Source identification of PM2.5 during the COVID-19 lockdown in Bangkok and the metropolitan region by ion beam analysis (IBA) and positive matrix factorization (PMF) techniques

dc.contributor.authorAmphalop, Sen_AU
dc.contributor.authorChienthavorn, Oen_AU
dc.contributor.authorMeesat, Ren_AU
dc.contributor.authorTangpong, Pen_AU
dc.contributor.authorChutichaisakda, Men_AU
dc.contributor.authorManohar, Men_AU
dc.contributor.authorWilkins, Fen_AU
dc.contributor.authorSudprasert, Wen_AU
dc.date.accessioned2023-12-22T00:47:02Zen_AU
dc.date.available2023-12-22T00:47:02Zen_AU
dc.date.issued2023-07en_AU
dc.date.statistics2023-06-23en_AU
dc.description.abstractPM2.5 pollution has significant impacts on human health and has been a persistent problem in Bangkok and its metropolitan area for many decades. To effectively address the issue, source identification is crucial. This study was aimed at determining the sources of PM2.5 in three regions; Pathumwan district in Bangkok, Mueang district in Samut Sakhon province, and Mueang district in Samut Prakan province. PM2.5 sampling was performed according to the Federal Reference Method (FRM). A combined total of 135 samples were collected across all three locations, over a 24-h period from December 2021 to February 2022 with 46.2 mm polytetrafluoroethylene (PTFE) membranes. The filters were analyzed using particle accelerator-based ion beam analysis techniques; Proton-induced X-ray emission, proton-induced gamma-ray emission, and proton elastic scattering analysis. Positive matrix factorization was used for source apportionment for the three locations. The results indicated that the main contributors to PM2.5 in Bangkok, Samut Prakan, and Samut Sakhon were biomass/solid waste burning (45.6%), traffic (43.7%), and construction (36.0%), respectively. These preliminary findings further supported the need for expanding these types of studies to implement specific strategies for a reduction of PM2.5 level in high activity cities and which could then be applied to other urban areas around the world. © 2023 Turkish National Committee for Air Pollution Research and Control. Production and hosting by Elsevier B.V.en_AU
dc.description.sponsorshipThis research was supported by the following agencies: the National Research Council of Thailand's Graduate Studies Development Plan 2022; the IAEA and the ANSTO under the G42008 Coordinated Research Activities (CRPs) “Facilitating Experiments with Ion Beam Accelerators”. We acknowledge support from the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS) for access to the accelerator IBA capabilities at ANSTO Centre for Accelerator Science and Kasetsart University through the Basic Research Fund (BRF) Policy of the Faculty of Science. The authors are grateful to the Pollution Control Department for supporting FRM samplers and the Thailand Institute of Nuclear Technology (Public Organization) for supporting the microbalance. The authors would like to thank Ms. Kanokwan Khamanek who assisted in collecting PM2.5 samples.en_AU
dc.identifier.articlenumber101814en_AU
dc.identifier.citationAmphalop, S., Chienthavorn, O., Meesat, R., Tangpong, P., Chutichaisakda, M., Manohar, M., Wilkins, F., & Sudprasert, W. (2023). Source identification of PM2.5 during the COVID-19 lockdown in Bangkok and the metropolitan region by ion beam analysis (IBA) and positive matrix factorization (PMF) techniques. Atmospheric Pollution Research, 14(7), 101814. doi:10.1016/j.apr.2023.101814en_AU
dc.identifier.issn1309-1042en_AU
dc.identifier.issue7en_AU
dc.identifier.journaltitleAtmospheric Pollution Researchen_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/15300en_AU
dc.identifier.volume14en_AU
dc.language.isoenen_AU
dc.publisherElsevier B. V.en_AU
dc.relation.urihttps://doi.org/10.1016/j.apr.2023.101814en_AU
dc.subjectPollutionen_AU
dc.subjectThailanden_AU
dc.subjectIon beamsen_AU
dc.subjectPIXE analysisen_AU
dc.subjectAir pollutionen_AU
dc.subjectFiltersen_AU
dc.subjectAcceleratorsen_AU
dc.titleSource identification of PM2.5 during the COVID-19 lockdown in Bangkok and the metropolitan region by ion beam analysis (IBA) and positive matrix factorization (PMF) techniquesen_AU
dc.typeJournal Articleen_AU
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