These metals could possibly come from the very same supply.Table 3. Spearman correlation coefficient analysis of heavy metal contents in soil. Cr Cr Mn Ni Cu Zn Cd Pb 1 -0.054 0.634 0.205 0.022 -0.152 0.027 Mn 1 -0.158 0.063 0.284 0.362 0.284 Ni Cu Zn Cd Pb1 0.189 0.101 -0.135 0.1 0.467 0.363 0.623 1 0.547 0.513 1 0.608 Note: Significant in the 0.05 level. Substantial in the 0.01 level.three.4.two. Cluster Analysis Dendrograms had been drawn to show the CA results (Figure 6), which can vividly reflect the distance among the Dimethoate Cancer components and reveal the relationship involving the components. Three clusters had been determined: Ni-Cr; Cd-Pd-Cu; Mn-Zn. Cr and Ni had been correlated with each other. Cd and Pb clustered with one another and composed another cluster with Cu. Mn and Zn have been isolated and joined for the Cd-Pd-Cu cluster. Metals belonging towards the similar cluster usually have a frequent source [49]. Cr and Ni have been regarded as to derive in the parent material of soil. Cd, Pd and Cu may possibly originate from anthropogenic sources. In accordance with the cluster evaluation, Mn and Zn have been closer to the Cd-Pd-Cu group, suggesting that they have been most likely from anthropogenic sources.Appl. Sci. 2021, 11, x FOR PEER Overview Appl. Sci. 2021, 11,12 of 18 12 ofFigure 6. Dendrogram benefits of cluster Diethyl phthalate-d10 supplier evaluation for eight heavy metals within the study area. Figure six. Dendrogram final results of cluster evaluation for eight heavy metals within the study area.3.4.3. Supply Identification by PCA three.4.3. Supply Identification by PCA The sources of heavy metal pollution in in soil were identified by PCA. The KaiserThe sources heavy metal pollution soil were identified by PCA. The Kaiser everMever lkin (0.608)(0.608) and Bartlett’s test (p 0.001) showed that the results obtained Olkin value value and Bartlett’s test (p 0.001) both each showed that the results obtained by have been feasible and affordable. As shown in Table 4 and 4 and Figure 7,components by PCA PCA were feasible and reasonable. As shown in Table Figure 7, 3 3 factorsidentified, and varimax rotation provided a factorfactor loading that corresponded had been have been identified, and varimax rotation offered a loading that corresponded towards the principal elements. Eigenvalues higher than 1 have been obtained by PCA, by PCA, for towards the principal elements. Eigenvalues greater than a single were obtainedaccountingac78.196 of 78.196 in the total counting forthe total variance. variance.Table 4. The outcome of principal component evaluation. Table 4. The outcome of principal element evaluation.Element Element Cu Cu PbPb Cd Cd Mn Mn Zn CrZn NiCr Eigenvalues Ni of variance Eigenvalues CumulativeFactor Load just after Rotation Aspect Load soon after Rotation PC1 PCPC2 PC2 -0.084 -0.084 0.326 0.326 0.564 0.564 0.839 0.839 0.831 0.831 -0.011 -0.011 0.008 1.826 0.008 26.090 1.826 52.920 26.090 52.PC3 PC3 0.309 0.309 -0.047 -0.047 -0.152 -0.152 -0.069 -0.069 0.127 0.127 0.910 0.910 0.894 1.769 0.894 25.276 1.769 78.196 25.276 78.Note: PCA loadings N 0.four are shown in bold.of variance Cumulative0.853 0.853 0.853 0.853 0.596 0.596 0.007 0.007 0.231 0.231 0.113 0.113 0.012 1.878 0.012 26.830 1.878 26.26.830 26.Note: PCA loadings N 0.four are shown in bold.Principal element 1 (PC1) explained 26.830 in the total variance. The Cu, Pb and Cd loads were larger, and Zn also had a medium load. PC1 may perhaps be the site visitors supply [12,50]. The gasoline containing Pb is a significant supply of Pb in soil, so Pb is typically employed to determine site visitors sources [51,52]. Cu may possibly come from the vehicle’s brake syste.