Abstract #301784

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JSM 2002 Abstract #301784
Activity Number: 353
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics & the Environment*
Abstract - #301784
Title: Measurement Error Models in Chemical Mass Balance Analysis of Pollution Data
Author(s): William Christensen*+ and Richard Gunst
Affiliation(s): Southern Methodist University and Southern Methodist University
Address: P.O. Box 750332, Dallas, Texas, 75275-0332, USA
Keywords: Receptor model ; Chemical mass balance model ; Effective-variance weighting
Abstract:

The chemical mass balance (CMB) equations have been used to apportion observed pollutant concentrations to their various pollution sources. Typical analyses incorporate estimated pollution source profiles, estimated source profile error variances, and error variances associated with the ambient measurement process. Often the CMB model is fit to the data using a weighted least squares algorithm to obtain the effective variance solution. We consider the chemical mass balance model within the framework of the traditional measurement error model (e.g., Fuller, 1987) and compare source contribution estimators with the effective variance estimator.

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Revised March 2002