• 한국대기환경학회지
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• 제28권3호
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• pp.325-347
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• 2012

Long-term air and weather data monitored during the period of 2000 to 2009 were analyzed to quantitatively estimate the precipitation scavenging and wind dispersion contributions of ambient $PM_{10}$ and $NO_2$ in Korea. Both air pollutants and meteorological data had been respectively collected from 120 stations by the Ministry of Environment and from 20 weather stations by the Korea Meteorological Administrations in all parts of Korea. To stochastically identify the relation between a meteorological factor and an air pollutant, we initially defined the SR (scavenging ratio) and the DR (dispersion ratio) to separately calculate the precipitation and wind speed effects on the removal of a specific air pollutant. We could then estimate the OSC (overall scavenging contribution) and the ODC (overall dispersion contribution) with considering sectoral precipitation and wind speed probability density distributions independently. In this study, the SRs for both $PM_{10}$ and $NO_2$ were generally increased with increasing the amounts of precipitation and then the OSCs for $PM_{10}$ and $NO_2$ were estimated by 22.3% and 15.7% on an average in Korea, respectively. However, the trend of the DR was quite different from that of SR. The DR for $PM_{10}$ was increased with increasing wind speed up to 2.5 m/s and further the DR for $NO_2$ showed a minimum in the range of $1<WS{\leq}1.5$. The ODCs for $PM_{10}$ and $NO_2$ were estimated by 14.9% and 1.0% in Korea, respectively. Finally, we have also provided an interesting case study observed in Seoul.

• 암석학회지
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• 제18권4호
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• pp.279-291
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• 2009

라돈은 원자번호 86의 화학원소로서 무색, 무취, 무미의 천연에서 존재하는 방사성 불활성기체이며 암석 및 토양 내 라듐의 방사능붕괴에 의해 생성되어, 주로 토양의 공극 중 가스 상태로 분포된다. 본 연구에서는 부산시 금정구의 금정산에 분포하는 화강암 잔류 토양에서 라돈 농도의 장기적 변화 특성과 이러한 변화에 영향을 미칠 수 있는 요인들로서 대기 온도, 강수, 토양 온 습도에 대한 영향을 분석하였다. 챔버와 튜브를 토양 내 설치하는 두 종류의 In-situ 모니터링 방식으로 토양 가스 내 라돈 농도를 정기적으로 측정하고, 그 효율성을 검토하였다. 토양 가스 중 라돈의 농도는 여름철에 가장 높게 측정되며, 겨울철에 가장 낮게 측정된다. 토양 내부 온도와 대기 온도의 변화가 이러한 라돈의 장기적 변화에 가장 크게 영향을 미치며, 양의 상관관계를 보인다. 대기 중 온도와 토양 내 온도 차에 의한 대기와 토양 내 공기의 순환이 주된 변화 요인으로 분석되었다. 그러나 다른 요인들(강수, 토양 습도)은 라돈 농도의 장기적 변화에 미치는 영향은 상대적으로 낮게 나타났다.

• 한국터널지하공간학회 논문집
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• 제17권5호
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• pp.523-531
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• 2015

수도권에 있는 4개 도로터널을 선정해 오전 7시부터 오전 9시까지 미세먼지와 벤젠을 측정한 결과 PM10은 $111{\sim}268{\mu}g/m^3$으로 연간 대기환경기준치인 $50{\mu}g/m^3$을 2~5배 이상 초과하였고 PM2.5는 $35{\sim}65{\mu}g/m^3$으로 대기환경기준치인 $25{\mu}g/m^3$을 1.5배~2.5배 초과 하였다. 벤젠의 경우 300~500 ppb로 나타나 대기환경기준치인 1.5 ppb의 200~330배 초과하였다. 국내 장대터널에서 4개월 연속 측정한 결과 PM10의 경우 $30{\sim}400{\mu}g/m^3$으로 나타났고 Bag filter를 이용한 PM10의 제거효율은 97% 이상으로 나타나 향후 터널 내 대기질 개선에 기여할 것으로 판단된다. 벤젠의 경우 250~350 ppb로 측정되었다.

