국내 미세먼지 농도는 과거에 비해 감소하는 추세이지만 건강에 대한 미세먼지의 위해성이 부각되면서 그에 대한 관심과 우려는 점점 높아지고 있다. 미세먼지에 대응하기 위해서는 미세먼지 농도의 영향 요인과 그 영향의 정도를 파악하는 것이 중요하다. 도시에서 미세먼지는 다양한 요인에 의해 복합적인 영향을 받는다. 기상조건에 큰 영향을 받아 강수와 풍속에 음의상관을 나타낸다. 계절에 따른 기상 조건의 차이로 계절별 뚜렷한 미세먼지 농도 차이가 나타하며, 주로 봄과 겨울에 고농도가 발생한다. 도시 외부적 영향으론 봄철 황사의 영향이 크며, 타 지역에서 발생한 미세먼지가 도시로 유입되어 미세먼지 농도를 악화시킨다. 도시 내부에서는 미세먼지가 발생되는 배출원이 넓게 분포하고, 도시에서 배출된 기체상 오염물질은 대기 중에서 물리화학 적으로 반응하여 2차 미세먼지로 변환된다. 도시환경에서 미세먼지는 도시열섬이나 기온 역전층에 의한 대기정체로 악화되거나, 도시 내 복잡한 공간구조로 인해 발생한 미기상 조건의 영향으로 변화한다. 미세먼지는 강우 시 씻겨 나가고, 바람길이 확보되어 정체된 미세먼지가 확산되면서 감소하며, 녹지에 의해서도 저감되는데, 도시 내 나무는 기공에서 미세먼지를 흡수하고, 식물체 표면에 먼지가 흡착되어 미세먼지 저감에 기여한다. 본 연구는 다양한 미세먼지 영향 요인 중 도시 내부적 요인인 토지피복 특성에 따른 미세먼지 농도 차이를 분석하고자 하였다. 토지피복 유형 중 미세먼지 배출에 관련된 시가화지역과 미세먼지 저감에 관련된 산림지역 유형의 비율에 따라 미세먼지 농도는 어떠한 차이를 보이는지 살펴보았다 연구는 서울시에 위치한 환경부 대기오염 측정망 주변의 시가화지역과 산림지역 토지피복의 비율에 따라 대기오염 측정소를 3개 그룹으로 구분한 뒤, 그룹별 미세먼지 농도 차이를 계절별로 비교하였다. 미세먼지 농도는 환경부 대기 오염 측정망의 2016년 PM10과 PM2.5의 일평균 농도 자료를 활용하였다. 토지피복은 환경부 대분류 토지피복 자료를 활용하였고, 대기오염 측정망 주변 반경 3㎞내의 토지피복 비율을 산출하였다. 토지피복 비율을 기준으로 K-mean 군집화를 통해 대기오염 측정소를 3개 그룹으로 분류하였고, 3개 그룹간 농도 차이는 비모수 검정방법인 Kruskal-Wallis 검정을 실시하였다. 개별 그룹간 차이는 Mann-Whitney U 검정을 실시하여 Bonferroni Correction Method에 따른 유의수준 보정을 통해 두 그룹간의 통계적 차이를 제시하였다. 시가화지역과 산림지역 비율에 따른 K-mean 군집화 결과 산림 우세 그룹(A)의 토지피복 비율 평균은 산림 34.6%, 시가지 53.4%이었고, 6개의 측정소가 분류되었다. 시가지 우세 그룹(B)은 산림 6.7%, 시가지 76.3%이었고, 10개 측정소가 분류되었다. 