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Technical Papers

Assessment of heterogeneity of metal composition of fine particulate matter collected from eight U.S. counties using principal component analysis

, , , , , , & show all
Pages 773-782 | Published online: 26 Jun 2012

Figures & data

Figure 1. Map showing locations of the sampling sites and sampling periods in the United States.

Figure 1. Map showing locations of the sampling sites and sampling periods in the United States.

Table 1. Description of sampling locations

Table 2. Summary of average PM2.5 and metal concentrations at each sampling location

Figure 2. Average concentrations of selected elements for eight U.S. counties. Error bars represent standard deviations: (a) Na, (b) Ca, (c) Fe, (d) Al, (e) Zn, (f) Ti, (g) Pb, (h) Ni, (i) V, and (j) Se.

Figure 2. Average concentrations of selected elements for eight U.S. counties. Error bars represent standard deviations: (a) Na, (b) Ca, (c) Fe, (d) Al, (e) Zn, (f) Ti, (g) Pb, (h) Ni, (i) V, and (j) Se.

Table 3. Standardized rotated factor loading and communalities from PCA in PM2.5

Figure 3. Average principal component (PC) scores for eight U.S. counties. Closed circles represent average PC scores. Error bars represents standard deviations: (a) average PC score 1, (b) average PC score 2, (c) average PC score 3, (d) average PC score 4, and (e) average PC score 5.

Figure 3. Average principal component (PC) scores for eight U.S. counties. Closed circles represent average PC scores. Error bars represents standard deviations: (a) average PC score 1, (b) average PC score 2, (c) average PC score 3, (d) average PC score 4, and (e) average PC score 5.

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