Student Seminar Series - April 27, 2005
University of Minnesota
School of Statistics
College of Liberal Arts
Improving
the Chemical Mass Balance Model
Chao-Yin Chen
Wednesday, April 27, 2005
2:00 PM, 240
Amundson Hall
Minneapolis, East Bank Campus
Refreshments at 1:30 PM
300 Ford Hall
Abstract
Particulate matter (PM) suspended in the air is a major public
health concern. Because of the importance of PM to human health, PM is
routinely monitored by environmental and health agencies of the
government. The most commonly used model for estimating source
contributions in PM is the effective variance (EV) chemical mass
balance (CMB) model. The current EV CMB model has drawbacks, including
negative estimated source contributions, problems with
multi-collinearity of source profiles and biased estimates due to
measurement errors. This dissertation introduces the air quality model
and proposes two parallel modifications to improve EV CMB: a
constrained CMB model and a Bayesian CMB model. In this talk we will
compare the proposed methods with the existing CMB models.