중간값 그룹(C)은 산림 16.5%, 시가지 61.8%로 7개 측정소가 분류되었다. PM10의 계절별 농도에 대하여 그룹별 정규성 검정 결과 모든 계절에서 정규분포를 충족하지 않았다. 따라서 비모수 검정인 Kruskal-Wallis test를 실시한 결과 모든 계절에서 그룹간 차이가 통계적으로 유의하였다(p<0.001). 개별 그룹 간 차이에 대해 Bonferroni Correction Method를 적용한 Mann-Whitney U 검정결과 겨울철 B-C 그룹간 차이를 제외한 모든 계절의 그룹간 차이가 통계적으로 유의하였다 (p<0.001). 종합하면 A그룹은 모든 계절의 PM10 농도가 B, C그룹보다 낮았다. B그룹은 겨울철만 C그룹보다 낮았으나 차이는 유의하지 않았고, 나머지 계절에서 A, C그룹보다 유의하게 높았다. PM2.5의 계절별 농도도 모든 계절에서 정규분포를 충족 하지 않아 Kruskal-Wallis test를 실시한 결과 모든 계절에서 그룹간 차이가 유의하였다(p<0.001). 개별 그룹간 분석도 겨울철 B-C 그룹을 제외한 모든 계절에서 통계적으로 유의한 차이가 인정되어(p<0.001) PM10 결과와 동일한 경향을 확인하였다. 계절별로 그룹간 차이를 자세히 살펴보면 PM10은 A그룹의 농도가 B, C그룹과 큰 차이로 낮았고, B-C의 차이가 작았다. 이러한 경향은 계절별로도 유사하였지만, 고농도 시기인 겨울과 봄에 그룹간 차이가 다소 작고, 저농도 시기인 여름과 가을에 다소 큰 차이가 있었다. PM2.5 농도는 봄~가을에 A<C<B순서를 보이며 그룹간 균등한 차이를 보였고, 겨울은 B와 C그룹의 농도가 유사하면서, A그룹과의 차이가 컸다. 저농도 시기인 여름에 그룹간 차이가 가장 컸고, 고농도 시기인 겨울에는 차이가 가장 작았다. 고농도 시기인 봄의 그룹간 편차와 저농도 시기인 가을의 편차는 유사하였다. 이상의 분석 결과 측정소 주변 산림지역 비율이 높은 지역은 미세먼지 농도가 낮고, 시가화지역 비율이 높은 지역은 미세먼지 농도가 높아 미세먼지의 배출과 저감에 기여하는 토지피복 유형의 비율에 따른 미세먼지 농도 차이를 확인하였다. PM10과 PM2.5 모두 산림 우세 그룹(산림비율 평균 34.6%)의 미세먼지 농도가 가장 낮았다. 중간값 그룹(산림비율 평균 16.5%)은 시가지 우세 그룹 보다 미세먼지 농도가 낮지만 PM10은 차이가 작았고, PM2.5는 차이가 커서, PM2.5는 중간값의 산림비율에서도 농도 저감 효과가 큰 것으로 판단되었다. 계절별로는 여름철에 그룹간 농도 차이가 가장 커서 저농도 시기에 토지피복에 의한 영향이 증가하는 것으로 추정되었다. 또한 고농도 시기인 겨울철은 그룹간 농도 차이가 가장 작아 고농도 시기에 토지피복의 영향은 감소하고, 기상조건 등 다른 요인의 작용이 큰 것으로 판단되었다. 다만 1년 중 가장 농도가 높은 계절은 봄철 이었는데 겨울철 보다 그룹간 농도 편차가 컸다. 이에 대한 추후 연구가 필요하였다.

