authorSawaeng Kawichaien_US
dc.contributor.authorTippawan Prapamontolen_US
dc.contributor.authorSönke Szidaten_US
dc.date.accessioned2022-10-16T06:54:55Z-
dc.date.available2022-10-16T06:54:55Z-
dc.date.issued2022-10-01en_US
dc.identifier.issn18736750en_US
dc.identifier.issn01604120en_US
dc.identifier.other2-s2.0-85135974456en_US
dc.identifier.other10.1016/j.envint.2022.107466en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135974456&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/74943-
dc.description.abstractBiomass burning (BB) is an important contributor to the air pollution in Southeast Asia (SEA), but the emission sources remain great uncertainty. In this study, PM2.5 samples were collected from an urban (Chiang Mai University, CMU) and a rural (Nong Tao village, NT) site in Chiang Mai, Thailand from February to April (high BB season, HBB) and from June to September (low BB season, LBB) in 2018. Source apportionment of carbonaceous aerosols was carried out by Latin Hypercube Sampling (LHS) method incorporating the radiocarbon (14C) and organic markers (e.g., dehydrated sugars, aromatic acids, etc.). Thereby, carbonaceous aerosols were divided into the fossil-derived elemental carbon (ECf), BB-derived EC (ECbb), fossil-derived primary and secondary organic carbon (POCf, SOCf), BB-derived OC (OCbb) and the remaining OC (OCnf, other). The fractions of ECbb generally prevailed over ECf throughout the year. OCbb was the dominant contributor to total carbon with a clear seasonal trend (65.5 ± 5.8 % at CMU and 79.9 ± 7.6 % at NT in HBB, and 39.1 ± 7.9 % and 42.8 ± 4.6 % in LBB). The distribution of POCf showed a spatial difference with a higher contribution at CMU, while SOCf displayed a temporal variation with a greater fraction in LBB. OCnf, other was originated from biogenic secondary aerosols, cooking emissions and bioaerosols as resolved by the principal component analysis with multiple liner regression model. The OCnf, other contributed within a narrow range of 6.6 %-14.4 %, despite 34.9 ± 7.9 % at NT in LBB. Our results highlight the dominance of BB-derived fractions in carbonaceous aerosols in HBB, and call the attention to the higher production of SOC in LBB.en_US
dc.subjectEnvironmental Scienceen_US
dc.titleIs biomass burning always a dominant contributor of fine aerosols in upper northern Thailand?en_US
dc.typeJournalen_US
article.title.sourcetitleEnvironment Internationalen_US
article.volume168en_US
article.stream.affiliationsNanjing University of Information Science & Technologyen_US
article.stream.affiliationsUniversity of Bernen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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