4.7 Article

Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment

Journal

SCIENTIFIC REPORTS
Volume 9, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-019-43716-3

Keywords

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Funding

  1. Next Generation of Unmanned Systems Centre for Doctoral Training - Natural Environmental Research Council [NE/L002531/1]
  2. Leverhulme Trust through the Southampton Marine and Maritime Institute
  3. BBSRC Future Leader Fellowship [BB/P011365/1]
  4. NIHR Southampton Biomedical Research Centre Senior Fellowship
  5. Engineering and Physical Sciences Research Council [EP/P004024/1]
  6. University of Southampton Public Engagement with Research unit (PERu)
  7. ADR Challenge Fund
  8. BBSRC [BB/P011365/1] Funding Source: UKRI
  9. EPSRC [EP/P004024/1] Funding Source: UKRI
  10. NERC [1942738, noc010013] Funding Source: UKRI

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Exposure to ambient particulate matter (PM) air pollution is a leading risk factor for morbidity and mortality, associated with up to 8.9 million deaths/year worldwide. Measurement of personal exposure to PM is hindered by poor spatial resolution of monitoring networks. Low-cost PM sensors may improve monitoring resolution in a cost-effective manner but there are doubts regarding data reliability. PM sensor boxes were constructed using four low-cost PM micro-sensor models. Three boxes were deployed at each of two schools in Southampton, UK, for around one year and sensor performance was analysed. Comparison of sensor readings with a nearby background station showed moderate to good correlation (0.61 < r < 0.88, p < 0.0001), but indicated that low-cost sensor performance varies with different PM sources and background concentrations, and to a lesser extent relative humidity and temperature. This may have implications for their potential use in different locations. Data also indicates that these sensors can track short-lived events of pollution, especially in conjunction with wind data. We conclude that, with appropriate consideration of potential confounding factors, low-cost PM sensors may be suitable for PM monitoring where reference-standard equipment is not available or feasible, and that they may be useful in studying spatially localised airborne PM concentrations.

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