This study investigated and reported the results of the distribution of in air particulate matter concentration inside school classrooms where children, who are known to be environmentally vulnerable, spend the most time after home. The objective of this study is to provide basic data for future studies related to indoor air quality in Yeongwol county and studies for improving school environment. The study investigated the levels of the concentration distribution of PM10 and PM2.5 in classrooms at 19 different elementary schools based in Yeongwol county from December 12 to 19, 2016. In the classrooms of the elementary schools in Yeongwol county, the pooled average concentration of PM10 and PM2.5 was 11.9 μg/m³ and 4.2 μg/m³, respectively. These concentration rates were lower than those of PM10 and PM2.5 surveyed in classrooms of elementary schools based in other regions of Korea. Further, they did not exceed 100 μg/m³, the PM10 guideline concentration provided by the School Health Act. The study results revealed that the winter concentrations of PM10 and PM2.5 in air inside classrooms of elementary schools based in Yeongwol county were influenced more by indoor sources such as indoor residents rather than outdoor sources.

본 연구는 3년(2005. 12. 1-2008. 11. 30) 동안 부산의 PM2.5 대기오염자동관측소(장림동: 공업지역, 좌동: 주거지역) 측정자료 중 고농도 PM2.5(24시간 환경기준 50μg/m3)에 대한 PM2.5 및 PM2.5/PM10 농도비의 일변화 특성과 함께 시 공간적 풍계(풍향 및 풍속)에 따른 특성을 분석하고자 하였다. 고농도 PM2.5는 장림동과 좌동 각각 182일 및 27일이었다. 장림동에서 고농도 PM2.5의 시간평균농도 및 PM2.5/PM10 농도비의 일변화는 모든 계절에서 오후에 비해 새벽과 오전 및 야간에 높은 비슷한 패턴을 나타내었다. 좌동의 여름 주간에 PM2.5/PM10 농도비가 증가하는 것은 해양조건에서 광화학반응에 의해 생성되는 이차 입자상물질 중 PM10의 거대입자 농도가 미세입자인 PM2.5 농도보다 더 감소하기 때문이다. 시간대별로 시 공간적 풍계(풍향 및 풍속등급) 특성을 분석하였다. 그 결과, 고농도 PM2.5는 장림동에서 공업단지의 산업활동에 의한 오염물질 정체와 주변지역의 오염물질 이동에 의해 발생되었다. 좌동에서는 주로 주거와 상업활동으로 인한 지역적 오염물질 정체로 발생하는 것으로 나타났다.

The aim of this study is to analyze the distribution of particulate matters including PM_2.5 which is known for severe adverse health effect than PM₁₀ in public facilities. The total 40 public buildings are investigated in this study and they are classified into 11 sub-groups as follows : child-care centers, medical centers, libraries, museums, bus terminals, ports, airports, railway terminals, subway stations, large-scale stores, and indoor parking lots. The mean concentration of PM₁₀ was 38.6㎍/㎥ and that of PM₁₀ in all studied facilities were lower than the Ministry of Environment's control standards. The average concentration of PM_2.5 was 27.2㎍/㎥ and that of PM_2.5 in 18 facilities were exceed the guideline of WHO (24h average value : 25㎍/㎥). The subway stations had the highest indoor level of particulate matters and the waiting area in bus terminals, railway terminals, indoor parking lots had followed in order. When comparing mean value of I/O ratio of PM₁₀, the only I/O ratio of subway stations were greater than one. In the case of PM_2.5, however, the average concentrations of PM_2.5 in indoors of subway stations, bus terminals, and indoor parking lots were higher than those of PM_2.5 in outdoors. The mean concentration of PM₁₀ and PM_2.5 were gradually increased between 6 A.M and 10 A.M and after 6 P.M in most of target buildings with increasing the number of users in thest facilities.

본 연구에서는 2006년부터 2008년까지 3년간 봄철에 PM10과 PM2.5를 채취하여 질량농도와 금속원소의 화학적 특성, 기상인자와의 관계 분석, 황사 및 비황사시의 미세먼지 특성 그리고 이동경로에 따른 농도의 특성을 고찰하였다. 연구기간동안의 PM10, PM2.5, PM10-2.5평균농도는 각각 126.2±89.8, 85.5±41.6, 40.7±54.9μg/m3이었으며 PM2.5/PM10 및 PM10-2.5/PM2.5 비는 각각 0.70, 0.48이었다. 우리나라의 북서쪽인 북경을 포함한 지역과 서쪽인 상해를 포함한 지역에서 공기덩어리가 이류 할 때 가장 높은 미세먼지농도를 나타내었다.

부산지역에서 PM10 과 PM2.5중의 금속 성분 농도를 파악하기 위하여 2004년 3월부터 2004년 12월까지 조사하였다. PM10의 평균농도는 58.2μg/m3 농도범위는 8.3~161.1μg/m3이었으며, PM2.5의 평균농도는 29.3μg/m3, 농도범위는 2.8~65.3μg/m3였다. PM10의 평균 질량농도는 황사시 121.5μg/m3, 비황사시 56.0μg/m3로 나타났다. 10 이상의 지각농축계수를 보인 성분은 Cd, Cr, Cu, Ni, Pb 및 Zn로서 인위적기원을 받은 것으로 추정된다. PM10과 PM2.5 중 미량금속 성분의 지각농축계수는 황사시보다 비황사시에 높게 나타났으며, 인근의 공단지역으로부터 인위적 오염물질이 수송된 것으로 추정된다. PM10과 PM2.5의 토양입자의 평균 기여율은 각각 15.2%와17.5%였다. 토양기여율의 황사/비황사비는 PM10과 PM2.5에서 각각 1.9와 2.1로 나타났다.

This research investigated the effect of the eruption of Japan Sakurajima volcano on the concentration of ultrafine particle when the north Pacific high pressure exists in the Busan in summer. As a result of analyzing the forward trajectory using the HYSPLIT model, the air parcel from Sakurajima volcano passed through the sea in front of Busan at 1500 LST on July 17, 24 hours after the volcanic eruption. As a result of analyzing the PM10 and PM2.5 concentrations in the Busan for two days from July 16 to 17, 2018, the Sakurajima eruption in Japan, it can be seen that there was a high increase in PM10 and PM2.5 concentrations compared to the previous day. As a result of analyzing the backward trajectory, the air mass that reached Busan at 1300 LST on July 17, 2018 has moved near the Sakurajima volcano at 1,500 m, 2,000 m, and 3,000 m. The concentration of SO4 2- in PM2.5, the concentration of all three stations in Busan showed a sharp increase from 1000 LST on July 17th. Looking at the NH4 + concentration in PM2.5, it shows a very similar variation trend to SO4 2-, and the correlation coefficient between the two components is 0.96 for Jangrimdong and Yeonsandong, and 0.85 for Busan New Port. Looking at the NO3 - concentration in PM2.5, the same high concentrations as SO4 2- and NH4 + were not observed in the afternoon of July 17th.

In this study, surface particulate matter (PM2.5) concentrations were calculated based on empirical equations using measurements of ceilometer backscatter intensities and meteorological variables taken over 19 months. To quantify the importance of meteorological conditions on the calculations of surface PM2.5 concentrations, eight different meteorological conditions were considered. For each meteorological condition, the optimal upper limit height for an integration of ceilometer backscatter intensity and coefficients for the empirical equations were determined using cross-validation processes with and without considering meteorological variables. The results showed that the optimal upper limit heights and coefficients depended heavily on the meteorological conditions, which, in turn, exhibited extensive impacts on the estimated surface PM2.5 concentrations. A comparison with the measurements of surface PM2.5 concentrations showed that the calculated surface PM2.5 concentrations exhibited better results (i.e., higher correlation coefficient and lower root mean square error) when considering meteorological variables for all eight meteorological conditions. Furthermore, applying optimal upper limit heights for different weather conditions revealed better results compared with a constant upper limit height (e.g., 150 m) that was used in previous studies. The impacts of vertical distributions of ceilometer backscatter intensities on the calculations of surface PM2.5 concentrations were also examined.

This research investigated the characteristics of fine particle concentration and ionic elements of PM2.5 during sea breeze occurrences during summertime in Busan. The PM10 and PM2.5 concentrations of summertime sea breeze occurrence days in Busan were 46.5 ㎍/㎥ and 34.9 ㎍/㎥, respectively. The PM10 and PM2.5 concentrations of summertime non-sea breeze occurrence days in Busan were 25.3 ㎍/㎥ and 14.3 ㎍/㎥, respectively. The PM2.5/PM10 ratios of sea breeze occurrence days and non-sea breeze occurrence days were 0.74 and 0.55, respectively. The SO4 2-, NH4 +, and NO3 - concentrations in PM2.5 of sea breeze occurrence days were 9.20 ㎍/㎥, 4.26 ㎍/㎥, and 3.18 ㎍/㎥ respectively. The sulfur oxidation ratio (SOR) and nitrogen oxidation ratio (NOR) of sea breeze occurrence days were 0.33 and 0.05, respectively. These results indicated that understanding the fine particle concentration and ionic elements of PM2.5 during sea breeze summertime conditions can provide insights useful for establishing a control strategy of urban air quality.

This study investigates the characteristics of diurnal, seasonal, and weekly roadside and residential concentrations of PM10 and PM2.5 in Busan, as well as relationship with meteorological phenomenon. Annual mean PM10 and PM2.5 concentrations in Busan were 44.2 ㎍/m3 and 25.3 ㎍/m3, respectively. The PM2.5/PM10 concentration ratio was 0.58. Diurnal variations of PM10 and PM2.5 concentrations in Busan were categorized into three types, depending on the number of peaks and times at which the peaks occurred. Roadside PM10 concentration was highest on Saturday and lowest on Friday. Residential PM10 concentration was highest on Monday and lowest on Friday. Residential PM2.5 concentration was highest on Monday and Tuesday and lowest on Friday. PM10 and PM2.5 concentrations were highest on Asian dust and haze, respectively. The results indicate that understanding the spaciotemporal variation of fine particles could provide insights into establishing a strategy to control urban air quality.

Asthmatics are more susceptible to fine particulate matters (PM2.5), compared to the general population. It has been reported that indoor PM2.5 is mainly generated by combustion of fossil fuels, meat or fish In particular, asthmatics are known to be more susceptible to indoor PM2.5 because 65 ∼ 95% of child or adult asthmatics stay inside the house. Thus, understanding the association between indoor activity patterns and variations in indoor PM2.5 levels is important. The purpose of this study is to determine the distribution of hourly indoor PM2.5 concentrations in asthmatics’ homes, and to evaluate its association with pan-frying cooking activity patterns, the most common PM2.5 emission related activity. From November 2017 to February 2018, real-time PM2.5 concentrations were measured in the living room of each asthmatic’s house (n = 35) for three weeks at 1 minute intervals. At the same time, self-reported daily activity patterns, hourly proportion (%) of cooking activities, were also recorded every hour over three weeks for each patient. In this study, we provided quantitative evidence that the distribution patterns of indoor hourly PM2.5 concentrations were associated with indoor cooking activities, especially in the homes of adult asthmatics. In addition, we observed that PM2.5 emitted by pan-frying could maintain even over up to 2 hour lagtime.

