Junyapoon, Suwannee

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Junyapoon, Suwannee
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Email
suwannee.ju@kmitl.ac.th

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    Item type:Publication,
    Size distribution, characterization and risk assessment of particle-bound polycyclic aromatic hydrocarbons during haze periods in Phayao Province, northern Thailand
    (2017-11-01)
    Pooltawee, Jaturaporn
    ;
    Pimpunchat, Busayamas
    ;
    Junyapoon, Suwannee
    This study aims to investigate the concentrations and distributions of particulate matters and particle-bound polycyclic aromatic hydrocarbons (p-PAHs) in different inhalable fractions during haze periods in Phayao Province, northern Thailand and identify their possible emission sources through the characteristic ratios of selected PAHs, then determine an estimate of the potential lung cancer risk. The particulate samples were collected during haze periods between February 18 and April 8, 2014 and non-haze period from June 17 to 22, 2014 using an eight-stage cascade impactor. Each filter sample was weighed, ultrasonically extracted with acetonitrile, and then analyzed by SIM-GC-MS to identify 16 PAHs. The experimental results show that the concentrations of ultrafine (d<inf>ae</inf> < 0.4 μm), fine (0.4 μm < d<inf>ae</inf> < 2.1 μm), and coarse (d<inf>ae</inf> > 2.1 μm) particles during haze periods were in the range of 14.98–26.52 μg m<sup>−3</sup>, 62.57–101.52 μg m<sup>−3</sup>, and 55.27–89.68 μg m<sup>−3</sup>, respectively; whereas, their concentrations of 16 PAHs were in the range of 7.82–36.06 ng m<sup>−3</sup>, 26.66–61.89 ng m<sup>−3</sup>, and 9.35–30.93 ng m<sup>−3</sup>, respectively. The p-PAH distribution profiles during the haze periods were bimodal in coarse and accumulation modes, which are closely related to their particle size distributions. The characteristic ratios of BaP/BgP and INP/(BgP+InP) adsorbed on ultrafine and fine particles were 0.81–0.88 and 0.38–0.86 and 0.54–0.57 and 0.44–0.52, respectively. The values of B[a]P<inf>eq</inf> observed during haze periods varied from 9.57 to 29.05 ng m<sup>−3</sup>. Estimated lifetime cancer risks during haze periods ranged from 8.324 to 25.27 additional cases per 10,000 people exposed, which is about 10 times higher than that during non-haze period.
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    Item type:Publication,
    Modeling haze problems in the North of Thailand using logistic regression
    (2014-01-01)
    Pimpunchat, Busayamas
    ;
    Sirimangkhala, Khwansiri
    ;
    Junyapoon, Suwannee
    At present, air pollution is a major problem in the upper northern region of Thailand. Air pollutants have an effect on human health, the economy and the traveling industry. The severity of this problem clearly appears every year during the dry season, from February to April. In particular it becomes very serious in March, especially in Chiang Mai province where smoke haze is a major issue. This study looked into related data from 2005-2010 covering eight principal parameters: PM10 (particulate matter with a diameter smaller than 10 micrometer), CO (carbon monoxide), NO<inf>2</inf> (nitrogen dioxide), SO<inf>2</inf> (sulphur dioxide), RH (relative humidity), NO (nitrogen oxide), pressure, and rainfall. Overall haze problem occurrence was calculated from a logistic regression model. Its dependence on the eight parameters stated above was determined for design conditions using the correlation coefficients with PM10. The proposed overall haze problem modeling can be used as a quantitative assessment criterion for supporting decision making to protect human health. This study proposed to predict haze problem occurrence in 2011. The agreement of the results from the mathematical model with actual measured PM10 concentration data from the Pollution Control Department was quite satisfactory.