[Retracted] Human Health Risk Prediction Method of Regional Atmospheric Environmental Pollution Sources Based on PMF and PCA Analysis under Artificial Intelligence Cloud Model

Table 2

PCA analysis results of extended data under various extended simulated receptor component spectra.

		Principalcomponent 1	Principalcomponent 1	Principalcomponent 1	Principalcomponent 1	Principalcomponent 1	Principalcomponent 1	Principalcomponent 1	Cumulativevariance	Extract commonfactor variance
2	Characteristic root	5.1	3.5	3.7	1.3	1.4	1.2	1.1	—	0.710∼0.972
	Explain variance	24.1	16.5	17.4	6.1	6.8	5.6	5.1	81.6
3	Characteristic root	5.4	3.4	3.3	1.3	1.3	1.3	1.1	—	0.726∼0.972
	Explain variance	25.5	16.0	15.9	6.3	6.2	6.3	5.0	81.3
4	Characteristic root	5.6	3.4	3.0	1.4	1.3	1.3	1.0	—	0.714∼0.974
	Explain variance	26.7	16.2	14.5	6.4	6.4	6.2	4.9	81.4
6	Characteristic root	5.4	3.4	3.3	1.4	1.3	1.2	1.1	—	0.715∼0.976
	Explain variance	25.6	16.2	15.7	6.7	6.1	5.8	5.1	81.3
8	Characteristic root	5.6	3.3	3.2	1.3	1.4	1.3	1.1	—	0.700∼0.982
	Explain variance	26.6	15.7	15.3	6.2	6.5	6.0	5.0	81.3
12	Characteristic root	5.5	3.3	3.2	1.3	1.4	1.3	1.1	—	0.715∼0.983
	Explain variance	26.3	15.7	15.2	6.3	6.6	6.2	5.1	81.4
24	Characteristic root	5.5	3.3	3.2	1.3	1.3	1.3	1.0	—	0.725∼0.981
	Explain variance	26.4	15.8	15.1	6.3	6.3	6.3	5.1	81.3