On the equivalence of gravimetric PM data with TEOM and beta-attenuation measurements

Hauck, H; Berner, A.; Gomišček, Boštjan; Stopper, Silke; Puxbaum, Hans; Kundi, Michael; Preining, O.

doi:10.1016/j.jaerosci.2004.04.004

Cited by 106 publications

(59 citation statements)

References 12 publications

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“…On the other hand, calibration, temperature and humidity issues can create artefacts for β-attenuation monitoring that has to be taken into account (e.g. Allen et al, 1997;Hauck et al, 2004). Demonstration that other methods than gravimetric yield results equivalent to the reference (EC, 2010) is needed.…”

Section: Air Quality Observations and Pm Emission Sourcesmentioning

confidence: 99%

Analyses of urban and rural particulate matter mass concentrations in Croatia in the period 2006-2014

et al. 2016

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Air pollution due to particulate matter with an aerodynamic diameter ≤ 10 mm (PM 10 ) and diameter ≤ 2.5 mm (PM 2.5 ) was investigated using available measurements in Croatia. Hourly and daily PM 10 and PM 2.5 mass concentrations were analysed for urban and rural background stations. Urban and industrial PM 10 measurements from 2006 to 2014 and rural background PM 10 and PM 2.5 measurements from 2011 to 2014 were used to determine the main characteristics of regional and local air pollution related to particles and to assess the level of air pollution according to the defined limit values (CAFÉ Directive 2008/50/EC). Significant difference between coastal and continental urban and rural PM 10 levels was found with high PM 10 concentrations in continental areas and considerably lower PM 10 values at the coast. Substantially different spatial distribution of rural background PM concentrations with relatively high annual average concentration ~ 30 mg/m 3 at e.g. continental station Kopački rit, to only ~ 5 mg/m 3 at Hum located on the island of Vis was found. Strong spatial PM gradients from the continent towards the coast are resulting from the distinct differences in climatological characteristics between Croatia's inlands and the coastline and different physical processes affecting the PM concentrations in the two regions (e.g. sea breeze, deposition, wet removal, resuspension). Furthermore, distinct complex chemical mechanisms that depend on emission rate and PM composition and on meteorological parameters (sun radiation, humidity etc.) have different influence on the formation of secondary organic aerosol in marine and continental boundary layer. Ratio between rural PM 2.5 and PM 10 mass concentrations (PM 2.5 / PM 10 ) for all sites was investigated and compared to the results obtained in other European studies. Rural site-specific PM 2.5 / PM 10 ratios ranged from 0.6 to 0.9 during the warmer part of the year while during the colder part of the year ratios were higher and ranged from 0.85 to 0.98. The spatial gradient of rural PM 2.5 / PM 10 values is orientated from the coast to the continent implying that at the coast the PM concentrations are mainly composed of fine particles. with the corresponding PM concentrations and an initial source identification was conducted based on bivariate polar plots.

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Section: Air Quality Observations and Pm Emission Sourcesmentioning

confidence: 99%

Analyses of urban and rural particulate matter mass concentrations in Croatia in the period 2006-2014

et al. 2016

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“…A number of recent papers have described the hardware and operation of the beta gauge 13 and presented evaluations and data comparisons for various versions of this instrument. 12,20,22,23 A number of BAMs have been designated as automated equivalent methods for the measurement of PM 10 by EPA; 24 California has designated the BAM as an equivalent method for PM 2.5 20 . The BAM used in this work was Model 1020 produced by Met One Instruments (Grants Pass, OR).…”

Section: Bammentioning

confidence: 99%

“…There are both positive and negative artifacts associated with this method, and a number of papers have addressed these issues and the issues of comparability of this method with the FRM. 2,7,8,22,23 The TEOM monitor has been designated an "automated equivalent method" for the measurement of PM 10 by EPA. 24 …”

Section: Teommentioning

confidence: 99%

New York State Urban and Rural Measurements of Continuous PM_2.5 Mass by FDMS, TEOM, and BAM

