3.1. Concentrations of PAHs, NPAHs, and WSIIs
Table 1 summarizes the concentrations of PAHs, NPAHs, and WSIIs in Kirishima during the sampling period. The daily concentrations of ƩPAHs ranged from 0.36 to 2.90 ng/m
3, with an average of 1.32 ± 0.71 ng/m
3; this level is comparable to those from other Japanese commercial cities such as Sapporo (1.79 ng/m
3) and Sagamihara (1.83 ng/m
3) in winter 2013 [
34] and Kanazawa (1.00 ng/m
3) in winter 2018 [
35], but lower than those from other Asian cities such as Shanghai, China in winter 2018 (7.72 ng/m
3) [
30], Beijing, China in winter 2015 (264 ng/m
3) [
36], Shenyang, China in winter from 2012 to 2014 (65.7–244 ng/m
3) [
37], and Ulaanbaatar, Mongolia in winter 2017 (131–773 ng/m
3) [
38]. The daily concentrations of ƩNPAHs ranged from 2.12 to 22.3 pg/m
3, with an average of 9.98 ± 5.75 pg/m
3. The concentration level of ƩNPAHs was much lower than that of ƩPAHs in this study, which is also consistent with results from the urban cities listed above [
30,
34,
35,
36].
The daily concentrations of ƩWSIIs ranged from 1.96 to 11.4 μg/m
3, with an average of 5.74 ± 2.59 μg/m
3; this level is slightly lower than those of other cities of the same type in Japan, such as Osaka in 2015 (8.1 μg/m
3) [
39] and Yokohama from 1999 to 2005 (9.83 μg/m
3) [
40], and much lower than those of other Asian cities, such as Zhengzhou, China in 2014 (83.7 μg/m
3) [
41], Ningbo, China in 2015 (25.5 μg/m
3) [
24], Changzhou, China in 2016 (66.8 μg/m
3) [
42], and Ulaanbaatar, Mongolia in 2017 (23.2 μg/m
3) [
43]. The Spearman correlation analysis showed that there were strong positive correlations among PAHs, NPAHs, and WSIIs (
p < 0.01), indicating that there were some internal connections between these species, although the main sources of emissions of these species were not entirely the same.
3.2. Composition of PAHs, NPAHs, and WSIIs
As shown in
Table 1, FR had the highest average concentration (0.31 ± 0.20 ng/m
3) during the sampling period. The average concentrations of Pyr, BbF, BgPe, and IDP ranged from 0.16 to 0.18 ng/m
3, higher than those of the other PAHs. The average proportions of 4-, 5- and 6-ring PAHs during the sampling period accounted for approximately 47.0%, 25.7%, and 27.4% of the ƩPAHs, respectively. Four-ring PAHs that originated mainly from coal and biomass burning made up a relatively large proportion of the ƩPAHs, which is consistent with other reports [
44,
45,
46]. This phenomenon occurs because 4-ring PAHs can be transferred from the gaseous phase to the particle phase easily at low ambient temperatures in winter due to vapor pressure [
47] and may also be related to the emission sources that will be discussed in
Section 3.3. Among the three NPAHs, 2-NFR had the highest average concentration (7.75 ± 4.59 pg/m
3), making up 72% to 84% of the daily ƩNPAHs, followed by 1-NP (1.77 ± 1.02 pg/m
3), which constituted 11% to 21% of the daily ƩNPAHs during the sampling period (
Table 1). Additionally, consistent with previous studies, the concentration of 2-NFR was higher than those of 1-NP and 2-NP; of these NPAH types, 2-NFR and 2-NP are secondarily generated [
30,
48,
49].
Among the eight WSIIs, SO
42− had the highest average concentration (3.78 ± 1.77 μg/m
3), followed by NH
4+ (1.35 ± 0.59 μg/m
3). Moreover, the concentration of NO
3− (0.28 ± 0.23 μg/m
3) was also higher than those of the other WSIIs (
Table 1). These three species constituted at least 85% of the daily ƩWSIIs and are therefore the main WSII species of PM
2.5, which is consistent with previous studies [
24,
41,
50]. Because anions can increase the acidity of PM and cations can increase the alkalinity of PM, the AE/CE ratio is a good indicator for determining the acidity or alkalinity of PM [
23]. As shown in
Figure 2, AE/CE was 1.06, with good linearity (
r = 0.97), indicating that PM
2.5 was relatively neutral at Kirishima during the sampling period. Moreover, the AE/CE value, which was close to 1, also corroborates the validity of the WSII measurements, indicating that most WSII species were quantified [
51].
3.3. Potential Emission Sources
Table 2 summarizes some of the diagnostic ratios of PAHs, NPAHs, and WSIIs at Kirishima during the sampling period. The [FR]/([FR] + [Pyr]) ratios ranged from 0.50 to 0.74, with an average of 0.61, and the [BaA]/([BaA] + [Chr]) ratios ranged from 0.34 to 0.52, with an average of 0.41. Compared to the reference value of PAH diagnostic ratios emitted from coal burning and traffic emissions [
52,
53], the potential source of the emissions in this study was coal burning. Moreover, the [1-NP]/[Pyr] ratios, which ranged from 0.005 to 0.019 and had an average of 0.008, was also close to that of coal burning emissions [
21]. However, the [BbF]/([BbF] + [BkF]) ratios ranged from 0.72 to 0.76, the [BaP]/[BgPe] ratio ranged from 0.32 to 0.90, and the [IDP]/([IDP] + [BgPe]) ratios ranged from 0.34 to 0.58; these values are between those for coal burning and traffic emissions, indicating mixed sources for the PAHs in this study [
37,
53,
54]. Of the three NPAHs, 1-NP is primarily formed, and 2-NFR and 2-NP are secondarily formed [
48]. As shown in
Figure 3, the [2-NFR]/[1-NP] ratios ranged from 3.50 to 7.68, with an average of 4.51, and its values were mostly lower than 5. These values indicate the higher contribution of direct emissions such as coal burning during the sampling period [
55]. The [NO
3−]/[SO
42−] ratio is usually used to estimate the relative importance of traffic emissions and coal burning sources [
42].
Table 2 shows that these ratios ranged from 0 (NO
3− concentration was less than the LOD) to 0.32, with an average of 0.11. Ratios lower than 1.0 indicate that the emission sources were more likely related to coal burning [
42]. Consequently, the diagnostic ratios of PAHs, NPAHs, and WSIIs indicated that the main sources at Kirishima during the sampling period were mixed but that coal burning made a higher contribution than traffic emissions.
On the other hand,
Figure 3 also shows that the [2-NFR]/[2-NP] ratios ranged from 7.61 to 32.0, with an average of 18.4. Values of this ratio near 10 indicate that 2-NFR is mainly secondarily formed by the OH radical-initiated reaction rather than formed through the NO
3 radical-initiated reaction, which was similar to the results for 2-NP [
55]. Moreover, some WSII species had both sea-salt sources and non-sea-salt sources. According to the calculations from Equations (3)–(5), the concentrations of [nss-SO
42−], [nss-K
+], and [nss-Ca
2+] accounted for 90% to 99% of the total SO
42−, K
+, and Ca
2+, indicating that these species were mostly emitted from non-sea-salt sources.
Table 3 shows the concentration ratios of these species to Na
+ during the sampling period. According to the reference data [
56], the ratios of [SO
42−]/[Na
+], [K
+]/[Na
+], and [Ca
2+]/[Na
+] all suggested that they were more abundant in PM
2.5 than in sea salt. However, the [nss-Mg
2+]/[Mg
2+] percentages ranged from 0% to 82%, with an average of 47%, and the [Mg
2+]/[Na
+] ratios ranged from 0.10 to 0.66, with an average of 0.26 (
Table 3); both of these results suggest that sea salt had a relatively large impact as a source of Mg
2+ [
56].
3.4. Backward Trajectory Analysis
Figure 4 shows the source areas of the air masses that arrived at Kirishima during the sampling period determined by performing a cluster analysis of their tracked 72-h backward trajectories. Of the four clusters, clusters 2, 3, and 4 constituted approximately 74% of all the air masses and all came from the northwest direction, consistent with the prevailing wind direction at Kirishima (NNW;
Table S2,
Supplementary Materials). Specifically, cluster 1 contained 26% of the air masses, which came from the Sea of Japan and then moved across domestic Japan and from the Pacific Ocean to Kirishima. Clusters 2 and 3 contained 32% and 20% of the air masses, respectively, which came from different source areas in Russia and moved across both Mongolia and North China. Cluster 4 contained 22% of the air masses, which came from North China and then passed across the Yellow Sea to Kirishima. These results were consistent with previous studies showing that the air masses that arrived in Japan in the wintertime came mostly from the Asian continent [
57,
58]. The source areas of Mongolia and northern China, which the air masses came from or passed through, contained high concentrations of air pollutants during the sampling period because biomass burning for warmth is common in Mongolia [
43] and coal burning in heating systems is common in North China [
46]. In addition,
Figure 4 shows that the height ranges of the air masses that came from local Japan and the ocean (cluster 1) were lower than 1000 m, which is much lower than those that came from the Asian continent, including Russia, Mongolia, and China (clusters 2, 3, and 4). These results suggest that the air pollutants originating from emission areas in Japan and the sea are very likely to sink during the long-range transport process [
26] and thus are less likely to arrive at Kirishima than those originating from the Asian continent. The diagnostic ratios discussed in
Section 3.3 suggested that coal burning had a larger impact than other sources and that the direct emission of NPAHs made a high contribution. These results may be because the air masses from the Asian continent arriving at Kirishima contained these species emitted from combustion sources that did not undergo substantial degradation during the long-range transport process; this phenomenon has also been reported in previous studies [
26,
27,
48].
