Multilinear Model for Spatial Pattern Analysis of the Measurement of Haze and Visual Effects Project

A multilinear model was developed for the analysis of the
spatial patterns and possible sources affecting haze
and its visual effects in the southwestern United States.
The data from the project Measurement of Haze and Visual
Effects (MOHAVE) collected during the late winter and mid-summer of 1992 at the monitoring sites in four states
(i.e., California, Arizona, Nevada and Utah) were used in
the study. The three-way data array was analyzed by a four-product-term model. This study makes a direct effort to
include wind patterns as a component in the model in order
to obtain the information of the spatial patterns of
source contributions. The solution is computed using the
conjugate gradient algorithm with applied non-negativity
constraints. For the winter data set, reasonable solutions
contained six sources and six wind patterns. The analysis of
summer data required seven sources and seven wind
patterns. The ME results are compared to the prior single-species empirical orthogonal function analysis results
and prior work describing the transport pathways.