최근 동아시아 지역에서 인위적 배출량의 감소에도 불구하고, 봄철에 한국에서는 잦은 연무 사례가 발생하고 있 다. 북동 태평양에서 자주 발생하는 대기 블로킹은 지구 규모 대기 변동과 동아시아 지역의 서풍 기류를 정체시키기도 한다. 2019년 3월 동아시아 지역의 온난하고 정체적인 종관 기상 특성이 알래스카 대기 블로킹이 발생한 6-7일 후에 일어나고 있었다. 특히, 2019년 3월 18-24일에 발생한 알래스카 대기 블로킹은 3월 25-28일 동안 한국에서 일평균 미 세먼지(particulate matter; PM10) 질량농도가 50 μg m−3을 넘는 고농도 PM10 연무 사례가 발생하는 데 영향을 미치고 있 었다. 한편, WRF-Chem 모델을 활용하여 한국의 고농도 PM10 연무 사례에 대한 인위적 배출의 장거리 수송 기여도는 30-40%를 나타내고 있었다. PM10 에어로졸 구성 성분인 황산염, 질산염, 암모늄, 블랙 카본, 유기 탄소, 기타 무기물의 장거리 수송 기여도는 각각 10-15, 20-25, 5-10, 5-10, 5-10, 15-20%를 나타내었다. 질소 산화물이 온난하고 정체적인 대기에서 암모늄과의 광화학 반응으로 형성된 질산암모늄은 한국의 고농도 PM10 연무 사례에 대한 장거리 수송 기여도 가 PM10 에어로졸 중 가장 큰 비중을 나타내고 있었다.

Actively promoting pro-environmental behavior not only can effectively reduce degree of environmental pollution, but also is a necessary step for the sustainable development of social economy. Although scholars have had in-depth discussions on influencing factors and promoting mechanism of pro-environmental behavior, research concerning effects of external situational factors on pro-environmental behavior is relatively insufficient, and impacts of natural environment conditions, say, air quality is seldom considered. With the development of China’s economy, industrial growth and advancing urbanization, air quality continues to deteriorate when acid rain, haze and other harsh weathers occur more frequently, seriously affecting and endangering people’s health and daily life. So, does air quality also affect people’s pro-environmental behavior? And if so, how is that impact? What is the internal mechanism? Based on the above questions, this paper designed two studies, in combination with spatial distance, and explored the impacts of air quality on Chinese residents’ pro-environmental behavior. It also demonstrated the internal impact mechanism from the perspective of environmental emotion, and expanded research on impact mechanism of air quality on pro-environmental behavior.

본 논문에서는 패치 반복을 이용하여 대기광 추정을 통해 개선된 안개 제거 방법을 제안한다. 기존의 안개 제거 방법은 영상 내에 인공적인 빛이나 밝은 물체가 있는 경우 대기광 추정 시 오차가 발생 한다. 이 방법은 안개 영상의 화소들 중 가장 밝은 값으로 대기광을 추정하기 때문이다. 이러한 문제를 해결하기 위하여, 제안하는 방법은 패치 쌍 사이의 안개 양의 차이점을 이용한다. 패치 쌍은 안개의 양이 다르지만 유사한 패턴을 가지고 있기 때문에, 대기광이 동일하다고 가정할 수 있다. 이러한 특성을 통해 각 패치 쌍으로 구한 대기광에 다른 가중치를 부여함으로써 대기광을 추정할 수 있다. 실험을 통해 제안하는 방법이 기존의 방법보다 안개 제거 성능에서 우수함을 확인하였다.

Every September and October, entities in the palm oil and timber industries in Indonesia conduct slash-and-burn activities over peat land, causing transboundary ‘haze’ pollution. This paper analyzes the effectiveness of various legal solutions to tackle the transboundary haze pollution. There are mainly three forms of international law, customary international law, the ASEAN Agreement on Transboundary Haze 2002 and Singapore’s extraterritorial Transboundary Haze Pollution Act 2014. Their effectiveness will be measured by Indonesia’s increasing willingness to take domestic enforcement measures. This paper argues that the ASEAN Agreement is the primary instrument despite its lack of sanctions as it is neutral, non-confrontational and consistent with the ‘ASEAN way.’ The Singapore Act plays a complementary role, yet its invocation may strain relations between Singapore and Indonesia. Ultimately, the three forms of international law serve as a normative and facilitative source in nudging Indonesia to take more stringent domestic enforcement measures.

