Abstract
The knowledge of the composition of particulate matter (PM) is important to understand toxicity, health risks, the determination of the source and the public polices due to improve health and environmental quality. The number of 1116 PM2.5 samples from 8 sites in Boston were analyzed to estimate the source apportionment using a matrix of BC, Na, Al, Si, S, Cl, K, Ca, Ti, V, Fe, Ni, Cu, Zn, Se, Cd, Ba, and Pb. Receptor model makes possible to identify the possible sources of ambient PM2.5. In addition, since the variation of PM2.5 concentrations could have also substantial differences between the locations where it measures, we consider many other factors including land cover, meteorology (in particular, wind direction and speed), and geography, as well as affecting sources. The previous result using the positive matrix factorization (PMF) identified 6 major sources: motor vehicle emissions (BC, V, Ni, Cd, Ba, Zn), regional pollution (Na, S), sea salt (Cl), road dust (Ca, Fe, Cu, Ti), crustal (Al, Si, Ca) and wood burning (K) to affect the downtown Boston. Analyzing the land cover it would be possible to classify the extent of green space, commercial building, industries, traffic density and distance from highways. In this study we will estimate the effects of land cover and PM2.5 sources on the composition and distribution of PM2.5 in Boston.
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