2020
DOI: 10.4209/aaqr.2020.03.0120
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Long-range Transboundary Atmospheric Transport of Polycyclic Aromatic Hydrocarbons, Carbonaceous Compositions, and Water-soluble Ionic Species in Southern Thailand

Abstract: This study investigated atmospheric particulate matter (PM) with an aerodynamic diameter of < 2.5 µm (PM 2.5 ) observed at the Prince of Songkla University (Phuket Campus) in southern Thailand. All samples (n = 75) were collected using MiniVol™ portable air samplers from March 2017 to February 2018. Carbonaceous aerosol compositions, i.e., organic carbon (OC) and elemental carbon (EC), water-soluble ionic species (WSIS), and polycyclic aromatic hydrocarbons (PAHs) in the PM 2.5 samples were identified and quan… Show more

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Cited by 46 publications
(23 citation statements)
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“…Alternatively, it appears rationale to interpret the comparatively high contribution of 5-6 ring PAHs as a consequence of unique distribution and compositional fingerprints detected in rice samples of this region. This interpretation is in good accordance with previous studies highlighting that HMW PAHs are significantly prominent ([ 70%) compared to LMW PAHs in PM 2.5 collected in Southeast Asian countries (ChooChuay et al, 2020a(ChooChuay et al, , 2020b(ChooChuay et al, , 2020cKhan et al, 2015;Oanh et al, 2020;Pongpiachan et al, 2015;Sulong et al, 2019). In addition, there are even further factors in operation including gas-particle partitioning, atmospheric transport, and biotransformation that could contribute to compositional alteration of PAH congeners in rice samples (Jariyasopit et al, 2014;Pongpiachan et al, 2013c;Singer et al, 2003;Sun et al, 2018).…”
Section: Percentage Contributions Of Pahssupporting
confidence: 92%
“…Alternatively, it appears rationale to interpret the comparatively high contribution of 5-6 ring PAHs as a consequence of unique distribution and compositional fingerprints detected in rice samples of this region. This interpretation is in good accordance with previous studies highlighting that HMW PAHs are significantly prominent ([ 70%) compared to LMW PAHs in PM 2.5 collected in Southeast Asian countries (ChooChuay et al, 2020a(ChooChuay et al, , 2020b(ChooChuay et al, , 2020cKhan et al, 2015;Oanh et al, 2020;Pongpiachan et al, 2015;Sulong et al, 2019). In addition, there are even further factors in operation including gas-particle partitioning, atmospheric transport, and biotransformation that could contribute to compositional alteration of PAH congeners in rice samples (Jariyasopit et al, 2014;Pongpiachan et al, 2013c;Singer et al, 2003;Sun et al, 2018).…”
Section: Percentage Contributions Of Pahssupporting
confidence: 92%
“…In order to investigate the sources of PAH congeners in PM2.5 and PM10 over Gdynia, the air mass trajectory analysis was performed. The air mass transport models have been widely used in many aerosol-oriented studies (Forster et al 2001, Chang et al 2011, Halse et al, 2011, Aalto et al, 2015, Moroni et al, 2015, ChooChuay et al, 2020. In the present study, 24-h backward trajectories (BTs) were computed using a three-dimensional kinematic FLEXTRA air mass trajectory model (NILU and Institute of Meteorology and Geophysics, Vienna) with numerical meteorological data provided by European Centre for Medium Range Weather Forecast (ECMWF).…”
Section: Air Mass Trajectoriesmentioning
confidence: 99%
“…Southeast Asia (SEA) is strongly affected by atmospheric haze pollution (Wiriya et al, 2013;(Li and Shao, 2009;Pongpiachan et al, 2014a;Pongpiachan et al, 2015;Chuang et al, 2016;Li et al, 2016;Chomanee et al, 2020;Dejchanchaiwong et al, 2020;ChooChuay et al, 2020a;ChooChuay et al, 2020b;ChooChuay et al, 2020c;Dejchanchaiwong and Tekasakul, 2021). In the upper SEA, the haze is observed during a quarter of every year and studied, mostly in Thailand (Wiriya et al, 2013;Wiriya et al, 2016;Thepnuan et al, 2019;Pani et al, 2019), but recently, air quality affected by PM10 and PM2.5 was studied in Laos (Nguyen et al, 2019), Myanmar (Sricharoenvech et al, 2020) and Vietnam (Le, 2020).…”
Section: Accepted Manuscript 1 Introductionmentioning
confidence: 99%