• 에너지공학
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• 제26권4호
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• pp.45-56
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• 2017

Coal power plants produce electricity for the nation's power grid, but they also produce more hazardous air emissions than any other industrial pollution sources. The quantity is staggering, over 386,000 tons of 84 separate hazardous air pollutants spew from over 400 plants in 46 states. In South Korea also, annual coal ash generation from coal-fired power plants were about 6 million tons in 2015. Pollutants containing particulate matter 10, 2.5 (PM10, PM2.5), heavy metals and dioxins from coal-fired power plant. The emissions threaten the health of people who live near these power plants, as well as those who live hundreds of miles away. These pollutants that have long-term impacts on the environment because they accumulate in soil, water and animals. The present study is to investigate the physical and chemical characteristics of coal-fired power plant fly ash and bottom ash contains particulate matter, whose particulate sizes are lower than $PM_{10}$ and $PM_{2.5}$ and heavy metals. There are wide commercial technologies were available for monitoring the PM 2.5 and ultra-fine particles, among those carbonation technology is a good tool for stabilizing the alkaline waste materials. We collected the coal ash samples from different coal power plants and the chemical composition of coal fly ash was characterized by XRF. In the present laboratory research approach reveals that potential application of carbonation technology for particulate matter $PM_{10}$, $PM_{2.5}$ and stabilization of heavy metals. The significance of this emerging carbonation technology was improving the chemical and physical properties of fly ash and bottom ash samples can facilitate wide re use in construction applications.

• 대한원격탐사학회지
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• 제36권2_1호
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• pp.121-137
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• 2020

동아시아 지역은 최근 인구급증과 경제성장으로 인해 화석연료의 사용이 증가함에 따라 이로 인한 대기오염물질 배출이 증가하여 대기질이 점차 악화되고 있다. 본 연구에서는 OMI (Ozone Monitoring Instrument) 위성 자료와 국가 대기오염물질 배출량 자료(National Emission Inventory)를 활용하여 동아시아의 대기현황 및 우리나라의 대기질에 국내외 배출량이 미치는 영향을 분석하고 이를 기반으로 미래 배출량을 추정하였다. 2005년부터 2015년까지 동아시아의 NO₂, SO₂ 농도를 분석한 결과, 두 물질 모두 NEC (North East China), SEC(South East China), SMA (Seoul Metropolitan Area) 순으로 높았다. SO₂는 우리나라와 중국의 편차가 크게 나타나NEC 지역은 SMA보다 1.63배 높았다. 농도비와 배출비 분석을 통해 국외 배출원이 우리나라 대기환경에 미치는 영향을 간접적으로 파악할 수 있었는데, NO₂/SO₂ 농도비는 우리나라와 중국 모두 2013년에 가장 높았고, SMA의 NO_x/SO_x 배출비는 2013년 이후 22% 이상 증가했다. 국내 배출량은 지속적으로 감소했으나 농도-배출량 비율(NO₂/NO_x, SO₂/SO_x)은 점차 증가하는 것으로 분석되었으며, 이는 곧 국내 배출량 외에 다른 요인(국외 배출원, 체류시간 변화 등)이 우리나라 수도권의 대기질에 영향을 주고 있다는 것으로 해석된다. SMA의 미래 배출량은 2025년에 NO_x, SO_x가 각각 296.2, 39.0 kton, 2035년에는 284.4, 33.8 kton 만큼 배출될 것으로 예측되었다. 본 연구에서는 공간적 제약을 받지 않는 위성자료의 장점을 이용하여 농도와 배출량 사이의 유의미한 결과를 도출하였으며, 이 연구에서 사용된 위성관측 농도와 배출량 간의 상호비교 분석방법론과 GEMS(Geostationary Environment Monitoring Spectrometer) 위성 산출물을 활용하여, 향후 국내 대기질 영향요인을 파악하기 위한 국외 발 대기오염물질 기여도 분석과 배출 인벤토리 보완을 위한 기초 자료를 제시할 수 있을 것으로 기대한다.

• 한국대기환경학회지
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• 제31권3호
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• pp.223-238
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• 2015

The $PM_{2.1}$ was collected by LVCI (low volume cascade impactor) during Group-A Period (September 1990 to December 2012) and the $PM_{2.5}$ was collected by HVAS (high volume air sampler) during Group-B Period (September 2009 to April 2012) at Kyung Hee University, Global Campus located on the boarder of Yongin and Suwon. The 8 water-soluble ions ($Na^+$, $NH_4{^+}$, $K^+$, $Mg^{2+}$, $Ca^{2+}$, $Cl^-$, $ NO_3{^-}$, and $SO_4{^{2-}}$) were analyzed by IC, and the 14 inorganic elements (Al, Mn, Si, Fe, Cu, Pb, Cr, Ni, V, Cd, Ba, Zn, Ti, Ag) were analyzed by XRF and ICP-AES after performing proper pre-treatments of each sample filter. The average total mass fractions of $SO_4{^{2-}}$, $NO_3{^-}$, and $NH_4{^+}$+ to $PM_{2.5}$ samples during Group-B Period were 0.39 in normal days, 0.44 in haze days, and 0.27 in Asian dust days, respectively; however, the average total mass fractions of Al, Fe, and Si to $PM_{2.5}$ mass were 0.043 in normal days, 0.021 in haze days, and 0.036 in Asian dust days, respectively. Especially the concentration of Pb was significantly decreased during Group-B Period rather than during Group-A Period, while Cr and Ni was increased during Group-B Period. In this study, we intensively compared the annual and seasonal patterns of major chemical species among normal days, haze days, and Asian dust days. Further we developed mass fraction profiles by collecting episode cases of haze days and Asian dust days, which were consisting of 22 chemical species. Those profiles are considered to be useful when applying various receptor models and establishing air quality management plans near future.

• 한국해양학회지:바다
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• 제24권1호
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• pp.79-91
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• 2019

동해 남서부 해역의 해양생태계에 큰 영향을 미치는 연안용승의 변화를 파악하기 위해 1948년 1월부터 2018년 9월까지의 NCEP/NCAR 재분석자료를 이용하여 용승지수를 계산하였다. 평균 용승지수는 4월부터 8월까지 용승이 발생하는 양의 값이 보이며 7월에 최대 값이 나타났다. 용승지수의 장기 변화는 6월과 7월에 통계적으로 유의미한 감소추세가 나타났으며, 5, 6, 7월 용승지수의 합도 통계적으로 유의미한 감소 경향을 보였다. 한반도 주변의 대기압 분석을 통하여 용승지수의 변화 추세는 동해남부해역을 기준으로 북서쪽 영역($35-50^{\circ}N$, $114-129^{\circ}E$)의 기압 변화 추세의 영향이라는 것을 밝혔다. 최근 7년간(2012년-2018년)의 용승지수 분석결과 2017년 7월에 용승지수가 표준편차의 3배 이상 높은 것을 발견하였다. 이것은 중국 북동쪽 지방에 평년과 다르게 저기압이 발달하였고 북태평양고기압이 일본과 대만 사이까지 영향을 주어 동해 남부에 큰 기압 차이가 발생했기 때문이었다. 반면에 평년에 비하여 북쪽의 저기압과 남쪽의 고기압의 영향이 적었던 2018년 7월은 용승지수가 음의 값이었다. 동해남부 연안용승지수는 기후변화에 따라 감소하는 경향을 보이고 경년변동이 커서 생태환경에 대한 영향을 파악하기 위해서는 지속적인 모니터링이 필요하다.

