| A general methodology is proposed for analyzing air quality problems as spatial relationships through the use of computer-assisted cartographic modeling techniques. Geographically oriented data are stored, manipulated, and analyzed in the form of computer maps. An empirical air pollutant dispersion model is developed as a spatial relationship in an intrinsically linear form. The cartographic analyses system is interfaced with a statistical data management package (SAS, 1979) and the model is parameterized by a multiple regression optimization technique. The methodology is applied to the analyses of heavy metal particulates surrounding a lead/zinc smelter in a mountain valley location. Emissions dispersed from over one-hundred sources are simultaneously analyzed over two-hundred days of lead, cadmium, and total suspended particulate data. Industrial point sources and fugitive emissions from the metals industry, roads, and dust reentrained by the wind are considered. Non-homogeneity associated with complex terrain and inconstant source behavior is addressed in the model formulation. The effect of reentrained fugitive dusts on the attainment of the National Ambient Air Quality Standard for Lead is quantified and presented graphically. The potential utilization of the methodology in academic and regulatory practice is discussed. |