Schwab

Felton

Rattigan

et al. 2006

Journal of the Air & Waste Management Association

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Field evaluations and comparisons of continuous fine particulate matter (PM 2.5 ) mass measurement technologies at an urban and a rural site in New York state are performed. The continuous measurement technologies include the filter dynamics measurement system (FDMS) tapered element oscillating microbalance (TEOM) monitor, the stand-alone TEOM monitor (without the FDMS), and the beta attenuation monitor (BAM). These continuous measurement methods are also compared with 24-hr integrated filters collected and analyzed under the Federal Reference Method (FRM) protocol. The measurement sites are New York City (the borough of Queens) and Addison, a rural area of southwestern New York state. New York City data comparisons between the FDMS TEOM, BAM, and FRM are examined for bias and seasonality during a 2-yr period. Data comparisons for the FDMS TEOM and FRM from the Addison location are examined for the same 2-yr period. The BAM and FDMS measurements at Queens are highly correlated with each other and the FRM. The BAM and FDMS are very similar to each other in magnitude, and both are ϳ25% higher than the FRM filter measurements at this site. The FDMS at Addison measures ϳ9% more mass than the FRM. Mass reconstructions using the speciation trends network filter data are examined to provide insight as to the contribution of volatile species of PM 2.5 in the FDMS mass measurement and the fraction that is likely lost in the FRM mass measurement. The reconstructed mass at Queens is systematically lower than the FDMS by ϳ10%. INTRODUCTIONAs part of U.S. Environmental Protection Agency (EPA)-sponsored Particulate Matter Technology Assessment and Characterization Study-New York (PMTACS-NY) Supersite Program, the New York State Department of Environmental Conservation (NYSDEC) and the Atmospheric Sciences Research Center (ASRC) at the University at Albany have collaboratively operated urban and rural measurement sites with collocated filter dynamics measurement system (FDMS) tapered element oscillating microbalance (TEOM) monitors, standard TEOM monitors, beta attenuation monitors (BAMs), and Federal Reference Method (FRM) samplers for the past several years. Part of the research design, and a major program goal of the PMTACS-NY program, includes the evaluation of emerging instrumentation and technology transfer from the research arena to routine application. These new instruments are operated and evaluated by a mixture of university and state agency staff with the expectation that the final commercial version of each instrument will be reliable and

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“…It could be possible that the PM 2.5 concentrations by GMM be higher than BAM with an inlet heater. With high nitrate concentrations and low temperature case, nitrate was volatilized from the heated inlet for BAM and, thus, showed lower concentration (Hauck et al, 2004). However, this result could support the fact that PM 10 concentration by BAM being higher than GMM at Gosan.…”

Section: Introductionmentioning

confidence: 85%

Analysis of the Measurement Difference for the PM10 Concentrations between Beta-ray Absorption and Gravimetric Methods at Gosan

Shin

Jung

Kim

2011

Aerosol Air Qual. Res.

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The measured mass concentrations of particulate matter less than 10 μm in diameter (PM 10 ) by β-ray absorption method (BAM) and gravimetric method (GMM) at Gosan, Republic of Korea have shown consistent difference. By using a gas/particle equilibrium model, positive error by the absorption of water at the filter in BAM during the measurements were quantified. The positive error occupied about 50% of the measurement difference. The contributions from the volatilization of ionic species to the difference were minor. However, this estimated water content difference could fully explain the concentration difference by the two methods. Multiple regression analysis was applied to the PM 10 mass concentration to find out the major factors that affected the concentration difference. Relative humidity, dust storm event and wind direction were identified as other major factors in addition to water absorption i.e., positive error. Still these

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On the equivalence of gravimetric PM data with TEOM and beta-attenuation measurements

Cited by 106 publications

References 12 publications

Analyses of urban and rural particulate matter mass concentrations in Croatia in the period 2006-2014

Analyses of urban and rural particulate matter mass concentrations in Croatia in the period 2006-2014

New York State Urban and Rural Measurements of Continuous PM_2.5 Mass by FDMS, TEOM, and BAM

Analysis of the Measurement Difference for the PM10 Concentrations between Beta-ray Absorption and Gravimetric Methods at Gosan

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On the equivalence of gravimetric PM data with TEOM and beta-attenuation measurements

Cited by 106 publications

References 12 publications

Analyses of urban and rural particulate matter mass concentrations in Croatia in the period 2006-2014

Analyses of urban and rural particulate matter mass concentrations in Croatia in the period 2006-2014

New York State Urban and Rural Measurements of Continuous PM2.5 Mass by FDMS, TEOM, and BAM

Analysis of the Measurement Difference for the PM10 Concentrations between Beta-ray Absorption and Gravimetric Methods at Gosan

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New York State Urban and Rural Measurements of Continuous PM_2.5 Mass by FDMS, TEOM, and BAM