• 한국환경보건학회지
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• 제44권5호
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• pp.421-432
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• 2018

Objectives: In this study, we started to develop an indoor garden integrated IoT solution based on IAQ (indoor air quality) and interconnection with an environmental database for smart management of indoor gardens. The purpose of this study was to develop and apply an integrated solution for customized air purification from an indoor garden through big data analysis using IoT technology. Methods: An IoT-based IAQ monitoring system was established in three households within a new apartment building. Based on real-time and long-term data collected, $PM_{2.5}$, $CO_2$, temperature, and humidity changes were compared to those of indoor garden applications and the analyzed results were indexed. Results As a result of the installation, all three households had no results exceeding the standard for indoor air pollution on average $PM_{2.5}$ and $CO_2$ indices. In the case of indoor garden installation, the IAQ index increased to the "Good" section after the installation, and readings in the "Bad" section shown before the installation disappeared. The comfort index also did not dip into the "Uncomfortable" section, where it had been preinstallation, and significantly lowered the average score from "Uncomfortable for sensitive groups" to "Good". Overall, the IAQ composite index for the generation of installations decreased the "Good" interval, but "Bad" did not appear. Conclusions In this study on developing an integrated solution for IAQ based on IoT indoor gardens, big data was analyzed to determine IAQ and comfort indexes and an IAQ composite index. Through this process, it became understood that it is necessary to monitor IAQ based on IoT.

• 한국환경보건학회지
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• 제39권4호
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• pp.346-353
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• 2013

Objectives: The goal of this study is to identify the distribution of the foliar fluorine content of vegetation surrounding the area where hydrofluoric acid was accidently released in Gumi, Gyeongsangbuk-do on September 27, 2012. In addition, it also aims to estimate the concentration of hydrogen fluoride in the air on the day of the accident. Methods: Samples of plant leaves were collected on October 7, 2012 within 1 km from the site where the accident occurred. These samples were analyzed for soluble fluorine ion with an ion selective electrode. The ambient concentration of hydrogen fluoride was calculated using the fluoride content in the plant via the dose-rate equation (${\Delta}F$=KCT). Results: The arithmetic and geometric means of the concentrations were 2158.2 and 1183.7mg F $kg^{-1}$ for leaves and, 2.4 and 1.1 ppm HF for the air, respectively. The highest concentration of hydrogen fluoride in the air was 14.7 ppm, which is higher than the maximum concentration reported by the government (1 ppm) and the exposure limit (ceiling, 3 ppm). The concentrations of both fluorine and hydrogen fluoride decreased with increasing distance from the accident site and showed a significant decrease outside of a 500m radius from the site (p <0.05). Conclusions: The area around the accident site was highly polluted with hydrogen fluoride according to the results of this study. Considering the persistency of hydrogen fluoride in the environment, long-term monitoring and environmental impact assessment should be pursued.

• Environmental Analysis Health and Toxicology
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• 제29권
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• pp.12.1-12.8
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• 2014

Objectives Cohort studies of associations between air pollution and health have used exposure prediction approaches to estimate individual-level concentrations. A common prediction method used in Korean cohort studies is ordinary kriging. In this study, performance of ordinary kriging models for long-term particulate matter less than or equal to $10{\mu}m$ in diameter ($PM_{10}$) concentrations in seven major Korean cities was investigated with a focus on spatial prediction ability. Methods We obtained hourly $PM_{10}$ data for 2010 at 226 urban-ambient monitoring sites in South Korea and computed annual average $PM_{10}$ concentrations at each site. Given the annual averages, we developed ordinary kriging prediction models for each of the seven major cities and for the entire country by using an exponential covariance reference model and a maximum likelihood estimation method. For model evaluation, cross-validation was performed and mean square error and R-squared ($R^2$) statistics were computed. Results Mean annual average $PM_{10}$ concentrations in the seven major cities ranged between 45.5 and $66.0{\mu}g/m^3$ (standard deviation=2.40 and $9.51{\mu}g/m^3$, respectively). Cross-validated $R^2$ values in Seoul and Busan were 0.31 and 0.23, respectively, whereas the other five cities had $R^2$ values of zero. The national model produced a higher cross-validated $R^2$ (0.36) than those for the city-specific models. Conclusions In general, the ordinary kriging models performed poorly for the seven major cities and the entire country of South Korea, but the model performance was better in the national model. To improve model performance, future studies should examine different prediction approaches that incorporate $PM_{10}$ source characteristics.