Outdoor and indoor measurements of number particles size distributions and equivalent black carbon (EBC) at a mechanical manufacturing plant

Pavese, G.; Agresti, Francesca; Calvello, Mariarosaria; Esposito, Francesco; Lettino, Antonio

doi:10.1016/j.apr.2022.101488

Cited by 3 publications

(3 citation statements)

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“…OPS mean size distributions were calculated separately for working and nonworking days and for the cold (October-April) and hot (May-July) seasons, as shown in Figure 2. Working and nonworking days' size distributions show a similar shape over the entire dataset, with a mode at 1.56 μm which can be associated to particle resuspension due to the traffic source, as previously assessed in [54]. Working days are characterized by a slightly enhanced contribution of coarse particles, becoming more pronounced during the hot season.…”

Section: Resultssupporting

confidence: 69%

“…This is mainly caused by the biomass burning for domestic heating [53]. In general, AAE values are higher during weekends compared to working days, likely due to agricultural activities [54]. During the cold season, AAE values are slightly higher during weekends than on working days, as biomass burning for domestic heating is likely used more frequently than on weekdays due to people spending more of their time at home.…”

Section: Resultsmentioning

confidence: 99%

“…The instruments used were a TSI OPS 3330 to obtain number particle size distributions in the size range 0.3-10 μm (16 channels) and an aethalometer Magee AE33 to measure the eBC concentrations and estimate AAE. Further details on the instrumentation can be found in [54]. In addition, four experiments were performed to characterize aerosol transient emissions from some common indoor sources at the research area such as incense, electric and traditional cigarettes, and HNB products.…”

Section: Methodsmentioning

confidence: 99%

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Long-Term Characterization of Indoor Air Quality at a Research Area Building: Comparing Reference Instruments and Low-Cost Sensors

Calvello,

Agresti,

Esposito

et al. 2024

Indoor Air

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Indoor particle number size distribution (0.3-10 μm), equivalent black carbon (eBC), and Ångström absorption exponent (AAE) data were collected in real conditions, over a ten-month period at a research area building, in a semirural site, to characterize indoor aerosol loading. Additionally, during the campaign, emissions from four indoor sources commonly used at the site (incense, traditional cigarettes, electronic cigarettes, and heat-not-burn products) were studied during short-term experiments with the support of ultrafine particle (UFP) monitoring. Two particle low-cost sensors (PM LCS), Sensirion SPS30 (0.3-10 μm), were evaluated in the long-term campaign and during fast emission processes, to assess their accuracy and reliability. Penetration and infiltration of both fine and coarse particles from outdoor traffic, domestic heating, and dust resuspension were inferred as the main sources of indoor aerosols on a long-term basis. Moreover, long-range transported dust aerosols were found to influence indoor coarse number concentration. Among the source events, heat-not-burn (HNB) product resulted in the lowest effect on indoor air quality, whereas the highest AAE values from incense and traditional cigarettes suggest the brown carbon (BrC) production. The highest emission of UFP was caused by electronic cigarettes (e-cig), which spanned particles from the ultrafine to the coarse fractions. This was likely due to the release of metal and silicate from the coil. Analysis of number size distributions of the four experiments revealed the emission of fine particles (0.3-1 μm) and super micron particles. SPS30s performance was satisfactory in terms of accuracy, precision, and durability, indicating that these devices are suitable for monitoring indoor air quality. Additionally, the two PM LCS were able to detect all simulated fast emission sources.

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Section: Resultssupporting

confidence: 69%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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