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- W2049580211 abstract "A new receptor model is developed to estimate percent source contribution of indoor fine particles. Under the model, the covariance matrix of the elemental concentrations has a linear structure expressed as a weighted sum of known matrices and the percent contribution of each source is given by a function of the parameters involved. Given data, the percent source contributions are estimated using the information provided by the sample covariance matrix. Our approach makes it possible to selecta a set of sources that “best” describes the variation of the data. The standard errors of the percent source contribution estimates are evaluated by employing the bootstrap method. The proposed methods is applied to indoor air pollution data collected in the Tokyo Metropolitan area. Cigarette smoke, heavy oil combustion and diesel-powered automobiles were identified as important sources for both winter and summer data." @default.
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- W2049580211 title "A new approach based on a covariance structure model to source apportionment of indoor fine particles in Tokyo" @default.
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- W2049580211 doi "https://doi.org/10.1016/1352-2310(94)90040-x" @default.
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