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Asian Journal of Atmospheric Environment - Vol. 11 , No. 4

[ Research Article ]
Asian Journal of Atmospheric Environment - Vol. 11, No. 4
Abbreviation: Asian J. Atmos. Environ
ISSN: 1976-6912 (Print) 2287-1160 (Online)
Print publication date 31 Dec 2017
Received 02 Nov 2017 Revised 03 Dec 2017 Accepted 14 Dec 2017
DOI: https://doi.org/10.5572/ajae.2017.11.4.313

Ionic Compositions of PM10 and PM2.5 Related to Meteorological Conditions at the Gosan Site, Jeju Island from 2013 to 2015
Jung-Min Song ; Jun-Oh Bu ; Jae-Yun Lee ; Won-Hyung Kim ; Chang-Hee Kang*
Department of Chemistry and Cosmetics, College of Natural Sciences, Jeju National University, JeJu 63243, Republic of Korea

Correspondence to : * Tel: +82-64-754-3545, E-mail: changhee@jejunu.ac.kr

Funding Information ▼

Abstract

PM10 and PM2.5 were collected at the Gosan Site on Jeju Island from 2013 to 2015, and their ionic and elemental species were analyzed to examine the variations in their chemical compositional characteristics related to different meteorological conditions. Concentrations of nss-SO42- and NH4+ were respectively 6.5 and 4.7 times higher in the fine particle mode (PM2.5) compared to the coarse particle mode (PM10-2.5), however NO3- concentrations were 2.4 times higher in the coarse mode compared to the fine particle mode. During Asian dust days, the concentrations of nss-Ca2+ and NO3- increased to 8.2 and 5.0 times higher in PM10, and 3.5 and 6.0 times higher in PM2.5, respectively. During haze days, the concentrations of secondary pollutants increased by 3.1-4.7 and 3.2-7.9 in PM10 and PM2.5, respectively, and they were, respectively, 1.2-2.1 and 0.9-2.1 times higher on mist days. The aerosols were acidified largely by sulfuric and nitric acids, and neutralized mainly by ammonia in the fine particle mode during the haze days, but neutralized by calcium carbonate in coarse particle mode during the Asian dust days. Clustered back trajectory analysis showed that concentrations of nss-SO42-, NO3-, and NH4+ were relatively high when air masses travelled from China.


Keywords: PM10, PM2.5, Coarse particle, Fine particle, Asian dust, Haze

1. INTRODUCTION

Korea is experiencing difficulties in air quality management due to the effects of transboundary pollutants transported from the Asian continent over a long distance (Han et al., 2006). Most of the recent smog phenomena have been due to high concentrations of fine particulate matter.

Atmospheric aerosols are particulate matter suspended in a solid and liquid state in the air. The shapes of these aerosol particles vary according to their source, particle size, and atmospheric environment, and have different chemical compositions. In addition, Asian dust, haze, and mist affect the composition of atmospheric aerosols. The distribution of organic carbon, water-soluble ion components, and harmful heavy metals is different according to the meteorological phenomena. Therefore, it is meaningful to compare and evaluate the chemical composition of atmospheric aerosols according to the weather phenomenon by distinguishing them by size (Lee et al., 2014).

Generally, coarse particles (2.5<Dp<10 μm) of atmospheric aerosols are generated by mechanical processes on the surface. Their atmospheric residence time is relatively short, once exposed to organisms, most are caught in upper respiratory organs, such as the mouth or nose. However, fine particles (Dp<2.5 μm) are produced by chemical processes, such as condensation and agglomeration of atmospheric materials (Hyeon et al., 2014; McMurry et al., 2004; Seinfeld et al., 1998). They mainly contain large quantities of secondary products, such as NH3, SO2, and NOx emitted from industrial facilities. In particular, microparticles with dimension between 0.1 and 1.0 μm in diameter are highly hazardous because they are absorbed and transported with vaporized carbon, sulfuric acid, and heavy metals when inhaled into the human body, and penetrate into the lungs (Na and Lee, 2000). Furthermore, microparticles tend to stay in the atmosphere for long periods of time and are transported long distances, so local pollution can broaden to the surrounding area (Shin et al., 1996).