2011-2015년 동안 한국 중부 태안과 청주 강내의 배경 관측지점에서 측정한 PM10, PM2.5 질량 농도를 분석하 였다. 황사 사례를 제외한 PM10 질량 농도의 계절변동에서 겨울-봄 동안 높은 농도는 서풍 기류에 의한 영향이 반영 되고 있으며, 여름에는 북태평양 기단과 잦은 강수로 낮은 수준을 보이고 있었다. 따라서, 일평균 PM10 질량 농도 81μg m-3 (미세먼지 예보 ‘약간 나쁨’ 이상) 이상의 사례도 겨울-봄 동안에 발생이 많으며, 특히 중국 동부 배출원에 가까 운 태안에서 더 많은 사례가 발생하고 있었다. 인위적으로 발생한 연무는 입경 2.5 μm 미만 입자의 구성 비율이 높다. 천리안 위성의 밝기온도차 분석에서 대기와 입자가 작은 연무는 −0.5 o K 이상에서 관측된다. 2011-2015년 동안 태안과 청주 강내에서 관측한 연무 사례일의 PM10 질량 농도와 NOAA 19 위성 밝기온도차를 분석하였다. PM10 질량 농도 는 200 μg m−3 보다 낮지만, PM2.5/PM10 질량 농도비는 0.4보다 높고 밝기온도차는 −0.3-0.5 o K 범위에 분포하고 있었 다. 그러나, PM10 질량 농도 190 μg m−3 이상인 황사 사례의 밝기온도차는 PM2.5/PM10 질량 농도비가 0.4보다 낮고, 밝기온도차는 −0.7 o K 이하의 범위에 분포하고 있었다. 이러한 연무의 밝기온도차 경계값 범위를 적용한 결과는 MODIS AOD, OMI AI의 에어로졸 분포 범위와 일치하였다.

최근 인간의 안전과 편의를 위해 무인 CCTV, 교통 모니터링, 객체 추적, 자동주행 시스템 등이 널리 사용되고 있지만 안개와 같은 자연 현상들이 영상의 색상정보를 사라지게 하여, 다양한 영상처리 알 고리즘이 적용되더라도 영상을 통한 정확한 정보 획득이 어렵다. 이러한 안개와 같이 실외에서 영상의 가 시성을 약화시키는 원인을 제거하기 위해 최근 여러 장의 영상을 사용하거나 추가적인 정보가 필요한 안 개제거 방법이 아닌 단일영상에서의 몇 가지 안개 제거 방법이 제안되고 있다. 본 연구에서는 He 등이 제안한 dark channel prior를 랩뷰(LabVIEW)에서 구현하여 영상의 안개 보정에 적용해보고 안개제거 가 중치를 조절하였을 때 안개제거의 정도를 비교하였다.

We have investigated the optical properties of the global haze on Titan from spectra recorded between 7100 and 9200Åwhere CH4 absorption bands of various intensities occur. The Titan spectra were obtained on Feb. 23, 2005 (UT), near the times of the Cassini T3 flyby and Huygens probe, using an optical echelle spectrograph (BOES) on the 1.8-m telescope at Bohyunsan Observatory in Korea. In order to derive the optical properties of the haze as a function of altitude, we developed an inversion radiative-transfer program using an atmospheric model of Titan and laboratory CH4 absorption coefficients available from the literature. The derived extinction coefficients of the haze increase toward the surface, and the coefficients at shorter wavelengths are greater than those at longer wavelengths for the 30 - 120 km altitude range, indicating that the Titanian haze becomes optically thin toward the longer wavelength range. Total optical depths of the haze are estimated to be 1.4 and 1.2 for the 7270 -7360Åand 8940 -9150Å ranges, respectively. Based on the Huygens/DISR data set, Tomasko et al. (2005) reported total optical depths of 2.5 - 3.5 at 8290Å depending on the assumed fractal aggregate particle model. The total optical depths based on our results are smaller than those of Tomasko et al., but they partially overlap with their results if we consider a large uncertainty from possible variations of the CH4 mixing ratio over Titan's disk. We also derived the single scattering albedo of the haze particles as a function of altitude: it is less than 0.5 at altitudes higher than ~150Km the average particle radius is smaller than the wavelengths, whereas near the surface, it becomes comparable or greater.

