title: Multilinear model for spatial pattern analysis of the Measurement of Haze and Visual Effects project.
abstract: 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.
authors.affiliation: Department of Chemistry and Center for Air Resources Engineering and Science, Clarkson University, Potsdam, New York 13699-5708, USA.
authors.forename: Wanna
authors.initials: W
authors.lastname: Chueinta
authors.forename: Philip K
authors.initials: PK
authors.lastname: Hopke
authors.forename: Pentti
authors.initials: P
authors.lastname: Paatero
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D005544:Forecasting; D016014:Linear Models; D010316:Particle Size; D011210:Power Plants; D012621:Seasons; D014481:United States; D014919:Wind
chemical_list: D000393:Air Pollutants