Health Benefits of Traffic-Related Particulate Matter Control Policies: The Case of Bangkok, Thailand
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منابع مشابه
Young Adult Street Vendors and Adverse Respiratory Health Outcomes in Bangkok, Thailand
Air pollutants of concern include traffic-related air pollution, including particulate matter in respirable coarse and fine size fractions. There are no critical studies to date into associations between knowledge, awareness, and attitudes in using proper respiratory masks and prevalence of respiratory symptoms among urban street vendors in Thailand. In this study, we estimated adverse respirat...
متن کاملMicrobial counts and particulate matter levels in roadside air samples under skytrain stations, Bangkok, Thailand.
In conditions with heavy traffic and crowds of people on roadside areas under skytrain stations in Bangkok, the natural air ventilation may be insufficient and air quality may be poor. A study of 350 air samples collected from the roadside, under skytrain stations in Bangkok, was carried out to assess microbial counts (210 air samples) and particulate matter (PM10) levels (140 samples). The res...
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BACKGROUND Air pollution data in Bangkok, Thailand, indicate that levels of particulate matter with aerodynamic diameter < or = 10 microm (PM(10)) are significantly higher than in most cities in North America and Western Europe, where the health effects of PM(10) are well documented. However, the pollution mix, seasonality, and demographics are different from those in developed Western countrie...
متن کاملStakeholder’s Assessment of the Awareness and Effectiveness of Smoke-free Law in Thailand
Background This study reports stakeholders’ ratings, and perceived gaps in World Health Organization’s (WHO) Framework Convention on Tobacco Control (FCTC) Article 8 implementation in Thailand viewed against WHO’s Guidelines for Article 8 and to inform action in preparing the 2017 Tobacco Product Control Act. Methods Stakeholder ratings of Guideline provisions of Article 8 on a three-tiered s...
متن کاملModeling of the Relationships Between Spatio-Temporal Changes of Traffic Volume and Particulate Matter-2.5 Pollutant Concentration Based on Geographically Weighted Regression (GWR) and Inverse Distance Weighting (IDW) Model: A Case Study in Tehran M
Background and Aim: High concentrations of particulate matter-25 (PM2.5) have been the cause of the unhealthiest days in Tehran, Iran in recent years. This study was conducted with the aim of the spatio-temporal analysis of traffic volume and its relationship with PM2.5 pollutant concentrations in Tehran metropolis, Tehran during 2015-2018, using the Geographic Information System (GIS). Materi...
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تاریخ انتشار 2008