Downloads provided by UsageCounts
pmid: 31097728
pmc: PMC6522472
AbstractExposure 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.
particulate matter, Citizen Science, air pollution, NERC, 610, RCUK, PM2.5, BB/P011365/1, air quality, Article, EPSRC, EP/P004024/1, exposure, BBSRC, Air Pollution, low-cost sensors, Sensor Networks, NE/L002531/1
particulate matter, Citizen Science, air pollution, NERC, 610, RCUK, PM2.5, BB/P011365/1, air quality, Article, EPSRC, EP/P004024/1, exposure, BBSRC, Air Pollution, low-cost sensors, Sensor Networks, NE/L002531/1
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 205 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
| views | 20 | |
| downloads | 26 |

Views provided by UsageCounts
Downloads provided by UsageCounts