Literature DB >> 28558284

Characterization of PM2.5 exposure concentration in transport microenvironments using portable monitors.

Zhiyuan Li1, Wenwei Che2, H Christopher Frey3, Alexis K H Lau4, Changqing Lin5.   

Abstract

Recently, portable monitors have been increasingly used to quantify air pollutant concentrations at high spatiotemporal resolution. A sampling campaign was conducted to measure the fine particulate matter (PM2.5) and carbon monoxide (CO) exposure concentrations in transport microenvironments (TMEs) in Hong Kong in January and June 2015 using TSI DustTrak and Q-Trak portable monitors. The objectives were to: (1) calibrate DustTrak and Q-Trak; (2) evaluate variability between seasons and microenvironments; (3) estimate indoor/outdoor relationships; and (4) determine minimum sample size. Calibration equations, obtained through side-by-side measurement against stationary reference methods in winter and summer, were applied to correct the measured PM2.5 data set. In general, PM2.5 concentrations in all TMEs were significantly higher in winter than in summer. The mean PM2.5 concentration in winter was lower for underground sections of the Mass Transit Railway (MTR) metro system (31 μg/m3) than for other TMEs, whereas in summer TMEs had mean PM2.5 concentrations in the range of 10-15 μg/m3, with above-ground MTR train as an exception, at 23 μg/m3. PM2.5 concentrations measured in TMEs were strongly correlated with nearby air quality monitoring stations (AQMSs) measurements in winter, but in summer there was little correlation. The minimum sample size estimates varied more among TMEs in summer versus winter because of the differences in PM2.5 concentration distributions related to changes in ambient PM2.5 concentrations and ventilation practices. This study provides a feasible protocol on the calibration and application of portable monitors in TME air quality measurement and develops a method for estimating minimum sample size.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Hong Kong; Minimum sample size; PM(2.5); Portable monitors; Transport microenvironments

Mesh:

Substances:

Year:  2017        PMID: 28558284     DOI: 10.1016/j.envpol.2017.05.039

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  4 in total

1.  The value of using seasonality and meteorological variables to model intra-urban PM2.5 variation.

Authors:  Hector A Olvera Alvarez; Orrin B Myers; Margaret Weigel; Rodrigo X Armijos
Journal:  Atmos Environ (1994)       Date:  2018-03-08       Impact factor: 4.798

2.  Characterization of Urban Subway Microenvironment Exposure- A Case of Nanjing in China.

Authors:  Peng Mao; Jie Li; Lilin Xiong; Rubing Wang; Xiang Wang; Yongtao Tan; Hongyang Li
Journal:  Int J Environ Res Public Health       Date:  2019-02-20       Impact factor: 3.390

3.  Air Pollution Monitoring for Health Research and Patient Care. An Official American Thoracic Society Workshop Report.

Authors:  Kevin R Cromar; Bryan N Duncan; Alena Bartonova; Kristen Benedict; Michael Brauer; Rima Habre; Gayle S W Hagler; John A Haynes; Sean Khan; Vasu Kilaru; Yang Liu; Steven Pawson; David B Peden; Jennifer K Quint; Mary B Rice; Erika N Sasser; Edmund Seto; Susan L Stone; George D Thurston; John Volckens
Journal:  Ann Am Thorac Soc       Date:  2019-10

4.  STHAM: an agent based model for simulating human exposure across high resolution spatiotemporal domains.

Authors:  Albert M Lund; Ramkiran Gouripeddi; Julio C Facelli
Journal:  J Expo Sci Environ Epidemiol       Date:  2020-03-09       Impact factor: 5.563

  4 in total

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