In this study, we investigated the effects of various meteorological phenomena on the chemical composition of atmospheric aerosols. For this purpose, PM10 and PM2.5 were collected from the Gosan site on Jeju Island. Aerosols were analyzed to investigate pollutant characteristics, and were compared with compositional changes affected by Asian dust, haze, and mist events. We also investigated the effects of long-range transported pollutants from the Asian continent on atmospheric aerosols.


2. EXPERIMENTAL
2. 1 Sample Collection

PM10 and PM2.5 samples were collected at the Gosan background site (33°17ʹN, 126°10ʹE) on Jeju Island, Korea, from 2013 to 2015 using PM10 and PM2.5 sequential air samplers (APM Engineering, PMS-103 and PMS-104, Korea) with a teflon filter (Pall Co., ZefluorTM, PTFE 47 μm, 2.0 μm, USA). Flow rates for the air samplers were maintained at 16.7 L/min using a mass flow controller. The collected sample filters were sealed in petri dishes (SPL life science, PS, 52.7×12.6 mm) onsite, and then dried in a desiccator until reaching a constant weight. Dried sample filters were stored in a freezer maintained at -24°C until analysis (Kim et al., 2014). In total 315 sample filters were collected for PM10 and 301 for PM2.5. The PM10 and PM2.5 sample filters were divided into four groups based on meteorological conditions: 15 and 14 for PM10 and PM2.5 during Asian dust days, 23 and 24 during haze days, and 116 and 115 during mist days, respectively. The total number of non-event samples were 161 and 148 for PM10 and PM2.5, respectively.

2. 2 Analysis of Ionic Components

Water-soluble ionic components were extracted from the sample filters by adding 0.2 mL of ethanol and 30 mL of ultrapure water (18.2 MΩ · cm) and agitating them in an ultrasonic extractor for 30 min and shaker for 1 h (200 rpm). After filtering insoluble species from the extract using a syringe filter (Whatman, PVDF syringe filter, 0.45 μm), the filtrates were used for ionic component analysis.

The major water-soluble ionic species were analyzed by ion chromatography (Modula IC, equipped with a 907 IC pump and 732 IC detector, Metrohm, Herisau, Switzerland) using the Metrohm Metrosep Cation C6-150 column with 3.0 mM nitric acid eluent for cations, and the Metrosep A-SUPP-16 column with 7.5 mM Na2CO3 eluent and 200 mM H2SO4 suppressor solutions for anions.

Standard solutions for cation (NH4+, Na+, K+, Ca2+, and Mg2+) analyses were prepared using 100 μg/mL AccuStandards, and diluted to various concentrations (0.1-5.0 μg/mL) to make the standard calibration curves. The standard calibration curve calculated from the standard solutions showed good linearity; the coefficient of determination (R2) was higher than 0.9999. The standard solutions for anion (SO42-, NO3-, and Cl-) analyses were prepared using primary standard reagents (Sigma, 99.999% (NH4)2SO4, 99.99% KNO3, and 99.99% NaCl). The standard calibration curve was calculated using standard solutions with concentrations of 0.1-5.0 μg/mL. The standard solutions for the analysis of trace organic acid ions (HCOO-, CH3COO-), F-, and CH3SO3- were made using high purity reagents (Sigma, 99.99% NaF, 99.9% CH3COONa·3H2O, 99% HCOONa, and 98% CH3SO3Na), and diluted to concentrations of 0.01-0.5 μg/mL for calculating standard calibration curves. The correlation between the standard calibration curve and standards for analyzing anions and organic acids showed good linearity; the coefficients of determination were ≥0.9999.

Based on the seven repeated analyses by ion chromatography, the instrument detection limits (IDLs) for the IC analyses were in the range of 0.3-10.7 μg/mL for the twelve analyzed ionic species, and the coefficient of variation (CV) ranged from 0.1 to 3.3%.


3. RESULTS AND DISCUSSION
3. 1 Mass Concentrations of Atmospheric Aerosols

The mass concentrations of PM10 and PM2.5 during non-event days excluding Asian dust, haze, mist and heavy rainfall (over 3 mm), were 35.7±15.3 μg/m3 and 14.8±8.5 μg/m3, respectively. The mass concentration observed using the β-ray absorption method by Korea Meteorological Administration, was 25.8±11.2 μg/m3, which was somewhat lower than this study. The correlation coefficient between the two measurements was about r=0.75. In addition, Lee et al. (2015) also demonstrated a somewhat lower result than the PM2.5 mass concentration, 18.6 μg/m3 measured in 2008-2012 at the Gosan area. This value was also 1.6-1.8 times lower compared to the PM10 mass concentrations; 57.8, 64.5, 61.2, and 59.4 μg/m3, respectively, measured in 2009 in the major metropolitan areas of Seoul, Gyeonggi, Incheon, and Busan (Table 1).