The number concentrations and the water soluble ionic concentrations of PM2.5 have measured at Gosan site in Jeju, Korea, from March 2010 to December 2010, to clarify their characteristics. PM2.5 number concentrations vary from 22.57 to 975.65 particles/㎝3 with an average value of 240.41 particles/㎝3, which have been recorded evidently high in spring season as compared with those in other season. And the concentrations in small size ranges are greatly higher than those in large size ranges, so the number concentration in the size range 0.25∼0.45 ㎛ has more than 94% of the total number concentration of PM2.5. The major ionic components in PM2.5 are SO4 2-, NH4 + and NO3 -, which are mainly originated from anthropogenic sources, on the other hand, the concentrations of Cl-, K+, Ca2+ and Mg2+ are recorded relatively lower levels. The concentrations of the major ionic components are very high in spring season, but the concentration levels of the other components are recorded significantly high in winter season. On the other hand, in summer season, the lowest concentration levels are observed for overall components as well as the sum of them. The concentration ratios of nss-SO4 2-/SO4 2- and nss-Ca2+/Ca2+ are 98.1% and 88.9%. And the concentration ratio of SO4 2-/NO3 -(3.64) is greatly higher than the value in urban area due to no large NOx emission sources in the measurement. In addition, the correlation and the factor analysis for the number and the ionic concentrations of PM2.5 are performed to identify their sources. From the Pearson correlation analysis and the factor analysis, it can be suggested that the smaller parts(<0.5 ㎛) of PM2.5 is contributed by anthropogenic sources, but the sources of the remaining larger parts of PM2.5 are not able to be specified sources in this study.

The purpose of this study was to analyze the characteristics of spacio-temporal variation for PM10 and PM2.5 concentration in Busan. PM10 concentration has been reduced for the past three year and exceeded 50 ㎍/㎥ of the national standard for PM10. PM2.5 concentration showed gradual decrease or stagnant trends and exceeded the U.S. EPA standard. Seasonal analysis of PM10 and PM2.5 suggested spring>winter>fall>summer(by Asian dust) and winter>spring>summer>fall(by anthropogenic effect) in the order of high concentration, respectively. Characterization of diurnal variations suggests that PM10 levels at all the three sites consistently exhibited a peak at 1000LST and PM2.5 at Jangrimdong experienced the typical PM2.5 diurnal trends such that a peak was observed in the morning and the lowest level at 1400LST. In the case of seasonal trends, the PM2.5/PM10 ratio was in the order of summer>winter>fall>spring at all the study sites, with a note that spring bears the lowest concentration. During AD events, PM10 concentration exhibited the highest level at Jangrimdong and the lowest level at Joadong. And PM2.5/PM10 ratio in AD was 0.16∼0.28.

This study summarizes the relations among PM2.5 concentration, water-soluble ions concentration, metallic element Components characteristics and SPSS in negative ion and metallic element of PM2.5 particle in Miryang.(By the urban area, the industrial complex area and the suburban area according to the season) PM2.5 concentration of total 72 samples collected from 3 sites turned out to range from 3.47 to 34.7 μg/m3 , and the average concentration was the suburban area-the kin nup(16.00 μg/m3 ) > the urban area-the roof of the old Miryang university(10.32 μg/m3 ) > the industrial complex-Sapo industrial complex(10.29 μg/m3 ). In particular, the suburban area had PM2.5 concentration 1.5 times those of urban area, industrial complex. It was thought although the site was suburban and farm-side without pollutants around, it had a higher concentration value influenced by external factors including the brickyard, small-scale incinerator, driving range construction, construction on the Daegu-Busan express and the widening of the four-lane road between Miryang-Anyang nearby. As for water-soluble ions among PM2.5 particle collected in Miryang area, SO42− accounted for 60% and NO3−, was 30% in spring and summer. And NO3− accounted for 50% and SO42− was 35% in fall and winter. The AI value of metallic Components among PM2.5 particle collected in Miryang area had a high value influenced by the apartment complex construction and the extension work of road. The industrial complex area had Zn concentration 3 times, and Fe concentration 2 times those of urban area and suburb area. When it comes to the relation with metallic elements in urban area, the highest coefficient of correlation was between Cr-Fe with 0.85, and Pb-Cd turned out in the reverse correlation. Among metallic elements, the coefficients of correlation between Zn and Cr, Mn, Fe, NI were high in industrial complex area. The highest coefficient of correlation was between Mn-Zn with 0.88, meanwhile Ni and Cu, Cd turned out in the reverse correlation in the suburb area. These coefficients of correlation are attributed to the difference in pollutant sources, rather than difference in pollutant and non-pollutant.