Spatiotemporal patterns in air pollution and sound in Dhaka, Bangladesh

High air pollution and sound in Dhaka pose major health risks, yet limited high-resolution data hinders epidemiologic assessments and interventions. We measured fine particulate matter (PM₂.₅), black carbon (BC), and sound (dBA) at 70 locations across Dhaka during the 2023 dry (Jan-Mar) and wet (Jul-Sep) seasons, with continuous monitoring at 8 fixed sites and short-term sampling at 62 rotating sites (3 days/season). Over 1.7 million minutes of PM<sub>2.5</sub> and 1.2 million minutes of sound were collected, enabling detailed spatial (land use features) and temporal (seasonal, weekly, daily, and diurnal) analyses. Air pollution was four times higher in the dry season, with commercial/industrial areas and transportation corridors having the highest levels, particularly at night. Sound levels varied less temporally, and were highest in transportation corridors, mixed-use areas, and commercial hubs. Air pollution and sound across the city exceeded international guidelines. These findings provide critical evidence to inform targeted policy and interventions.

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Publication Details

Journal
Scientific Reports
Published
2025-09-25
DOI
https://doi.org/10.1038/s41598-025-12815-9
Citations
2
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
6.24

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article

Spatiotemporal patterns in air pollution and sound in Dhaka, Bangladesh

Martha Lee, Zahidul Quayyum, Benjamin Barratt, Lauren Rosenthal et al.
2 citations
Scientific Reports
Noise Effects and Management
6.24
article

Spatiotemporal patterns in air pollution and sound in Dhaka, Bangladesh

Martha Lee, Zahidul Quayyum, Benjamin Barratt, Lauren Rosenthal, Jill C. Baumgartner, Anisur Rahman Bayazid, Raphael Edem Arku, Riaz Hossain Khan
article en
2 citations

Abstract

High air pollution and sound in Dhaka pose major health risks, yet limited high-resolution data hinders epidemiologic assessments and interventions. We measured fine particulate matter (PM₂.₅), black carbon (BC), and sound (dBA) at 70 locations across Dhaka during the 2023 dry (Jan-Mar) and wet (Jul-Sep) seasons, with continuous monitoring at 8 fixed sites and short-term sampling at 62 rotating sites (3 days/season). Over 1.7 million minutes of PM<sub>2.5</sub> and 1.2 million minutes of sound were collected, enabling detailed spatial (land use features) and temporal (seasonal, weekly, daily, and diurnal) analyses. Air pollution was four times higher in the dry season, with commercial/industrial areas and transportation corridors having the highest levels, particularly at night. Sound levels varied less temporally, and were highest in transportation corridors, mixed-use areas, and commercial hubs. Air pollution and sound across the city exceeded international guidelines. These findings provide critical evidence to inform targeted policy and interventions.

Scientific ReportsVol. 15(1)
University of Massachusetts Amherst (US), McGill University Health Centre (CA), MRC Centre for Environment and Health, Imperial College London (GB), McGill University (CA), BRAC University (BD)
Wellcome Trust, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 4%
Noise Effects and Management
6.24
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Spatiotemporal patterns in air pollution and sound in Dhaka, Bangladesh — Martha Lee, Zahidul Quayyum, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS