• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2018.05a
• /
• pp.55-56
• /
• 2018

In order to construct an efficient monitoring system for major port cities in Korea, the first step to build and manage related laws and institutional infrastructure with strengthen the cooperation of the relevant agencies, regional port authorities, and port corporations. Second, for the management of air pollutants emitted by ports, a management system should be established through systematic inventory source inventory and real-time monitoring system. Third, active countermeasures should be established to reduce the emission of air pollutants by sources such as ships, harbor equipment, and trucks. This will improve the air quality of major port cities and move them to clean port cities.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2008.04a
• /
• pp.504-505
• /
• 2008

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2006.11a
• /
• pp.122-123
• /
• 2006

본 연구에서는 2001년부터 2005년까지의 최근 5년간의 대구시 보건환경연구원의 대기질 자동측정망 자료와 대구기상대의 기상자료를 이용하여 통계적 방법을 이용하여 대구시 주거지역의 오존농도를 평가하였다. 분석기간은 2001년부터 2005년까지 고농도 오존일이 가장 많이 발생한 5, 6월을 대상으로 하여, 오존농도와 대기오염물질 및 기상요소와의 상관관계분석과 교차상관관계 분석을 실시하였다. 대구지역의 오존농도는 측정지점별로 약간의 차이는 있지만, 기온 및 일사량이 증가하는 하절기에 증가하고, 동절기에 감소하는 전형적인 패턴을 보여주었다. 분석기간 중 오존최고농도는 상관관계분석 결과 고농도 오존에 영향을 주는 인자로 대기오염물질로는 $NO_2$, NO 그리고 기상요소로는 온도, 상대습도, 일사량으로 나타났다. 교차상관관계분석 결과 NO2, NO, 온도와 상대습도는 0시간 차이에서 가장 높은 상관계수를 나타내었으며, 일사량의 경우 오존농도가 최고치를 나타낼 때보다 -2시간 차이에서 가장 높은 상관계수를 나타내었다.

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2006.05a
• /
• pp.126-128
• /
• 2006

대구 보건환경연구원의 대기오염측정망 관측자료를 통해 주중과 주말의 대기오염물질 농도 분포에 관해 살펴보았다. NO$_2$와 PM10의 농도가 평일에 비하여 주말에 감소하는 경향으로 보이는 것은 주말보다 평일에 출퇴근 등의 차량 통행이 많은 것과 관련이 있는 것으로 사료된다. 이와 반대로 O$_3$이 평일에 비하여 주말에 증가하는 경향을 보인 것은 감소하는 NO$_2$의 농도와 관련하여 상대적으로 O$_3$의 농도가 증가한 것으로 사료된다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.4
• /
• pp.1931-1938
• /
• 2012

This study evaluated whether the installed location of air quality monitoring stations is at an optimal level in an effort to improve the health and environmental quality of the surrounding areas of the Pohang Steel Complex. As a result of analyzing the atmospheric flow field, it was found that the location of air quality monitoring stations was acceptable in case of Daesong-myeon(The 1st Division of Local Wind Sector) and Jukdo-dong(The 3rd Division of Local Wind Sector). However, the air quality monitoring stations installed at Daedo-dong and Jukdo-dong is judged to have made an overlapped measurement because the stations existed at the Division of the same Wind Sector. Accordingly, this study suggests that the further air quality monitoring stations should be additionally installed at Buk-gu areas of Pohang where more than 50% of the population of Pohang is living presently. As a result of the analysis of air contaminant concentration distribution, the Jangheung-dong area showed higher concentration distribution than other areas in case of $PM_{10}$ while the Daesong-myeon area showed a comparatively higher concentration distribution in case of $O_3$. Conclusively, this study indicates that it is high time to prepare an aggressive management of $PM_{10}$ and $O_3$ which causes a harmful impact on the life and health of the residents of the target areas.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2006.04a
• /
• pp.278-280
• /
• 2006

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2002.04a
• /
• pp.257-258
• /
• 2002

