Abstract
Abstract. Measurement and source apportionment of atmospheric pollutants are crucial for the assessment of air quality and the implementation of policies for their improvement. In most cases, such measurements use expensive regulatory-grade instruments, which makes it difficult to achieve wide spatial coverage. Low-cost sensors may provide a more affordable alternative, but their capability and reliability in separating distinct sources of particles have not been tested extensively yet. The present study examines the ability of a low-cost optical particle counter (OPC) to identify the sources of particles and conditions that affect particle concentrations at an urban background site in Birmingham, UK. To help evaluate the results, the same analysis is performed on data from a regulatory-grade instrument (SMPS, scanning mobility particle sizer) and compared to the outcomes from the OPC analysis. The analysis of the low-cost sensor data manages to separate periods and atmospheric conditions according to the level of pollution at the site. It also successfully identifies a number of sources for the observed particles, which were also identified using the regulatory-grade instruments. The low-cost sensor, due to the particle size range measured (0.35 to 40 µm), performed rather well in differentiating sources of particles with sizes greater than 1 µm, though its ability to distinguish their diurnal variation, as well as to separate sources of smaller particles, at the site was limited. The current level of source identification demonstrated makes the technique useful for background site studies, where larger particles with smaller temporal variations are of significant importance. This study highlights the current capability of low-cost sensors in source identification and differentiation using clustering approaches. Future directions towards particulate matter source apportionment using low-cost OPCs are highlighted.
Highlights
Particulate matter (PM) plays a dominant role in air quality and is known to cause adverse health effects (Dockery et al, 1993; Pascal et al, 2013; Wu et al, 2016; Zeger et al, 2008)
The main sources of NO2 and black carbon (BC) as well as the smaller-sized PM are associated with easterly winds
For the PM10, apart from the aforementioned, increased concentrations are found with southwestern winds likely associated with marine sources
Summary
Particulate matter (PM) plays a dominant role in air quality and is known to cause adverse health effects (Dockery et al, 1993; Pascal et al, 2013; Wu et al, 2016; Zeger et al, 2008). Bousiotis et al.: Assessing the sources of particles using low-cost sensors measurements of the concentrations of PM, typically alongside PM composition, in the area of study are conducted Until recent years these measurements were typically made using regulatory-grade instruments which, while providing high quality data, are rather expensive, thereby limiting the number that could be deployed and the spatial resolution of any measurement network. This increases the spatial interpolation uncertainty (Kanaroglou et al, 2005) and can result in inadequate connection between the levels of air pollution exposures and resulting health effects (Holstius et al, 2014), especially in complex urban environments (Harrison, 2017; Mueller et al, 2016). Many lowand middle-income countries are unable to invest the large economic assets currently required for source apportionment, even though in many of these countries the air quality is poor (Ghosh and Parida, 2015; Kan et al, 2009; Petkova et al, 2013; Pope et al, 2018; Singh et al, 2020)
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