Impaction model for the aspiration efficiencies of aerosol samplers in moving air under orientation-averaged conditions

P. J. Tsai; J. H. Vincent; D. Mark; George Maldonado

doi:10.1080/02786829408959746

Impaction model for the aspiration efficiencies of aerosol samplers in moving air under orientation-averaged conditions

P. J. Tsai
, J. H. Vincent
, D. Mark
, George Maldonado

Environmental Health Sciences

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

This paper applies what is already known about the aspiration efficiency of blunt aerosol samplers at large angles to the interesting case of sampling under “orientation-averaged” conditions. This is particularly relevant to practical aerosol sampling in workplaces and the atmospheric environment. The resultant semiempirical model of aspiration efficiency contains a number of coefficients which are fitted by nonlinear regression to data sets for the human head and for two rotating-head inhalable aerosol samplers (a 3 L/min sampler intended for applications in workplaces and a 70 L/min sampler intended for particle sampling in the ambient atmosphere). Agreement for all three data sets (with 88, 64, and 37 records respectively) is generally good, with an overall R ²_corr of 68%. Such semiempirical models can be useful for predicting and interpreting sampler performance until practical versions of more rigorous mathematical and numerical models become available.

Original language	English (US)
Pages (from-to)	271-286
Number of pages	16
Journal	Aerosol Science and Technology
Volume	22
Issue number	3
DOIs	https://doi.org/10.1080/02786829408959746
State	Published - Jan 1 1995

Bibliographical note

Funding Information:
The work described in this paper is part of a body of work supported by the Nickel Producers Environmental Research Association (NiPERA) as part of a program of research on aerosol exposure assessment. That support is gratefully acknowledged. In addition, one of the authors (PJT) carried out this work while attending the University of Minnesota on a scholarship from the Government of the Republic of China (Taiwan), and is grateful for this support.

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title = "Impaction model for the aspiration efficiencies of aerosol samplers in moving air under orientation-averaged conditions",

abstract = "This paper applies what is already known about the aspiration efficiency of blunt aerosol samplers at large angles to the interesting case of sampling under {\textquotedblleft}orientation-averaged{\textquotedblright} conditions. This is particularly relevant to practical aerosol sampling in workplaces and the atmospheric environment. The resultant semiempirical model of aspiration efficiency contains a number of coefficients which are fitted by nonlinear regression to data sets for the human head and for two rotating-head inhalable aerosol samplers (a 3 L/min sampler intended for applications in workplaces and a 70 L/min sampler intended for particle sampling in the ambient atmosphere). Agreement for all three data sets (with 88, 64, and 37 records respectively) is generally good, with an overall R 2corr of 68\%. Such semiempirical models can be useful for predicting and interpreting sampler performance until practical versions of more rigorous mathematical and numerical models become available.",

author = "Tsai, \{P. J.\} and Vincent, \{J. H.\} and D. Mark and George Maldonado",

note = "Funding Information: The work described in this paper is part of a body of work supported by the Nickel Producers Environmental Research Association (NiPERA) as part of a program of research on aerosol exposure assessment. That support is gratefully acknowledged. In addition, one of the authors (PJT) carried out this work while attending the University of Minnesota on a scholarship from the Government of the Republic of China (Taiwan), and is grateful for this support.",

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AU - Tsai, P. J.

AU - Vincent, J. H.

AU - Mark, D.

AU - Maldonado, George

N1 - Funding Information: The work described in this paper is part of a body of work supported by the Nickel Producers Environmental Research Association (NiPERA) as part of a program of research on aerosol exposure assessment. That support is gratefully acknowledged. In addition, one of the authors (PJT) carried out this work while attending the University of Minnesota on a scholarship from the Government of the Republic of China (Taiwan), and is grateful for this support.

PY - 1995/1/1

Y1 - 1995/1/1

N2 - This paper applies what is already known about the aspiration efficiency of blunt aerosol samplers at large angles to the interesting case of sampling under “orientation-averaged” conditions. This is particularly relevant to practical aerosol sampling in workplaces and the atmospheric environment. The resultant semiempirical model of aspiration efficiency contains a number of coefficients which are fitted by nonlinear regression to data sets for the human head and for two rotating-head inhalable aerosol samplers (a 3 L/min sampler intended for applications in workplaces and a 70 L/min sampler intended for particle sampling in the ambient atmosphere). Agreement for all three data sets (with 88, 64, and 37 records respectively) is generally good, with an overall R 2corr of 68%. Such semiempirical models can be useful for predicting and interpreting sampler performance until practical versions of more rigorous mathematical and numerical models become available.

AB - This paper applies what is already known about the aspiration efficiency of blunt aerosol samplers at large angles to the interesting case of sampling under “orientation-averaged” conditions. This is particularly relevant to practical aerosol sampling in workplaces and the atmospheric environment. The resultant semiempirical model of aspiration efficiency contains a number of coefficients which are fitted by nonlinear regression to data sets for the human head and for two rotating-head inhalable aerosol samplers (a 3 L/min sampler intended for applications in workplaces and a 70 L/min sampler intended for particle sampling in the ambient atmosphere). Agreement for all three data sets (with 88, 64, and 37 records respectively) is generally good, with an overall R 2corr of 68%. Such semiempirical models can be useful for predicting and interpreting sampler performance until practical versions of more rigorous mathematical and numerical models become available.

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Impaction model for the aspiration efficiencies of aerosol samplers in moving air under orientation-averaged conditions

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