According to the daily concentrations of each species shown in
Tables S3 and S4 (
Supplementary Materials), the concentrations of ∑PAHs and ∑NPAHs on 26 November 2016 (∑PAHs: 364 pg/m
3; ∑NPAHs: 2.12 pg/m
3) and 12 December 2016 (∑PAHs: 382 pg/m
3; ∑NPAHs: 2.89 pg/m
3) were lower than those on other days. As shown in
Table S5 (
Supplementary Materials), the main source areas for the air masses on these two days were both domestic across the Pacific Ocean and Kirishima, and the height ranges of the air masses were both lower than 500 m; these air masses were in cluster 1. Previous studies have reported that air masses coming from or passing through the ocean contain a relatively low concentration of air pollutants because the sea has a diluting effect on air pollutants [
27,
29]. Moreover, the meteorological conditions shown in
Table S2 (
Supplementary Materials) showed that the precipitation was higher on 27 November 2016 (29.5 mm) and 13 December 2016 (46.5 mm). These results suggest that the rain-out effect had a positive effect on cleaning PM suspended in the atmosphere [
59], leading to low concentrations of ∑PAHs and ∑NPAHs on 26 November and 12 December 2016 because the filters for those two days were changed at 16:30 on 27 November and 13 December 2016. On the other hand, although the concentration of WSIIs on 12 December 2016 was also low, the concentration on 26 November 2016 was closer to the average concentration (
Table S5,
Supplementary Materials).
Table S2 (
Supplementary Materials) indicates that the prevailing wind direction on 26 November 2016 was NNW, which was different from that on 12 December 2016 (NNE), suggesting that the ground source areas were different. This difference may have led to the difference in WSII concentrations between these two days because WSIIs can not only be emitted from combustion sources but can also come from non-combustion sources such as road dust [
31,
56].
As shown in
Table 1, the median concentrations of most PAHs, NPAHs, and WSIIs were lower than their average concentrations. In particular, the median concentration of ∑PAHs was 18.9% lower than the average level, suggesting that high concentrations had relatively large impacts on the total concentration during the whole period. According to the daily concentrations shown in
Table S3 (
Supplementary Materials), there were nine days, including 25 and 27 to 29 November and 1, 5, 6, 8, and 9 December 2016, on which the concentrations of ∑PAHs were higher than the average level (1.32 ng/m
3); the daily concentrations of NPAHs on those nine days were also higher than the average level (9.98 pg/m
3). In addition, there were six days among these nine days in which the daily concentrations of ∑WSIIs were higher than the average level (5.74 µg/m
3).
Table S5 (
Supplementary Materials) shows that all air masses on these days came from the Asian continent, with high height ranges, except those on 29 November and 8 December 2016, which had relatively low heights. This suggests that the air masses arriving at Kirishima contained relatively high concentrations of air pollutants [
21]. Therefore, the impact of air masses from the Asian continent in winter on Kirishima cannot be ignored, although not all air masses from the Asian continent showed high concentrations of PAHs, NPAHs, and WSIIs.
3.5. Health Risk Assessment
Table 4 summarizes the BaP
eq concentrations of nine PAHs, 1-NP, and 2-NFR (2-NP had no available TEF value) at Kirishima during the sampling period. The ƩBaP
eq concentrations ranged from 31.2 to 302 pg/m
3, with an average of 142 pg/m
3, and the nine PAHs contributed mostly to ƩBaP
eq concentrations. In addition to BaP (90.9 pg/m
3), BbF (18.7 pg/m
3) and IDP (16.3 pg/m
3) had the highest BaP
eq concentrations, indicating that they represented higher health risks than the other species. On the other hand, although the 1-NP and 2-NFR concentrations were much lower than those of the nine PAHs (
Table 1), the BaP
eq concentrations of 1-NP (0.18 pg/m
3) and 2-NFR (0.39 pg/m
3) were comparable to those of FR (0.31 pg/m
3) and Pyr (0.18 pg/m
3) because the TEF values of 1-NP and 2-NFR were higher than those of FR and Pyr (
Table 4) [
8,
9,
32].
The ILCR at Kirishima during the sampling period was 1.22 × 10
−5, indicating that approximately 12 cancer cases may occur among 10
6 people due to PAHs and NPAHs exposure. The ILCR in this study was much lower than that in other Asian cities that used the same UR
BaP value [
30,
37,
60]. However, it was one order of magnitude over the acceptable level established by the US EPA (10
−6), indicating that exposure to PAHs and NPAHs at the levels observed in this study has adverse effects on human health. On the other hand, the UR
BaP value used to calculate the ILCR in this study was obtained from an epidemiological study of coke oven workers whose ILCR was very high [
33]; this created some uncertainty in determining the risk of exposure to PAHs and NPAHs for the non-professional population.