Trends in atmospheric particulate matter in Dhaka, Bangladesh, and the vicinity

Rana, Md Masud; Norela Sulaiman,; Sivertsen, Bjarne; Khan, Md Firoz; Nasreen, Sabera

Trends in atmospheric particulate matter in Dhaka, Bangladesh, and the vicinity

2016

Rana, Md Masud | Norela Sulaiman, | Sivertsen, Bjarne | Khan, Md Firoz | Nasreen, Sabera

Dhaka and its neighboring areas suffer from severe air pollution, especially during dry season (November–April). We investigated temporal and directional variations in particulate matter (PM) concentrations in Dhaka, Gazipur, and Narayanganj from October 2012 to March 2015 to understand different aspects of PM concentrations and possible sources of high pollution in this region. Ninety-six-hour backward trajectories for the whole dry season were also computed to investigate incursion of long-range pollution into this area. We found yearly PM₁₀ concentrations in this area about three times and yearly PM₂.₅ concentrations about six times greater than the national standards of Bangladesh. Dhaka and its vicinity experienced several air pollution episodes in dry season when PM₂.₅ concentrations were 8–13 times greater than the World Health Organization (WHO) guideline value. Higher pollution and great contribution of PM₂.₅ most of the time were associated with the north-westerly wind. Winter (November to January) was found as the most polluted season in this area, when average PM₁₀ concentrations in Dhaka, Gazipur, and Narayanganj were 257.1, 240.3, and 327.4 μg m⁻³, respectively. Pollution levels during wet season (May–October) were, although found legitimate as per the national standards of Bangladesh, exceeded WHO guideline value in 50 % of the days of that season. Trans-boundary source identifications using concentration-weighted trajectory method revealed that the sources in the eastern Indian region bordering Bangladesh, in the north-eastern Indian region bordering Nepal and in Nepal and its neighboring areas had high probability of contributing to the PM pollutions at Gazipur station.

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