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수도권 지역 자동차 NOx 배출량의 연도별 변화추세와 원인 분석
장기원 ( Kee Won Jang ),이용미 ( Yong Mi Lee ),이대균 ( Dae Gyun Lee ),유철 ( Chul Yoo ),정용원 ( Yong Won Jung ),홍지형 ( Ji Hyung Hong ) 한국환경정책학회 2011 環境政策 Vol.19 No.4
On December 2003, Korean government legislated Special Act to improve deteriorating air pollution levels in the Seoul Metropolitan Area (SMA) and this Special Act has been in force until now. One of the main causes of air pollution was emissions from road transport in the SMA. For this reason, we analyzed NOx emission by three stages in order to analyze emission trend, policy impact and cause of emission variation from road transport. First, we estimated NOx emissions of road transport sources from2001 to 2007 using Clean Air Support System (CAPSS) and analyzed emissions trend. Next, the virtual emissions from 2001 to 2007 were calculated by number of vehicles and compared with CAPSS emission. Finally, target allowable emission targeted at 2014was analyzed to compare with CAPSS emissions. The summary of results are as follows. Total NOx emission from road transport during 2007 increased by 10 %, compare to 2001. The virtual total emission which was estimated by number of vehicles decreased by 42,528 tons due to application of various policies. Especially this significant gap indicated that emission reduction was a reflection of policy implementation of CNG buses supply. Finally, according to comparison between CAPSS emission and allowable emission, NOx emission at 2007 exceeded more than twice that of target allowable emission at 2014 and it is increasing trend every year. Therefore we need to implement various policies to reduce NOx emission in the SMA so as to attain target allowable emission at 2014.
연구논문 : 기상 모델의 초기장 및 자료동화 차이에 따른 수도권 지역의 CMAQ 오존 예측 결과 -2007년 6월 수도권 고농도 오존 사례 연구-
이대균 ( Dae Gyun Lee ),이미향 ( Mi Hyang Lee ),이용미 ( Yong Mi Lee ),유철 ( Chul Yoo ),홍성철 ( Sung Chul Hong ),장기원 ( Kee Won Jang ),홍지형 ( Ji Hyung Hong ) 한국환경영향평가학회 2013 환경영향평가 Vol.22 No.6
Air quality models have been widely used to study and simulate many air quality issues. In the simulation, it is important to raise the accuracy of meteorological predicted data because the results of air quality modeling is deeply connected with meteorological fields. Therefore in this study, we analyzed the effects of meteorological fields on the air quality simulation. This study was designed to evaluate MM5 predictions by using different initial condition data and different observations utilized in the data assimilation. Among meteorological scenarios according to these input data, the results of meteorological simulation using National Centers for Environmental Prediction (Final) Operational Global Analysis data were in closer agreement with the observations and resulted in better prediction on ozone concentration. And in Seoul, observations from Regional Meteorological Office for data assimilations of MM5 were suitable to predict ozone concentration. In other areas, data assimilation using both observations from Regional Meteorological Office and Automatical Weather System provided valid method to simulate the trends of meteorological fields and ozone concentrations. However, it is necessary to vertify the accuracy of AWS data in advance because slightly overestimated wind speed used in the data assimilation with AWS data could result in underestimation of high ozone concentrations.