Table 1. 
Mass concentrations of PM10 and PM2.5 at Gosan and other metropolitan sites.
Site Concentration (μg/m3) Reference
PM10 PM2.5 Period
Gosan, Jeju 35.7±15.3 14.8±8.5 2013-2015 This study
Gosan, Jeju - 18.6 2008-2012 Lee et al., 2015
Seoul 57.8 - 2009 Lim et al., 2012
Gyeonggi 64.5 - 2009 Lim et al., 2012
Incheon 61.2 - 2009 Lim et al., 2012
Busan 59.4 - 2009 Lim et al., 2012

3. 2 Water-soluble Ionic Concentrations

The ionic concentrations of PM10 on the non-event days were in the order; nss-SO42->Cl->NO3->Na+>NH4+>K+>Mg2+>nss-Ca2+>CH3COO->HCOO->CH3SO3->F-. The major secondary pollutants (nss-SO42-, NO3-, and NH4+) accounted for 60.0% of total ionic composition, followed by the sea salt (Na+, Cl-, and Mg2+) at 34.2%, the organic acid (CH3COO- and HCOO-) at 2.0%, and the soil components (nss-Ca2+) at 1.8% (Table 2 and Fig. 1).

Table 2. 
Concentrations and relative abundances of water-soluble ionic species in PM10 and PM2.5 particles.
Species Concentration (μg/m3) Ratio (PM10-2.5/PM2.5)
PM10 PM2.5 PM10-2.5
NH4+ 2.18±1.31 1.80±1.03 0.38 0.2
Na+ 2.49±1.74 0.27±0.27 2.23 8.4
K+ 0.33±0.19 0.16±0.12 0.17 1.1
nss-Ca2+ 0.31±0.21 0.06±0.03 0.25 4.0
Mg2+ 0.32±0.19 0.05±0.03 0.27 6.0
nss-SO42- 5.26±2.45 4.56±2.47 0.70 0.2
NO3- 2.90±2.02 0.85±1.24 2.05 2.4
Cl- 3.09±2.78 0.15±0.17 2.95 20.2
F- 0.01±0.01 0.001±0.001 0.01 4.4
HCOO- 0.08±0.07 0.03±0.04 0.04 1.4
CH3COO- 0.27±0.42 0.04±0.06 0.23 6.0
CH3SO3- 0.01±0.04 0.01±0.01 0.003 0.3


Fig. 1. 
Relative contributions of water-soluble ionic species to PM10 and PM2.5 particle compositions.

The ionic concentrations of PM2.5 on non-event days were in the order; nss-SO42->NH4+>NO3->Na+>K+>Cl->nss-Ca2+>Mg2+>CH3COO->HCOO->CH3SO3->F-. Of these components, nss-SO42-, NH4+, and NO3-, which are of anthropogenic origin, were as high as 4.56, 1.80, and 0.85 μg/m3, respectively. In contrast, Na+, Cl-, and nss-Ca2+ components were relatively low in concentration. Secondary pollutants (nss-SO42-, NO3-, and NH4+) accounted for 90.4% of the total ion composition, accounting for 1.5 times more of the total than in PM10. Sea salt (Na+, Cl-, Mg2+) accounted for 5.7%, organic acid (HCOO-, CH3COO-) accounted for 0.9%, and the soil component (nss-Ca2+) accounted for 0.8% of the total, demonstrating low relative abundances.

Comparing the distributions of ion components in PM10-2.5 and PM2.5, shown in Table 1, the concentration ratio of PM10-2.5/PM2.5 is <1 for NH4+ and nss-SO42-, indicating that they were more distributed in the fine particle mode. However, Na+, Cl-, nss-Ca2+, Mg2+, and NO3- had higher abundances in the coarse particle mode, and K+ was uniformly distributed in coarse and fine particles.

