The relationship between personal exposure and ambient PM2.5 and black carbon in Beijing

https://doi.org/10.1016/j.scitotenv.2020.139801Get rights and content
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Highlights

  • Real-time personal PM2.5 and BC exposures measured for >90 Beijing college students

  • Sensor-based portable particle monitors and GPS were used for personal monitoring.

  • Statistics and graphs presented by gender, season, time-of-day and microenvironment

  • Personal concentrations were generally lower than ambient concentrations.

  • BC personal-ambient difference varied more across microenvironments than PM2.5.

Abstract

This study is part of the “Air Polluion Impacts on Cardiopulmonary disease in Beijing: an integrated study of Exposure Science, Toxicologenomics & Environmental Epidemiology (APIC-ESTEE)” project under the UK-China joint research programme “Atmospheric Pollution and Human Health in a Chinese Megacity (APHH-China)”. The aim is to capture the spatio-temporal variability in people's exposure to fine particles (PM2.5) and black carbon (BC) air pollution in Beijing, China. A total of 120 students were recruited for a panel study from ten universities in Haidian District in northwestern Beijing from December 2017 to June 2018. Real-time personal concentrations of PM2.5 and BC were measured over a 24-h period with two research-grade portable personal exposure monitors. Personal microenvironments (MEs) were determined by applying an algorithm to the handheld GPS unit data. On average, the participants spent the most time indoors (79% in Residence and 16% in Workplace), and much less time travelling by Walking, Cycling, Bus and Metro. Similar patterns were observed across participant gender and body-mass index classifications. The participants were exposed to 33.8 ± 27.8 μg m−3 PM2.5 and to 1.9 ± 1.2 μg m−3 BC over the 24-h monitoring period, on average 24.3 μg m−3 (42%) and 0.8 μg m−3 (28%) lower, respectively, than the concurrent fixed-site ambient measurements. Relative differences between personal and ambient BC concentrations showed greater variability across the MEs, highlighting significant contributions from Dining and travelling by Bus, which involve potential combustion of fuels. This study demonstrates the potential value of personal exposure monitoring in investigating air pollution related health effects, and in evaluating the effectiveness of pollution control and intervention measures.

Keywords

Personal exposure
PM2.5
Black carbon
Personal monitoring
Portable monitor
Beijing

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