This research investigates the characteristics of metallic and ionic elements in PM10 and PM2.5 on haze day and non-haze day in Busan. PM10 concentration on haze day and non-haze day were 85.75 and 33.52 ㎍/m³ , respectively, and PM2.5 on haze day and non-haze day were 68.24 and 23.86 ㎍/m³ , respectively. Contribution rate of total inorganic water-soluble ion to PM10 mass on haze day and non haze day were 58.2% and 61.5%, respectively, and contribution rate of total water-soluble ion to PM2.5 mass on haze day and non haze day were 58.7% and 64.7%, respectively. Also, contribution rate of secondary ion to PM10 mass on haze day and non haze day were 52.1% and 47.5%, respectively, and contribution rate of secondary ion to PM2.5 mass on haze day and non haze day were 54.4% and 53.6%, respectively. AC (anion equivalents)/CE (cation equivalents) ratio of PM10 mass on haze day and non haze day were 1.09 and 1.0, respectively, and AC/CE ratios of PM2.5 mass on haze day and non haze day were 1.12 and 1.04, respectively. Also, SOR (Sulfur Oxidation Ratio) of PM10 mass on haze day and non haze day were 0.32 and 0.17, respectively, and SOR of PM2.5 on haze day and non haze day were 0.30 and 0.15, respectively. Lastly, NOR (Nitrogen Oxidation Ratio) of PM10 on haze day and non haze day were 0.17 and 0.08, respectively, and NOR of PM2.5 on haze day and non haze day were 0.13 and 0.06, respectively.

This research investigates the characteristics of meteorological variation and fine particles (PM10 and PM2.5) for case related to the haze occurrence (Asian dust, long range transport, stationary) in Busan. Haze occurrence day was 559 days for 20 years (from 1996 to 2015), haze occurrence frequency was 82 days (14.7%) in March, followed by 67 days (12.0%) in February and 56 days (10.0%) in May. Asian dust occurred most frequently in spring and least in winter, whereas haze occurrence frequency was 31.5% in spring, 29.7% in winter, 21.1% in fall, and 17.7% in summer. PM10 concentration was highest in the occurrence of Asian dust, followed by haze and haze + mist, whereas PM2.5 concentration was highest in the occurrence of haze. These results indicate that understanding the relation between meteorological phenomena and fine particle concentration can provide insight into establishing a strategy to control urban air quality.

This study introduces a novel approach to the differentiation of two phenomena, Asian Dust and haze, which are extremely difficult to distinguish based solely on comparisons of PM10 concentration, through use of the Optical Particle Counter (OPC), which simultaneously generates PM10, PM2.5 and PM1.0 concentration. In the case of Asian Dust, PM10 concentration rose to the exclusion of PM2.5 and PM1.0 concentration. The relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration were below 40%, which is consistent with the conclusion that Asian Dust, as a prime example of the coarse-particle phenomenon, only impacts PM10 concentration, not PM2.5 and PM1.0 concentration. In contrast, PM10, PM2.5 and PM1.0 concentration simultaneously increased with haze. The relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration were generally above 70%. In this case, PM1.0 concentration varies because a haze event consists of secondary aerosol in the fine-mode, and the relative ratios of PM10 and PM2.5 concentration remain intact as these values already subsume PM1.0 concentration. The sequential shift of the peaks in PM10, PM2.5 and PM1.0 concentrations also serve to individually track the transport of coarse-mode versus fine-mode aerosols. The distinction in the relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration in an Asian Dust versus a haze event, when collected on a national or global scale using OPC monitoring networks, provides realistic information on outbreaks and transport of Asian Dust and haze.