Science Inventory

Characterizing variations in ambient PM2.5 concentrations at the U.S. Embassy in Dhaka, Bangladesh using observations and the CMAQ modeling system

Citation:

Sarwar, G., C. Hogrefe, B. Henderson, K. Foley, R. Mathur, B. Murphy, AND S. Ahmed. Characterizing variations in ambient PM2.5 concentrations at the U.S. Embassy in Dhaka, Bangladesh using observations and the CMAQ modeling system. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, Netherlands, 296:N/A, (2023). https://doi.org/10.1016/j.atmosenv.2023.119587

Impact/Purpose:

We analyze measured hourly PM2.5 concentrations at the U.S. Embassy in Dhaka and compare CMAQ model predictions with the observed data. We find that concentrations are seasonally dependent with the highest occurring in winter and the lowest in monsoon seasons. Mean winter PM2.5 concentrations reached ~165-175 mg/m3 while monsoon concentrations remained ~30-35 mg/m3. Annual mean PM2.5 concentration reached ~5-6 times greater than the Bangladesh annual PM2.5 standard of 15 mg/m3. The number of days exceeding the daily PM2.5 standard of 65 mg/m3 in a year approached nearly 50%. Daily-mean PM2.5 concentrations remained elevated (>65 mg/m3) for more than 80 consecutive days. Night-time concentrations were greater than daytime concentrations. The comparison of Community Multiscale Air Quality (CMAQ) model results with observed data suggests that the model can reproduce the seasonal variation of observed data but underpredicts observed PM2.5 in winter months with a normalized mean bias of 13-32%. In the model, organic aerosol is the largest component of PM2.5, of which secondary organic aerosol plays a dominant role. Transboundary pollution has a large impact on the PM2.5 concentration in Dhaka, with an annual mean contribution of ~40 mg/m3.

Description:

We analyze hourly PM2.5 (particles with an aerodynamic diameter of ≤2.5 μm) concentrations measured at the U.S. Embassy in Dhaka over the 2016–2021 time period and find that concentrations are seasonally dependent with the highest occurring in winter and the lowest in monsoon seasons. Mean winter PM2.5 concentrations reached ∼165–175 μg/m3 while monsoon concentrations remained ∼30–35 μg/m3. Annual mean PM2.5 concentration reached ∼5–6 times greater than the Bangladesh annual PM2.5 standard of 15 μg/m3. The number of days exceeding the daily PM2.5 standard of 65 μg/m3 in a year approached nearly 50%. Daily-mean PM2.5 concentrations remained elevated (>65 μg/m3) for more than 80 consecutive days. Night-time concentrations were greater than daytime concentrations. The comparison of results obtained from the Community Multiscale Air Quality (CMAQ) model simulations over the Northern Hemisphere using 108-km horizontal grids with observed data suggests that the model can reproduce the seasonal variation of observed data but underpredicts observed PM2.5 in winter months with a normalized mean bias of -13 to –32%. In the model, organic aerosol is the largest component of PM2.5, of which secondary organic aerosol plays a dominant role. Transboundary pollution has a large impact on the modeled PM2.5 concentration in Dhaka, with an annual mean contribution of ∼40 μg/m3.