New Directions: TEOMs and the volatility of UK non-urban PM10: a regulatory dilemma

King, Andrew; Pless‐Mulloli, Tanja; Merefield, J. R.; Stone, Ian

doi:10.1016/s1352-2310(00)00154-0

Cited by 13 publications

(5 citation statements)

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“…It is a US EPA equivalent method providing PM 10 or PM 2.5 mass concentrations with a flow rate of 16.7 l min −1 [29]. TEOM is widely used in different aerosol studies [30][31][32]: it has a high accuracy with ±1.5 g m −3 and high resolution with 0.1 g m −3 . However, TEOM records slightly lower concentration values than those determined by reference samplers due to the heated inlet.…”

Section: Pm 10 Mass Concentrationmentioning

confidence: 99%

Organic carbon and elemental carbon associated with PM10 in Beijing during spring time

Zhang

Cao

et al. 2009

Journal of Hazardous Materials

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Section: Pm 10 Mass Concentrationmentioning

confidence: 99%

Organic carbon and elemental carbon associated with PM10 in Beijing during spring time

Zhang

Cao

et al. 2009

Journal of Hazardous Materials

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“…10 Data from collocated TEOM and gravimetric PM 10 samplers in a coal-mining region in the United Kingdom found that the discrepancy between the methods (TEOM Ͻ gravimetric) increased with increasing concentration. 11 Finally, a study of the effect of equilibrium temperature on PM 10 concentrations in the Lower Fraser Valley showed that the volatilization of particulate semivolatile material is greater at higher equilibrium temperatures. 12 One common theme to these research reports is that because of volatilization of PM, the TEOM systematically measures a lower concentration compared with gravimetric filter-based methods.…”

Section: Rizzo Scheff and Kaldymentioning

confidence: 99%

Adjusting Tapered Element Oscillating Microbalance Data for Comparison with Federal Reference Method PM_2.5 Measurements in Region 5

Rizzo

Scheff

Kaldy

2003

Journal of the Air & Waste Management Association

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Continuous monitoring of particulate matter (PM) with a diameter less than 2.5 m (PM 2.5 ) is quickly gaining acceptance as an alternative means of measuring fine PM in the United States. For this project, data were taken from all monitoring sites within Region 5 that used the tapered element oscillating microbalance (TEOM) for PM 2.5 and had a collocated Federal Reference Method (FRM) monitor. Scatter plots of TEOM versus FRM show that for a significant fraction of the observations, an independent factor causes the TEOM to underestimate the FRM value. This underestimation appears to increase as temperature decreases. For this analysis, a linear relationship was fit to the TEOM versus FRM data, allowing a break or knot in the relationship, modeled as a change of slope, at a sitespecific temperature. To test whether the models are adequate for adjusting future measurements, models were also developed using the first year of data only, and the remaining observations were used to test the durability of the relationships. For all but one monitor in Minnesota, the models developed for each site had consistently high R 2 s, were predictive of future measurements, and could be used to derive "FRM-like" results from the TEOM measurements. The temperature knots fitted by the model for individual sites ranged from 12.9 to 20.6°C. Data from all six sites in the state of Michigan were also combined to determine if a single model could be developed for the entire state. While the single model for the state of Michigan worked reasonably well, some of the predicted concentrations at individual sites were systematically underestimating the observed concentrations on more polluted days. The same conclusion was drawn for a Region 5-wide model. This approach was also found to work very well for six individual TEOM monitors in New York State.

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“…nitrates and organics). For these reasons, a number of studies in the last years have been devoted to the assessment of TEOM performance versus standard gravimetric methods for PM10 and, in a limited number of cases, for PM2.5 monitoring (Reponen et al, 1996;Allen et al, 1997;Soutar et al, 1999;King et al, 2000;Muir, 2000;Cyrys et al, 2001). In the past, it was suggested to apply a default correction factor of 1.3 to PM10 data collected by TEOM (DETR, 1999).…”

Section: Introductionmentioning

confidence: 99%

Elemental characterization of PM10, PM2.5 and PM1 in the town of Genoa (Italy)

Ariola

D’Alessandro

Lucarelli³

et al. 2006

Chemosphere

102

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The particulate matter (PM) concentration and composition, the PM10, PM2.5, PM1 fractions, were studied in the urban area of Genoa, a coastal town in the northwest of Italy. Two instruments, the continuous monitor TEOM and the sequential sampler PARTISOL, were operated almost continuously on the same site from July 2001 to September 2004. Samples collected by PARTISOL were weighted to obtain PM concentration and then analysed by PIXE (particle induced X-ray emission) and by ED-XRF (energy dispersion X-ray fluorescence), obtaining concentrations for elements from Na to Pb. Some of the filters used in the TEOM microbalance were analysed by ED-XRF to calculate Pb concentration values averaged over 7-30 d periods.

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New Directions: TEOMs and the volatility of UK non-urban PM10: a regulatory dilemma

Cited by 13 publications

References 0 publications

Organic carbon and elemental carbon associated with PM10 in Beijing during spring time

Organic carbon and elemental carbon associated with PM10 in Beijing during spring time

Adjusting Tapered Element Oscillating Microbalance Data for Comparison with Federal Reference Method PM_2.5 Measurements in Region 5

Elemental characterization of PM10, PM2.5 and PM1 in the town of Genoa (Italy)

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New Directions: TEOMs and the volatility of UK non-urban PM10: a regulatory dilemma

Cited by 13 publications

References 0 publications

Organic carbon and elemental carbon associated with PM10 in Beijing during spring time

Organic carbon and elemental carbon associated with PM10 in Beijing during spring time

Adjusting Tapered Element Oscillating Microbalance Data for Comparison with Federal Reference Method PM2.5 Measurements in Region 5

Elemental characterization of PM10, PM2.5 and PM1 in the town of Genoa (Italy)

Contact Info

Product

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Adjusting Tapered Element Oscillating Microbalance Data for Comparison with Federal Reference Method PM_2.5 Measurements in Region 5