In atmospheric aerosols of urban areas, NO3- concentration is usually higher than nss-SO42-. This higher abundance is from NO3- generation related to energy use and the influence of mobile pollutants. In previous studies, the ratios of nss-SO42-/NO3- in PM2.5 fine particles in the urban areas of Seoul, Chuncheon, Suwon, Gwang-ju, and Chungju were 1.06, 1.62, 1.54, 1.21 and 1.03, respectively (Kang et al., 2015; Lee et al., 2009; Jung and Han, 2008). In addition, the values were 1.99, 1.48, and 1.66 in the urban areas of New York, Beijing, and Shanghai, respectively (Wang et al., 2006, 2005). In contrast, the nss-SO42-/NO3- ratios of Baekryongdo and Deokjeokdo, which are domestic background areas, were 3.34 and 3.57, respectively, much higher than in the cities (Lee et al., 2010, 2002). The nss-SO42-/NO3- ratio in the mountainous site of Jeju Island showed a large value of 5.3 for the PM2.5 fine particles, indicating that the effect of anthropogenic emission due to mobile pollution sources was relatively low.

3. 3 Concentration Variation by Meteorological Conditions
3. 3. 1 Ionic Concentrations

The ion concentrations in PM10 and PM2.5 were compared based on Asian dust, haze, mist, and non-event days (Table 3). The concentrations of nss-Ca2+ during Asian dust days were 2.58 and 0.22 μg/m3 in PM10 and PM2.5, respectively, showing 3.2 and 3.5 times higher than those for the non-event days. NO3- concentrations were also 5.0 and 6.0 times higher in PM10 and PM2.5, respectively. However, nss-SO42- concentrations were 15.56 and 12.32 μg/m3 in PM10 and PM2.5, respectively; these concentrations were 3.0 and 2.7 times higher than those on non-event days, respectively, but were smaller differences than those for nss-Ca2+. The relatively high nitrate and sulfate ion concentrations in PM10 during Asian dust days were due to the chemical reactions of nitric acid and sulfuric acid with soil basic substances on the surfaces of the aerosols, converting them into salts, such as Ca(NO3)2 and CaSO4 (Rengarajan et al., 2011; Shin et al., 2005).

Table 3. 
Concentrations of ionic species in PM10 and PM2.5 particles, and their relative abundances during different meteorological conditions.
Species Concentrations (μg/m3) Ratio
PM10 PM2.5 PM10 PM2.5
AD HZ MT NE AD HZ MT NE AD/NE HZ/NE MT/NE AD/NE HZ/NE MT/NE
NH4+ 6.63 8.29 3.97 2.18 5.11 6.74 3.38 1.80 3.0 3.8 1.8 2.8 3.7 1.9
Na+ 3.73 3.12 2.19 2.49 0.43 0.37 0.28 0.27 1.5 1.3 0.9 1.6 1.4 1.1
K+ 0.77 0.88 0.32 0.33 0.55 0.58 0.18 0.16 2.3 2.6 1.0 3.4 3.6 1.1
nss-Ca2+ 2.58 1.03 0.34 0.31 0.22 0.11 0.08 0.06 8.2 3.3 1.1 3.5 1.8 1.3
Mg2+ 0.60 0.50 0.30 0.32 0.08 0.07 0.05 0.05 1.9 1.6 0.9 1.7 1.6 1.1
nss-SO42- 15.56 16.16 10.95 5.26 12.32 14.41 9.64 4.56 3.0 3.1 2.1 2.7 3.2 2.1
NO3- 14.44 13.52 3.47 2.90 5.11 6.72 0.77 0.85 5.0 4.7 1.2 6.0 7.9 0.9
Cl- 4.93 4.40 2.07 3.09 0.23 0.16 0.14 0.15 1.6 1.4 0.7 1.5 1.1 0.9
F- 0.05 0.02 0.004 0.01 0.005 0.003 0.001 0.001 7.1 3.2 0.5 3.5 2.0 0.4
HCOO- 0.12 0.16 0.06 0.08 0.04 0.05 0.02 0.03 1.6 2.0 0.8 1.4 1.4 0.6
CH3COO- 0.30 0.42 0.34 0.27 0.03 0.03 0.02 0.04 1.1 1.6 1.3 0.9 0.7 0.5
CH3SO3- 0.05 0.03 0.06 0.01 0.05 0.02 0.02 0.01 3.7 2.2 4.2 4.2 1.6 2.0
AD: Asian Dust, HZ: Haze, MT: Mist, NE: Non-Event

