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Effects of biomass and agricultural waste burnings on diurnal variation and vertical distribution of OC/EC in Hat-Yai City, Thailand

  • Siwatt Pongpiachan
  • , Kin Fai Ho
  • , Junji Cao
  • National Institute of Development Administration
  • CAS - Institute of Earth Environment

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Carbonaceous compositions, water-soluble ionic species and trace gaseous species were identified and quantified in Hat-Yai city, Thailand. All samples were collected every 3 h consecutively from 21 h December 17th to 21 h December 20th at Site 1 (30 m agl), Site 2 (60 m agl) and Site 3 (125 m agl). The averaged concentration of OC was significantly higher at the Site 1 than those detected at Site 2 and 3 suggesting that anthropogenic activities at ground level might play a major role in governing air quality at ground level. The morning peak of carbonaceous compositions observed during the sampling period of 6-9 emphasized the main contribution of traffic emissions on OC/EC contents in Hat-Yai city. In this study, it was found that aged maritime aerosols from long-range transportation and/or biomass burning particles overwhelmed carbonaceous aerosols at the top of building. Whilst hierarchical cluster analysis and Pearson correlation analysis show some considerable influences of night-time tourism activities on carbonaceous contents at ground level, principal component analysis highlights the impacts of maritime aerosols, biomass burning and possibly agricultural waster burning particles at higher atmospheric layer.

Original languageEnglish
Pages (from-to)360-374
Number of pages15
JournalAsian Journal of Applied Sciences
Volume7
Issue number5
DOIs
StatePublished - 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Carbonaceous aerosols
  • Hierarchical cluster analysis
  • Principal component analysis
  • Tropical climate
  • Vertical distribution

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