• Korean Journal of Remote Sensing
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• v.33 no.6_1
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• pp.981-992
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• 2017

We, for the first time, retrieved tropospheric nitrogen dioxide ($Trop.NO_2$) vertical column density (VCD) from ground-based instrument, Pandora, using the optical density fitting based on Differential Optical Absorption Spectroscopy (DOAS)in Seoul for the period from May 2014 to December 2014. The $Trop.NO_2$ VCDs retrieved from Pandora were compared with those obtained from Ozone Monitoring Instrument (OMI). A correlation coefficient (R) between those retrieved from Pandora and those obtained from OMI is 0.55. To compare with surface $NO_2$ VMRs obtained from in-situ, Trop. $NO_2$ VCDs retrieved from Pandora and those obtained from OMI are converted into $NO_2$ VMRs in boundary layer (BLH $NO_2$ VMRs) using data measured from Atmospheric Infrared Sounder (AIRS). Surface $NO_2$ VMRs obtained from in-situ range from 5.5 ppbv to 61.5 ppbv. BLH $NO_2$ VMRs retrieved from Pandora and OMI range from 2.1 ppbv to 44.2 ppbv and from 0.9 ppbv to 11.6 ppbv, respectively. The range of BLH $NO_2$ VMRs retrieved from OMI is narrower than that of BLH $NO_2$ VMRs retrieved from Pandora and surface $NO_2$ VMRs obtained from in-situ. There is a batter correlation between surface $NO_2$ VMRs obtained from in-situ and BLH $NO_2$ VMRs retrieved from Pandora (R= 0.50)than the correlation between surface $NO_2$ VMRs obtained from in-situ and BLH $NO_2$ VMRs retrieved from OMI (R = 0.36). This poor correlation is thought to be due to the lower near-surface sensitivity of the satellite-based instrument (OMI) than Pandora, the ground-based instrument.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.11a
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• pp.293-294
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• 2000

실내 이산화질소의 주요 오염원으로는 취사 및 보조난방기구 등의 연료 연소와 실외의 이산화질소가 환기 및 공기의 흐름에 의한 실내로 유입되는 경우를 들 수 있다. 이산화질소는 부식성이 있는 강한 산화 가스로써 대기중에 존재하면 숨이 막히고 자극적인 코를 찌르는 냄새를 유발한다. 일반적으로 호흡에 의해 이산화질소 노출농도의 80∼90%가 체내로 흡수될 수 있으며, 많은 연구에서 2ppm 이상의 이산화질소 농도가 건강한 성인의 폐기능을 약화시키거나 상당히 변화시킬 수 있다고 밝혀졌다(WHO, 1987). (중략)

• Korean Journal of Remote Sensing
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• v.30 no.6
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• pp.703-708
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• 2014

$NO_2$ vertical profiles were retrieved via ground based MAX-DOAS measurements for the summer period in 2006 in Beijing, one of the megacities in the Northeast Asia. Large portion of $NO_2$ load was observed at the 0-1 km layer. We found that $NO_2$ rapidly decreases up to the altitude of 3 km. In addition, the retrieved $NO_2$ mixing ratios within 0-1 km layer were compared with those observed at the surface by in-situ monitor. The correlation coefficient (R) between $NO_2$mixing ratios within 0-1 km layer and those at the surface was calculated to be 0.7. The major causes of such discrepancy are thought to be both differences in measured areas and rapid decrease in $NO_2$ mixing ratio with height.

• Environmental and Resource Economics Review
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• v.6 no.1
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• pp.111-128
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• 1996

본 연구는 대기오염물질인 이산화질소와 인체의 호흡기질환과의 반응도를 실증분석하고, 이 반응도를 이용해 이산화질소의 대기오염으로 인한 사회적 비용을 계산하는 것이다. 사람들이 대기오염에 노출되었을 때 발생하는 질환의 피해를 측정하기 위하여 손실함수(damage function)를 설정하고, 이를 회귀분석기법(regression technique)을 이용해 추정한 결과 이산화질소는 호흡기질환에 상당히 유의적인 영향을 미쳤고, 1994년 한해 동안 배출된 이산화질소량이 발생시킨 사회적 비용은 약 8조 2천 억원이었다.

• Korean Journal of Remote Sensing
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• v.33 no.2
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• pp.135-147
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• 2017

