TY - JOUR

T1 - Monitoring excess exposure to air pollution for professional drivers in London using low-cost sensors

AU - Frederickson, Louise Bøge

AU - Lim, Shanon

AU - Russell, Hugo Savill

AU - Kwiatkowski, Szymon

AU - Bonomaully, James

AU - Schmidt, Johan Albrecht

AU - Hertel, Ole

AU - Mudway, Ian

AU - Barratt, Benjamin

AU - Johnson, Matthew Stanley

PY - 2020/7/1

Y1 - 2020/7/1

N2 - In this pilot study, low-cost air pollution sensor nodes were fitted in waste removal trucks, hospital vans and taxis to record drivers' exposure to air pollution in Central London. Particulate matter (PM2.5 and PM10), CO2, NO2, temperature and humidity were recorded in real-time with nodes containing low-cost sensors, an electrochemical gas sensor for NO2, an optical particle counter for PM2.5 and PM10 and a non-dispersive infrared (NDIR) sensor for CO2, temperature and relative humidity. An intervention using a pollution filter to trap PM and NO2 was also evaluated. The measurements were compared with urban background and roadside monitoring stations at Honor Oak Park and Marylebone Road, respectively. The vehicle records show PM and NO2 concentrations similar to Marylebone Road and a higher NO2-to-PM ratio than at Honor Oak Park. Drivers are exposed to elevated pollution levels relative to Honor Oak Park: 1.72 μg m-3, 1.92 μg m-3 and 58.38 ppb for PM2.5, PM10, and NO2, respectively. The CO2 levels ranged from 410 to over 4000 ppm. There is a significant difference in average concentrations of PM2.5 and PM10 between the vehicle types and a non-significant difference in the average concentrations measured with and without the pollution filter within the sectors. In conclusion, drivers face elevated air pollution exposure as part of their jobs.

AB - In this pilot study, low-cost air pollution sensor nodes were fitted in waste removal trucks, hospital vans and taxis to record drivers' exposure to air pollution in Central London. Particulate matter (PM2.5 and PM10), CO2, NO2, temperature and humidity were recorded in real-time with nodes containing low-cost sensors, an electrochemical gas sensor for NO2, an optical particle counter for PM2.5 and PM10 and a non-dispersive infrared (NDIR) sensor for CO2, temperature and relative humidity. An intervention using a pollution filter to trap PM and NO2 was also evaluated. The measurements were compared with urban background and roadside monitoring stations at Honor Oak Park and Marylebone Road, respectively. The vehicle records show PM and NO2 concentrations similar to Marylebone Road and a higher NO2-to-PM ratio than at Honor Oak Park. Drivers are exposed to elevated pollution levels relative to Honor Oak Park: 1.72 μg m-3, 1.92 μg m-3 and 58.38 ppb for PM2.5, PM10, and NO2, respectively. The CO2 levels ranged from 410 to over 4000 ppm. There is a significant difference in average concentrations of PM2.5 and PM10 between the vehicle types and a non-significant difference in the average concentrations measured with and without the pollution filter within the sectors. In conclusion, drivers face elevated air pollution exposure as part of their jobs.

KW - In-cabin air pollution

KW - Low-cost sensors

KW - Mobile sensing

KW - Personal exposure

KW - Workplace exposure

U2 - 10.3390/atmos11070749

DO - 10.3390/atmos11070749

M3 - Journal article

AN - SCOPUS:85088113079

VL - 11

JO - Atmosphere

JF - Atmosphere

SN - 2073-4433

IS - 7

M1 - 749

ER -