The accuracy of two- and three-way positive matrix factorization models: Applying simulated multisite data sets

Figures & data

Figure 1. The P (Pearson correlation between true and estimated daily contributions) of each site (defined as the sum of P for all the sources and TC at one site).

Figure 2. Three-dimensional heat map of AAEs (%) between true and estimated daily contributions with different site-to-site correlations of daily source contributions by PMF2-I, PMF2-T, and PMF3.

Table 1. Mean AAEs (%) of each source category at site SI and SII under different spatial variability of source profiles, estimated by PMF2-I, PMF2-T, and PMF3

		SI, for CV:					SII, for CV:
		10%	20%	30%	40%	50%	10%	20%	30%	40%	50%
PMF2-I	SDUST	4.8%	4.6%	5.1%	4.9%	4.8%	5.2%	5.0%	5.6%	5.6%	5.6%
	AMNITR	6.8%	6.5%	7.0%	6.3%	7.3%	6.8%	6.8%	7.8%	7.4%	6.4%
	LDGV	6.8%	6.2%	6.5%	6.6%	6.3%	6.7%	6.9%	9.1%	7.8%	6.6%
PMF2-T	SDUST	9.5%	19.5%	32.0%	40.3%	45.5%	12.5%	19.3%	32.9%	45.0%	50.0%
	AMNITR	12.1%	20.3%	52.8%	41.4%	62.7%	14.5%	18.8%	33.7%	44.4%	62.4%
	LDGV	12.2%	19.4%	40.1%	59.1%	51.1%	13.6%	27.6%	40.2%	52.8%	101.3%
PMF3	SDUST	16.9%	24.4%	35.8%	41.5%	40.4%	17.4%	23.3%	35.5%	46.5%	45.4%
	AMNITR	17.2%	26.9%	39.7%	40.2%	48.9%	15.0%	28.7%	44.8%	49.7%	47.1%
	LDGV	21.6%	35.6%	33.0%	48.2%	30.1%	21.9%	38.9%	40.7%	43.1%	40.0%

Figure 3. Normalized simulated and estimated source profiles of SDUST for site SI and SII by PMF2-I, PMF2-T, and PMF3.