A closure study of extinction apportionment by multiple regression

Multiple regression has been widely used to apportion particle light scattering among distinct chemical species. The resulting scattering budgets are shown here to be unbiased estimates under certain theoretical conditions. The theory allows species’ particle size distributions and water uptakes to...

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Bibliographic Details
Published in:Atmospheric environment (1994) 2001, Vol.35 (1), p.151-158
Main Authors: de P. Vasconcelos, L.A., Macias, E.S., McMurry, P.H., Turpin, B.J., White, W.H.
Format: Article
Language:English
Subjects:
Aerosols
Applied sciences
Atmospheric pollution
Earth, ocean, space
Estimation
Exact sciences and technology
External geophysics
Meteorology
Particles and aerosols
Pollutants physicochemistry study: properties, effects, reactions, transport and distribution
Pollution
Radiative forcing
Scattering efficiency
Southern California Air Quality Study (SCAQS)
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Summary:Multiple regression has been widely used to apportion particle light scattering among distinct chemical species. The resulting scattering budgets are shown here to be unbiased estimates under certain theoretical conditions. The theory allows species’ particle size distributions and water uptakes to vary from sample to sample, as they are known to do in reality. The sole constraint is that variations in each species’ characteristics be statistically independent of all species’ concentrations. Individual violations of this condition cause identifiable biases, and multiple violations can offset each other to yield regression estimates that are accurate by accident. Detailed and summary accountings of statistical errors are illustrated using a mechanistic model derived from measurements in southern California.
ISSN:1352-2310
1873-2844
DOI:10.1016/S1352-2310(00)00273-9