In addition, NH4+ increased 3.0 and 2.8 times in PM10 and PM2.5, respectively, during Asian dust days compared to the non-event days. However, in general, the concentrations of NH4+ in these coarse particles were somewhat unusual, given the tendency of NH4+ to be distributed in fine particles below 1.0 μm in diameter. NH3 is known to quickly produce the sulfate salts because of its high reactivity with H2SO4 in the atmosphere. In addition, reactions can be occured with other trong acidic substances, such as HNO3 and HCl (Zhuang and Huebert, 1996). It is known that ammonium salts, such as NH4NO3, NH4HSO4, and (NH4)2SO4, produced by those reaction could be migrated to coarse particles through physical process such as adherence and desorption (Szigeti et al., 2013; Park et al., 2010; Yeatman et al., 2001). The increase of NH4+ concentration in coarse particles might be due to those reactions in this study.

During haze days, the concentrations of anthropogenic species such as NH4+, nss-SO42-, and NO3-, increased by 3.1-4.7 times in PM10 and 3.2-7.9 times in PM2.5 compared with non-event days. These components showed higher increase than the other components, and especially NO3- concentration showed remarkable increase in the fine particles.

In the case of PM10 and PM2.5, the concentrations of NH4+ and nss-SO42- were 1.8-2.1 times higher during mist days than during non-event days. This higher abundance is presumably due to meteorological factors, such as humidity and temperature, which affected the particle conversion into particulate matter and particle agglomeration, and furthermore contributed to the increase in particulate matter concentration (Lee et al., 2013). In addition, the concentrations of these components were 1.2-8.7 times higher in haze days in comparison to mist days. In particular, NO3- concentrations during haze days were notably increased for PM2.5 compared to PM10. However, the concentration of CH3SO3- was relatively higher for mist days.

The ionic compositions on Asian dust, haze, mist, and non-event days were compared based on particle size (Figs. 2, 3). As shown, the major secondary pollutants (nss-SO42-, NO3-, and NH4+) accounted for 73.6%, 78.3%, and 76.4% of the PM10 during Asian dusts, haze days, and mist days, respectively; at PM2.5, the composition ratios were much higher at 93.3%, 95.2%, and 94.5%, respectively. Notably, the ionic compositions of NH4+ in PM2.5 were similar, at 23.0% and 23.2%, respectively, for haze and mist days, on the other hand, the compositions of NO3- and nss-SO42- in haze days were higher than those in mist days. These suggested that the secondary ionic pollutants play an important role in forming haze. The greater enhancements of SO42-, NO3-, and NH4+ were probably ascribed to fast conversion of their precursors via multiphase reactions during haze days (Zhang et al., 2016). In contrast, nss-Ca2+ accounted for 5.2% of PM10 during Asian dust days, 2.4 and 3.7 times higher than during haze and mist days, respectively. Sea salt components, such as Na+, Cl-, and Mg2+, showed high concentrations during mist day in both PM10 and PM2.5.


Fig. 2. 
Relative contributions of ionic species in PM10 particles during Asian dust, haze, mist, and non-event days.


Fig. 3. 
Relative contributions of ionic species in PM2.5 particles during Asian dust, haze, mist, and non-event days.

3. 4 Acidification and Neutralization Characteristics

Atmospheric sulfur and nitrogen oxides are converted to sulfuric acid and nitric acid by photochemical oxidation; they are also present in aerosols in the form of sulfate or nitrate by neutralizing reactions with ammonia or a soil basic substance. Trace amounts of organic acids are also neutralized by ammonia and calcium carbonate (Seinfeld and Pandis, 1998). The acidification contribution from sulfuric acid and nitric acid was evaluated from equivalent concentrations of SO42- and NO3-, and compared by meteorological phenomena (Table 4). As shown in the table, the sum of cationic and anioic equivalent concentrations in PM10 and PM2.5 were similar on non-event and event days, suggesting that inorganic acids, such as sulfuric and nitric acids, significantly contributed to aerosol acidification. Furthermore, the sums of the cationic and anionic equivalent concentrations were high during Asian dust and haze days compared to non-event days. However, the sums of the cationic and anionic equivalent concentrations for mist days were relatively lower than those of Asian dust and haze days.

