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Relationships between Meteorological Parameters and Particulate Matter in Mae Hong Son Province, Thailand

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  • Wissanupong Kliengchuay

    (Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand)

  • Aronrag Cooper Meeyai

    (Department of Epidemiology, Faculty of Public Health, Mahidol University, Bangkok 10400, Thailand)

  • Suwalee Worakhunpiset

    (Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand)

  • Kraichat Tantrakarnapa

    (Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand)

Abstract

Meteorological parameters play an important role in determining the prevalence of ambient particulate matter (PM) in the upper north of Thailand. Mae Hong Son is a province located in this region and which borders Myanmar. This study aimed to determine the relationships between meteorological parameters and ambient concentrations of particulate matter less than 10 µm in diameter (PM 10 ) in Mae Hong Son. Parameters were measured at an air quality monitoring station, and consisted of PM 10 , carbon monoxide (CO), ozone (O 3 ), and meteorological factors, including temperature, rainfall, pressure, wind speed, wind direction, and relative humidity (RH). Nine years (2009–2017) of pollution and climate data obtained from the Thai Pollution Control Department (PCD) were used for analysis. The results of this study indicate that PM 10 is influenced by meteorological parameters; high concentration occurred during the dry season and northeastern monsoon seasons. Maximum concentrations were always observed in March. The PM 10 concentrations were significantly related to CO and O 3 concentrations and to RH, giving correlation coefficients of 0.73, 0.39, and −0.37, respectively ( p -value < 0.001). Additionally, the hourly PM 10 concentration fluctuated within each day. In general, it was found that the reporting of daily concentrations might be best suited to public announcements and presentations. Hourly concentrations are recommended for public declarations that might be useful for warning citizens and organizations about air pollution. Our findings could be used to improve the understanding of PM 10 concentration patterns in Mae Hong Son and provide information to better air pollution measures and establish a warning system for the province.

Suggested Citation

  • Wissanupong Kliengchuay & Aronrag Cooper Meeyai & Suwalee Worakhunpiset & Kraichat Tantrakarnapa, 2018. "Relationships between Meteorological Parameters and Particulate Matter in Mae Hong Son Province, Thailand," IJERPH, MDPI, vol. 15(12), pages 1-13, December.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2801-:d:189309
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    References listed on IDEAS

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    1. Xiaodong Li & Xuwu Chen & Xingzhong Yuan & Guangming Zeng & Tomás León & Jie Liang & Gaojie Chen & Xinliang Yuan, 2017. "Characteristics of Particulate Pollution (PM 2.5 and PM 10 ) and Their Spacescale-Dependent Relationships with Meteorological Elements in China," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    2. Pier Mannuccio Mannucci & Massimo Franchini, 2017. "Health Effects of Ambient Air Pollution in Developing Countries," IJERPH, MDPI, vol. 14(9), pages 1-8, September.
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    Cited by:

    1. Sarima Niampradit & Wissanupong Kliengchuay & Rachaneekorn Mingkhwan & Suwalee Worakhunpiset & Nuttapohn Kiangkoo & Suntorn Sudsandee & Anuttara Hongthong & Weerayuth Siriratruengsuk & Thunyaluk Muang, 2022. "The Elemental Characteristics and Human Health Risk of PM 2.5 during Haze Episode and Non-Haze Episode in Chiang Rai Province, Thailand," IJERPH, MDPI, vol. 19(10), pages 1-13, May.

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