Risk of adult street vendor exposure to traffic-related air pollution in Bangkok, Thailand

Saisattha Noomnual, Derek G. Shendell

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Traffic-related air pollution (TRAP), including particulate matter (PM) in respirable coarse and fine size fractions (PM10 and PM2.5), is known to have exposure effects on human health and environment. Real-time PM10 and PM2.5 concentrations were collected from the study locations in Bangkok, Thailand, using TSI AM510 particle counters. Temperature and % relative humidity (%RH) were also collected. Data were compared to data from the closest station of the Pollution Control Department (PCD), Thailand. Real-time mean concentration varied from 86 to 1107 µg/m3 (PM10) and varied from 25 to 664 µg/m3 (PM2.5). In addition, real-time mean PM10 (223.1 µg/m3) was nearly four times greater than that measured by the PCD station, 60 µg/m3. Temperature and %RH from real-time air monitoring and PCD station were comparable. In each study location (five locations, two in morning and afternoon/evening), there were significant positive correlations between PM10 and PM2.5 concentrations and significant negative correlations between temperature and RH%. Results suggested that outdoor TRAP via measured real-time PM concentrations were more realistic exposure concentration estimates among street vendors as related to respiratory and other symptoms than data obtained from PCD station. Nevertheless, PM10 as measured by the PCD station might be a reasonable surrogate for estimated outdoor PM2.5 exposure.

Original languageEnglish (US)
Pages (from-to)340-349
Number of pages10
JournalHuman and Ecological Risk Assessment
Volume23
Issue number2
DOIs
StatePublished - Feb 17 2017

All Science Journal Classification (ASJC) codes

  • Ecological Modeling
  • Pollution
  • Health, Toxicology and Mutagenesis

Keywords

  • outdoor air quality
  • particulate matter
  • respiratory symptoms
  • traffic-related air pollution
  • urban environment

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