인천은 동북아와 세계를 연결하는 허브(HUB)공항인 인천국제공항과 함께 인천항을 보유하고 있으며, 인천지방산업공단, 남동공단, 서부공단, 부평공단 및 주안공단 등 8개 산업공단을 중심으로 철강, 자동차, 기계, 석유화학, 전기ㆍ전자 등의 활발한 산업활동을 펴고 있다. 하지만 이렇게 집중되어진 교통망과 비계획적인 도로 등에 의한 교통혼잡 등에 의하여 도심에서도 대형트럭과 컨테이너 운반차량 등을 쉽게 달 수 있다. (중략)

• Journal of the Korean earth science society
• /
• v.35 no.7
• /
• pp.543-553
• /
• 2014

The environmental behavior of $SO_2$ was investigated in terms of the factors affecting the temporal variabilities by analyzing the data sets obtained from the Yongsan district in Seoul from 2004 till 2013. To this end, the relationship between $SO_2$ and relevant parameters including particulate matters (such as $PM_{2.5}$, $PM_{10}$, and TSP (total suspended particulates)) and gaseous components ($CH_4$, CO, THC (total hydrocarbon), NMHC (non-methane hydrocarbon), NO, $NO_2$, NOx, and $O_3$) was investigated in several aspects. Over a decade, the annual mean concentrations of $SO_2$ varied in the range of $4.36-5.86nmole\;mole^{-1}$ (min-max) which was about five times lower than the regulation guideline set for the air quality management in Korea. In fact, this pattern greatly contrasts with some other air pollutants of which concentrations exceeded their guideline values significantly. According to our analysis, $SO_2$ was strongly correlated to the temperature and other relevant parameters. The overall results of this study confirm that the administrative regulation of $SO_2$ levels has been made effectively relative to other airborne pollutants.

• Journal of Environmental Impact Assessment
• /
• v.27 no.6
• /
• pp.717-726
• /
• 2018

PM(Particulate Matter) cause serious diseases of air pollution. Most of the studies have analyzed local distribution trends using satellite images or modeling techniques. However,the method using the spatial interpolation method based on the meteorological value is insufficient in Korea. In this study, monthly spatial distribution of $PM_{10}$ and $PM_{2.5}$ in January, February, March, and April of 2018 Seoul Metropolitan City were analyzed based on 39 PM monitoring networks. In addition, a distribution map showing the difference between $PM_{10}$ and $PM_{2.5}$ was based on the distribution obtained through this study. The regions of high $PM_{10}$ and $PM_{2.5}$ emissions were selected. In addition, the correlation between $PM_{10}$ and $PM_{2.5}$ was confirmed through the distribution map. This study analyzed the spatial distribution variation results of analyzing $PM_{10}$ and $PM_{2.5}$ in Seoulthrough spatial analysis technique. As a result of this study, it was confirmed that $PM_{10}$ shows high measured value on the roadside measurement station.

• Journal of Cadastre & Land InformatiX
• /
• v.48 no.2
• /
• pp.185-195
• /
• 2018

In the Seoul Metropolitan City, the PM(pariculate matter) application used by the citizens provides the PM concentration of the nearest monitoring stations located on the PM monitoring stations. Currently, the selecting method of the PM monitoring network considered by the Ministry of Environment is based on considering the monitoring station distribution and population density only. In this study, we analyzed the distance between PM monitoring station and the administrative center point in addition to the above considerations. The number of test sites was verified and the range of coverage of each monitoring stations was indicated by using the Voronoi algorithm and hexagon grid. The spatial position problem of the PM monitoring station was suggested by spatial data analysis. The variables of spatial data analysis are single-family houses, apartments, $1^{st}$ class neighborhood, $2^{nd}$ class neighborhood, garbage disposal plant, hazardous material disposal facility, factory, and the density map. The analysis result of the selection criterion considering the additional variables for new PM monitoring stations was presented, in addition to the selection criteria provided by the Ministry of Environment.