Upon correlating diameters measured by optical particle counters and aerodynamic particle sizers

Chien, Chih-Hsiang; Theodore, Alexandros; Wu, Chang‐Yu; Hsu, Yu-Mei; Birky, Brian K.

doi:10.1016/j.jaerosci.2016.05.011

Cited by 48 publications

(20 citation statements)

References 17 publications

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“…The scientific aim of CARE was to characterize the carbonaceous aerosol in the Mediterranean urban background area of Rome. An overview of this campaign and the first results are presented by Costabile et al (2017). In the following subsections, the application of the methodology and its results will be demonstrated and discussed.…”

Section: Measurementsmentioning

confidence: 99%

“…Deriving PM from the merged PNSDs of MPSS and APSS leads to high time resolution data of PM, which is an advantage over filter-based measurements which uses gravimetric analyses to obtain PM mass concentrations. The following paragraph briefly describes the merging process, which can be found in detail in Costabile et al (2017). First, the PNSD measured by the APSS, based on aerodynamic particle diameters (Dp,aer), was converted to a PNSD based on the volume equivalent particle diameters (Dp,voleq).…”

Section: Merging Of Mpss and Apss Particle Number Size Distributionsmentioning

confidence: 99%

“…However, real word scenarios involve particles with varying optical properties which can result to erroneous sizing for the OPSS. Studies (Chien et al, 2016;Rosenberg et al, 2012;Binnig et al, 2007) have suggested ways to improve OPSS data through different calibration and post-processing techniques, mainly to relate optical diameter to aerodynamic diameter, the latter being the more relevant for health studies. However, to calculate mass concentrations of PM, especially for PM2.5, the optical diameter has to be related to the volume equivalent diameter and not aerodynamic.…”

Section: Introductionmentioning

confidence: 99%

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Methodology for High Quality Mobile Measurement with Focus on Black Carbon and Particle Mass Concentrations

Alas¹,

Weinhold²,

Costabile³

et al. 2019

Preprint

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Abstract. Measurements of air pollutants such as black carbon (BC) and particle mass concentration in general, using mobile platforms equipped with high time-resolution instruments have gained popularity over the last decade due to its wide range of applicability. Assuring the quality of mobile measurement, data has become more essential particularly, when the personal exposure to pollutants is related to its spatial distribution. In the following, we suggest a methodology to achieve data from mobile measurements of equivalent black carbon (eBC) and PM2.5 mass concentrations with high data quality. Besides frequent routine quality assurance measures of the instruments, the methodology includes the following steps. a) Measures to ensure the quality of mobile instruments through repeated collocated measurements using identical instrumentation, b) inclusion of a fixed station along the route containing quality-assured reference instruments and c) sufficiently long and frequent intercomparisons between the mobile and reference instruments to correct the particle number and mass size distributions obtained from mobile measurements. The application of the methodology can provide following results. First, collocated mobile measurements with sets of identical instruments allow identification of undetected malfunctions of the instruments. Second, frequent intercomparisons against the reference instruments will ensure the quality of the mobile measurement data of the eBC mass concentration. Third, the intercomparison data between the mobile optical particle size spectrometer (OPSS) and a reference mobility particle size spectrometer (MPSS) allows for the adjustment of the OPSS particle number size distribution using physical meaningful corrections. Matching the OPSS and MPSS volume particle size distributions is crucial for the determination of PM2.5 mass concentration. Using size-resolved complex refractive indices and time-resolved fine mode volume correction factors of the fine particle range, the calculated PM2.5 was within 5 % of the reference instruments (MPSS+APSS). However, due to the non-sphericity and an unknown imaginary part of the complex refractive index of supermicrometer particles, a conversion to a volume equivalent diameter yields high uncertainties of the particle mass concentration greater than PM2.5. The proposed methodology addresses issues regarding the quality of mobile measurements, especially for health impact studies, validation of modelled spatial distribution, and development of air pollution mitigation strategies.

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Section: Measurementsmentioning

confidence: 99%

Section: Merging Of Mpss and Apss Particle Number Size Distributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Methodology for High Quality Mobile Measurement with Focus on Black Carbon and Particle Mass Concentrations

Alas¹,

Weinhold²,

Costabile³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Optical particle counters pass an aerosol through a laser beam to measure the degree of light scattering, which varies according to the mass concentration, size, shape, and composition of its particles . They are calibrated using test dust with known properties, commonly solid, spherical, and non‐absorptive polystyrene latex spheres with a defined distribution of diameters . If the physical or optical properties of the measured particles differ from those of the test dust, the mass concentrations reported by the OPC must be corrected .…”

Section: Methodsmentioning

confidence: 99%

“…46 They are calibrated using test dust with known properties, commonly solid, spherical, and non-absorptive polystyrene latex spheres with a defined distribution of diameters. 47 If the physical or optical properties of the measured particles differ from those of the test dust, the mass concentrations reported by the OPC must be corrected. 18 The correction is made by multiplying a measured concentration by a calibration factor.…”

Section: Pm 25 Measurement Equipmentmentioning

confidence: 99%

Investigating measurements of fine particle ( PM _2.5 ) emissions from the cooking of meals and mitigating exposure using a cooker hood

et al. 2019

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There is growing awareness that indoor exposure to particulate matter with diameter ≤ 2.5 μm (PM2.5) is associated with an increased risk of adverse health effects. Cooking is a key indoor source of PM2.5 and an activity conducted daily in most homes. Population scale models can predict occupant exposures to PM2.5, but these predictions are sensitive to the emission rates used. Reported emission rates are highly variable and are typically for the cooking of single ingredients and not full meals. Accordingly, there is a need to assess PM2.5 emissions from the cooking of complete meals. Mean PM2.5 emission rates and source strengths were measured for four complete meals. Temporal PM2.5 concentrations and particle size distributions were recorded using an optical particle counter (OPC), and gravimetric sampling was used to determine calibration factors. Mean emission rates and source strengths varied between 0.54—3.7 mg/min and 15—68 mg, respectively, with 95% confidence. Using a cooker hood (apparent capture efficiency > 90%) and frying in non‐stick pans were found to significantly reduce emissions. OPC calibration factors varied between 1.5 and 5.0 showing that a single value cannot be used for all meals and that gravimetric sampling is necessary when measuring PM2.5 concentrations in kitchens.

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Light Backscattering by Atmospheric Particles: From Laboratory to Field Experiments

Miffre

2022

Springer Series in Light Scattering

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Upon correlating diameters measured by optical particle counters and aerodynamic particle sizers

Cited by 48 publications

References 17 publications

Methodology for High Quality Mobile Measurement with Focus on Black Carbon and Particle Mass Concentrations

Methodology for High Quality Mobile Measurement with Focus on Black Carbon and Particle Mass Concentrations

Investigating measurements of fine particle ( PM _2.5 ) emissions from the cooking of meals and mitigating exposure using a cooker hood

Light Backscattering by Atmospheric Particles: From Laboratory to Field Experiments

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Upon correlating diameters measured by optical particle counters and aerodynamic particle sizers

Cited by 48 publications

References 17 publications

Methodology for High Quality Mobile Measurement with Focus on Black Carbon and Particle Mass Concentrations

Methodology for High Quality Mobile Measurement with Focus on Black Carbon and Particle Mass Concentrations

Investigating measurements of fine particle ( PM 2.5 ) emissions from the cooking of meals and mitigating exposure using a cooker hood

Light Backscattering by Atmospheric Particles: From Laboratory to Field Experiments

Contact Info

Product

Resources

About

Investigating measurements of fine particle ( PM _2.5 ) emissions from the cooking of meals and mitigating exposure using a cooker hood