Table 4. 
Comparison between the sums of equivalent concentrations of basic cations and acidic anions in PM10 and PM2.5 particles.
Meteorology PM10, μg/m3 PM2.5, μg/m3
Cation Anion Cation Anion
Non-event H+ 0.009 nss-SO42- 0.109 H+ 0.005 nss-SO42- 0.095
NH4+ 0.121 NO3- 0.047 NH4+ 0.100 NO3- 0.014
nss-Ca2+ 0.021 HCOO- 0.002 nss-Ca2+ 0.003 HCOO- 0.001
nss-Mg2+ 0.001 CH3COO- 0.005 nss-Mg2+ 0.001 CH3COO- 0.001
Total 0.152 Total 0.163 Total 0.109 Total 0.111
Asian dust H+ 0.008 nss-SO42- 0.324 H+ 0.006 nss-SO42- 0.256
NH4+ 0.368 NO3- 0.233 NH4+ 0.283 NO3- 0.082
nss-Ca2+ 0.129 HCOO- 0.003 nss-Ca2+ 0.011 HCOO- 0.001
nss-Mg2+ 0.012 CH3COO- 0.005 nss-Mg2+ 0.002 CH3COO- 0.0001
Total 0.517 Total 0.565 Total 0.302 Total 0.339
Haze H+ 0.009 nss-SO42- 0.336 H+ 0.006 nss-SO42- 0.300
NH4+ 0.459 NO3- 0.218 NH4+ 0.374 NO3- 0.108
nss-Ca2+ 0.052 HCOO- 0.003 nss-Ca2+ 0.006 HCOO- 0.001
nss-Mg2+ 0.010 CH3COO- 0.007 nss-Mg2+ 0.002 CH3COO- 0.0005
Total 0.530 Total 0.564 Total 0.388 Total 0.410
Mist H+ 0.008 nss-SO42- 0.239 H+ 0.005 nss-SO42- 0.202
NH4+ 0.220 NO3- 0.056 NH4+ 0.187 NO3- 0.012
nss-Ca2+ 0.017 HCOO- 0.001 nss-Ca2+ 0.004 HCOO- 0.0004
nss-Mg2+ 0.003 CH3COO- 0.006 nss-Mg2+ 0.001 CH3COO- 0.0004
Total 0.248 Total 0.302 Total 0.197 Total 0.215

Ammonia and calcium carbonate are the primary contributors to the neutralization of acidic substances. The degree of neutralization by these two substances can be evaluated by determining the neutralization factor (NF) through the following equations (1) and (2) (Galloway and Keene, 1989)

NFNH4+=NH4+nss-SO42-+NO3-+HCOO-+CH3COO-(1) 
NFnss-Ca2+=nss-Ca2+nss-SO42-+NO3-+HCOO-+CH3COO-(2) 

where [nss-SO42-], [NO3-], [HCOO-], [CH3COO-], [NH4+], and [nss-Ca2+] are each component’s equivalent concentration. As shown in Table 5, the neutralization factors for ammonia on non-event days were 0.74 and 0.91 for PM10 and PM2.5, respectively; the degree of neutralization by ammonia was higher for fine particles. However, the neutralization factors for calcium carbonate were 0.10 and 0.03 for PM10 and PM2.5, respectively, indicating that it had a large influence on coarse particles. During Asian dust days, the neutralization factors for ammonia were 0.65 and 0.83 for PM10 and PM2.5, respectively. The neutralization factors for calcium carbonate were 0.23 and 0.03, respectively, demonstrating that the degree of neutralization by calcium carbonate was much higher in the coarse particles. However, during haze days, the neutralization factor for ammonia was 0.91 for PM2.5, which was higher than other event days. In addition, the neutralization factor for ammonia was 0.88 during mist days.

Table 5. 
Neutralization factors (NF) by ammonia and calcium carbonate in PM10 and PM2.5 particles for different meteorological conditions.
Meteorology NFNH3 NFCaCO3
PM10 PM2.5 PM10 PM2.5
Non-event 0.74 0.91 0.10 0.03
Asian Dust 0.65 0.83 0.23 0.03
Haze 0.81 0.91 0.09 0.01
Mist 0.76 0.88 0.06 0.02

Based on the neutralization factors, it was found that the acidic substances in fine particles were mainly neutralized by ammonia, but the neutralization in coarse particles was occurred by calcium carbonate. In particular, the degree of neutralization by calcium carbonate was higher during Asian days in PM10 particles, and the degree of neutralization by ammonia during haze days were much higher in PM2.5.