We, for the first time, estimated daily and monthly surface nitrogen dioxide ($NO_2$) volume mixing ratio (VMR) using three regression models with $NO_2$ tropospheric vertical column density (OMIT-rop $NO_2$ VCD) data obtained from Ozone Monitoring Instrument (OMI) in Seoul in South Korea at OMI overpass time (13:45 local time). First linear regression model (M1) is a linear regression equation between OMI-Trop $NO_2$ VCD and in situ $NO_2$ VMR, whereas second linear regression model (M2) incorporates boundary layer height (BLH), temperature, and pressure obtained from Atmospheric Infrared Sounder (AIRS) and OMI-Trop $NO_2$ VCD. Last models (M3M & M3D) are a multiple linear regression equations which include OMI-Trop $NO_2$ VCD, BLH and various meteorological data. In this study, we determined three types of regression models for the training period between 2009 and 2011, and the performance of those regression models was evaluated via comparison with the surface $NO_2$ VMR data obtained from in situ measurements (in situ $NO_2$ VMR) in 2012. The monthly mean surface $NO_2$ VMRs estimated by M3M showed good agreements with those of in situ measurements(avg. R = 0.77). In terms of the daily (13:45LT) $NO_2$ estimation, the highest correlations were found between the daily surface $NO_2$ VMRs estimated by M3D and in-situ $NO_2$ VMRs (avg. R = 0.55). The estimated surface $NO_2$ VMRs by three modelstend to be underestimated. We also discussed the performance of these empirical modelsfor surface $NO_2$ VMR estimation with respect to otherstatistical data such asroot mean square error (RMSE), mean bias, mean absolute error (MAE), and percent difference. This present study shows a possibility of estimating surface $NO_2$ VMR using the satellite measurement.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.313-314
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• 2001

현재까지 국내에서 주로 사용되고 있는 이산화질소 측정법은 Saltzman법, Jacobs-Hochheiser법과 같은 실험실적 분석방법과 연속측정이 가능한 자동 Saltzman법, 화학발광법 등이 대표적이다. (대기오염연구회, 2000) 그러나, 이러한 측정 방법은 상대적으로 기술적, 경제적 및 시ㆍ공간적인 제약에 의해 광범위한 지역에 대한 이산화질소 오염 현상을 규명하기 어렵다. 그러나, 분자확산에 기초하여 대기 중의 이산화질소만을 선택적으로 채취하는 passive sampler법은 전원 및 기타장비, 기술 등이 필요치 않아 광범위한 지역에 대한 동시 측정의 목적으로 최근 관심이 증대하고 있다.(UNEP/WHO, 1994) (중략)

• Journal of the Microelectronics and Packaging Society
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• v.13 no.4
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• pp.65-70
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• 2006

Carbon nanotubes (CNT) grown by chemical vapor deposition (CVD) and plasma enhanced chemical vapor deposition (PECVD), and followed by annealing at $400{\sim}500^{\circ}C$ were investigated for gas sensing under 1.5ppm $NO_{2}$ concentration at an operating temperature of $200^{\circ}C$. The electrical resistance of CNT sensor decreased with temperature, indicating a semiconductor type. The resistance of CNT sensor decreased with $NO_{2}$ adsorption. It was found that the sensitivity of sensor was affected by humidity and decreased under microwave irradiation for 3 minutes. The CNT sensor grown by PECVD had a higher sensitivity than that of CVD.

• Applied Chemistry for Engineering
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• v.9 no.7
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• pp.1085-1089
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• 1998

The well-established nitric acid-sulfuric acid mixed acid process for the nitration of aromatic compounds has serious problems due to the large amount of waste acids and severe reaction conditions. Nitration of toluene can be conducted using nitrogen dioxide and ozone instead of mixed acid. We found that conc. nitric acid increased the reactivity as catalyst and the amount of nitrogen dioxide controlled the extent of nitration. Dinitration proceeded to more than 92 mole % conversion within 2 hr at $0^{\circ}C$ with 6 eq. of nitrogen dioxide and 2 eq./hr of ozone flow. Toluene completed mononitration within 30 min using 3 eq. of nitrogen dioxide, 3 eq. of nitric acid, and 1.5 eq./hr of ozone flow. As a clean process of aromatic nitration, this method is expected to replace the present process which causes the environmental problems.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.449-450
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• 2001

주거공간에서는 특히 연소시 발생되는 오염물질이 많이 존재하며 이러한 오염 물질들은 두통과 호흡기계를 자극하는 등 인체 건강에 유해한 영향을 줄 수 있다. 실내 이산화질소의 주요 오염원으로는 취사 및 보조난방기구 등의 연료 연소와 실외의 이산화질소가 환기 및 공기의 흐름에 의해 실내로 유입되는 경우를 들 수 있다. 이산화질소는 부식성이 있는 강한 산화 가스로써 대기중에 존재하면 숨이 막히고 자극적인 코를 찌르는 냄새를 유발하며 이러한 악취의 역치는 0.11∼0.22ppm에서 존재한다(WHO, 1987). (중략)

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.11a
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• pp.299-301
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• 2000

대기환경기준 설정항목은 아황산가스를 비롯하여 이산화질소, 일산화탄소, 오존, 총부유먼지(TSP), 미세먼지(PM10), 납 6개항목이며, 이들 오염물질 중 아황산가스와 총부유먼지는 1990년대 급격히 오염도가 개선되는 경향을 보이고 있다. 일산화탄소와 납의 경우에도 환경기준을 대부분의 지역에서 만족하고 있으나 이산화질소와 오존은 개선되는 양상을 보이지 않고 있으며 도리어 오존의 고농도 발생현상은 증가 추세를 보이고 있다. (중략)