Comparison Between Light Scattering and Gravimetric Devices for Sampling PM10 Mass Concentration in Livestock Houses

2012 ◽  
Author(s):  
María Cambra-López ◽  
Albert Winkel ◽  
Julio Mosquera ◽  
Nico W. M Ogink ◽  
André J. A Aarnink
2015 ◽  
Vol 111 ◽  
pp. 20-27 ◽  
Author(s):  
María Cambra-López ◽  
Albert Winkel ◽  
Julio Mosquera ◽  
Nico W.M. Ogink ◽  
André J.A. Aarnink

2017 ◽  
Vol 54 (6) ◽  
pp. 402-405
Author(s):  
Hidehiro Kamiya ◽  
Mayumi Tsukada ◽  
Wladyslaw W. Szymanski ◽  
Norikazu Namiki ◽  
Masashi Wada ◽  
...  

2014 ◽  
Vol 611 ◽  
pp. 511-518
Author(s):  
Miroslav Dovica ◽  
Vladislav Maxim ◽  
Michal Kelemen ◽  
Tatiana Kelemenová ◽  
Ivan Virgala ◽  
...  

Paper deals with dust mass concentration measurement in working environment. The measurement is focused to respirable dust fraction, which is dangerous for people. Light scattering principle of dust mass concentration measurement is used for this purpose. Also cyclone as mechanical way of separation of respirable fraction can be used for this purpose. Next problem is determination of uncertainty of this measurement.


2018 ◽  
Vol 61 (2) ◽  
pp. 653-660
Author(s):  
Xufei Yang ◽  
Chen Zhang ◽  
Hong Li

Abstract. The TSI DustTrak monitor has been used for particulate matter (PM) monitoring at various animal facilities. The instrument determines PM concentrations based on the principle of light scattering. Several assumptions (e.g., particle size, refractive index, and density) are imposed during the calibration process; however, they may not apply to PM emanating from agricultural settings. In this study, PM10 monitoring was conducted at a broiler house and a layer breeding house with four collocated instruments: three DustTrak monitors and one tapered element oscillating microbalance (TEOM). Being a federal equivalent method (FEM) for PM10 monitoring, TEOM was selected here as a transfer standard for assessing the field performance of DustTrak. Results revealed a good linearity between DustTrak and TEOM PM10 readings (R2 =0.92 and 0.85 in the broiler and layer breeding houses, respectively). However, DustTrak significantly underestimated PM10 concentrations in both houses. To correct for the monitoring bias by DustTrak, an average correction factor was derived from correlation analysis that characterized the ratio of DustTrak’s PM10 response to TEOM’s. The factor was calculated as 0.267 for the broiler house and 0.244 for the layer breeding house. Mie scattering simulation was performed to further verify the derived correction factors. A factor of 0.204 was estimated from the simulation, and it accorded well with experimental results. A dependence of the correction factor on PM10 concentration was noted in both poultry houses, indicating the feasibility of developing a concentration-dependent correction factor for future monitoring efforts. Such a relationship could also be explained by Mie scattering. This study is expected to facilitate a better understanding of the limitations and perspectives of the TSI DustTrak and other light scattering PM monitors for agricultural air quality research. Keywords: DustTrak, Mass concentration, Mie scattering, PM10, Poultry, TEOM.


2005 ◽  
Vol 6 (4) ◽  
pp. 204-210 ◽  
Author(s):  
Gabriela Sanchez-Reyna ◽  
Kuo-Ying Wang ◽  
J. C. Gallardo ◽  
Dudley E. Shallcross

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