3. 5 Influences of Air Mass Transport Pathways

Based on the sampling days (161 days), the cluster back-trajectory analysis was performed in order to investigate the transport pathways of air masses using NOAA’s HYSPLIT4 (Hybrid Single-Particle Lagrangian Integrated Trajectory) model and GDAS meteorological data provided by the National Centers for Environmental Prediction (NCEP) (Draxler and Rolph, 2013; Kim et al., 2004). The back-trajectory analysis was created for 72 hours based on 00 UTC for the corresponding sampling date. The altitude of the starting point for this cluster back-trajectory analysis was set at 72 m above sea level for Gosan site (Fig. 4).


Fig. 4. 
Cluster back-trajectories for air masses corresponding to sampling dates at the Gosan Site.

As shown by the results of the cluster back-trajectory analysis, the pathways of air masses transported to the Gosan site were initially classified into three different categories: Cluster 1 (China continent), Cluster 2 (Korean Peninsula), and Cluster 3 (North Pacific). As shown in the figure, the frequency distribution of all transport pathways during the entire study period was 60% (97 days), 35% (56 days), and 5% (8 days) for Clusters 1, 2, and 3, respectively, with inflow pathways from China continent accounting for the largest fraction. Comparing the concentrations of major ionic components by transport pathways of air masses, NH4+, nss-SO42-, and NO3- were highest, at 2.27, 5.36, and 3.24 μg/m3, respectively, when the air mass moved from China continent (Cluster 1) (Table 6). The concentration of soil-originated nss-Ca2+ was also high when the air masses were moving in from mainland China. In contrast, marine components, such as Na+ and Cl-, were relatively higher when air masses were moving in from the North Pacific (Cluster 3).

Table 6. 
Comparison of nss-SO42-, NO3-, NH4+, and nss-Ca2+ concentration (μg/m3) in PM10 particles using cluster back-trajectory.
Pathway nss-SO42- NO3- NH4+ nss-Ca2+
Cluster 1 5.36 3.24 2.27 0.37
Cluster 2 5.19 2.49 2.13 0.23
Cluster 3 4.53 1.78 1.54 0.21


4. CONCLUSION

PM10 and PM2.5 aerosols were collected from Korean background site and their water-soluble ionic components were analyzed. The results indicated that major anthropogenic components, such as nss-SO42- and NH4+, were much higher in fine particles (PM2.5) than in coarse particles (PM10-2.5). However, NO3- was relatively higher in coarse particles. In PM10, the major secondary pollutants (nss-SO42-, NH4+, and NO3-) accounted for 60.0% of the water-soluble ion components. In comparison, in PM2.5, secondary pollutants accounted for 90.4% of the total, showing a much higher contribution in the fine particles.

During Asian dust days, the concentrations of nss-Ca2+ were higher in PM10, while those of nss-SO42-, NH4+, and NO3- were higher in PM2.5. The concentration of nss-SO42-, NH4+, and NO3- increased in PM2.5 during haze days and concentrations of NH4+ and nss-SO42- in PM10 and PM2.5 were higher on mist days than on non-event days. Atmospheric aerosols at Gosan site were characterized by the influence of soil particles in PM10 during Asian dust events, and the effects of secondary pollutants were clear in PM2.5 during haze and mist days.

The acidification of atmospheric aerosols was mainly affected by sulfuric and nitric acids, and the neutralization of these inorganic acids was mainly caused by ammonia in PM2.5 and calcium carbonate in PM10. In particular, during Asian dust days, the degree of neutralization by calcium carbonate was high in PM10, while during haze days, the degree of neutralization by ammonia was high in PM2.5.

Cluster back-trajectory analysis indicated that the concentration of major secondary pollutants and soil-originated components was higher when air masses moved from mainland of China, which is presumed to be severely affected by the air pollutants emitted from China.


Acknowledgments

This research was supported by the 2016 scientific promotion program funded by Jeju National University.


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