• Asian Journal of Atmospheric Environment
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• 제1권1호
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• pp.1-8
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• 2007

Vehicle exhaust is a dominant source of air pollutants in urban areas. Since people are easily exposed to vehicle exhaust particles while driving a car and/or traveling via public transportation, air pollution near traffic has been extensively studied in developed countries. In this paper, investigations on vehicle-related fine particulate air pollution at roadsides and on roads in Seoul, Korea were reviewed to understand air pollution near traffic. Comparison of $PM_{10}$ concentrations in Seoul showed that roadside air is more contaminated than urban air, implying that exposure levels near vehicular emissions are more critical to sensitive persons. Concentrations of ultrafine particles and BC (black carbon) at roadsides of Seoul fluctuate highly for short durations, responding to traffic situations. Diurnal variations of ultrafine particles and BC concentrations at roadsides seem to be affected by traffic volume, mixing layer height, and wind speed. Concentrations of ultrafine particles and BC decrease as distance from the road increases due to dilution during transport. On-road air pollution seems to be more severe than roadside air pollution in Seoul. Since nearby traffic air pollution has not been well understood in Seoul, further studies including various vehicular air pollutants and representative locations are needed.

• 한국경제지리학회지
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• 제11권1호
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• pp.59-77
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• 2008

자동차를 중심으로 하는 도로교통량이 크게 늘면서 교통에 기인한 다양한 피해 현상들이 나타나고 있다. 특히 교통량이 집중되는 대도시에서는 교통에 기인한 도시민의 건강피해가 심각한 것으로 밝혀지고 있다. 본 연구에서는 교통에 기인한 미세먼지의 피해를 직접적으로 받는 도시인구는 미세먼지의 주 발생원인 교통흐름이 있는 도로변에 가까이에 노출되는 도시민들이라고 보고 도시 공간 내에서 교통흐름과 미세먼지, 그리고 도시 통행인구의 공간적 분포를 분석하였다. 특히 본 연구에서는 대기오염문제가 심각한 서울을 대상으로 교통에 기인한 미세먼지의 실태를 살펴보고, 서울을 둘러싸고 있는 경기도 일대에 대단위 주거지들이 밀집된 신도시들이 개발되면서 나타나는 인구분포와 통행패턴, 그리고 교통흐름 및 미세먼지 농도에 나타나는 공간적 변화와 이들 간의 공간적 관계를 종합적으로 파악하기 위하여 GIS를 적용하였다. 또한 교통카드 트랜잭션 데이터베이스에서 데이터마이닝기법으로 추출해낸 통행흐름 자료를 이용하여 통행시간별 통행인구분포도를 작성하고, 이를 바탕으로 교통에 기인한 미세먼지에 직접 노출하게 되는 도시인구를 산정하는 시 공간적 모형개발을 시도하였다.

• 환경영향평가
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• 제15권1호
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• pp.23-33
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• 2006

The factor of air pollution in a large industrial city is not only manufactories but also, activities related to trucks. Sihwa National Industrial Complex is located in Siheung City; due to the industries, more diverse activities related to trucks occur in Siheung City than other cities. In particular, the new residential area in Siheung City is close to the industrial complex; so, the damage of this residential area is expected that it would be more serious and vulnerable than other areas. The aim of this study is to analyze influence of the air pollution by a truck in Siheung City. ISCST3 Model and Arc View program were used for this study and Siheung City was divided into 1,000 meter by 1,000 meter grid to analyze. Furthermore, this study suggested two reduction controls of air pollution in Siheung City, and analyzed the results from these reduction managements. The results of the present condition showed that residences located in north of Sihwa Industrial Complex are influenced by air pollution material. Furthermore, air pollution by trucks has affected on the residents which is near the road in Siheung City. Therefore, this study suggested two reduction controls by the Traffic System Management. The first alternative plan is setting the truck traffic limitation zone in the road that is located in south of resident areas and many trucks traffic. Next, the second alternative plan is setting freight truck way on the most traffic road to enter the industrial complex. The reduction effect of the first alternative is good on the residential area. And, the second alternate about freight truck way is divided passenger cars into trucks. Therefore, there are increase of average speed and decrease of average concentration, and spatial reduction effects found in wide areas.

• 한국대기환경학회지
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• 제2권2호
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• pp.31-40
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• 1986

Motor vehicle related air pollution has become more serious because of rapid increase of number of cars, specially in the urban area. The increase trend seems to be accelerated, however, the fact is that road conditions, parking facilities and traffic control systems are far behind coping with this situation. In spite of the lack of related basic data, urban transportation planning (UPT) and air pollution dispersion models were applied to predict air pollution level. In standard UPT model, trip generation, distribution, modal split and network assignment were estimated by experimental equations and appropriate models. The air pollution level in the central business area was believed to be higher and it will increase continuously due to the increase of traffic demand. To meet this situation, air pollution problem should be considered as a part of integrated plannings of urban plans or transportation plans as well as more stringent motor vehicle emission standards, have to be enforced.

• 대한공간정보학회지
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• 제8권1호
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• pp.13-25
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• 2000

도로교통환경문제는 현대의 도시생활에 있어서 세계공통의 심각한 환경문제의 하나이다. 본 연구에서는 도로교통환경문제, 특히 도로교통에 기인하는 대기오염문제의 평가를 위한 지원시스템을 개발하였다. 본 개발시스템은 GIS, 교통관련의 대기오염시뮬레이션모델, 예비적 대책들의 데이타베이스로 구성되어 있다. 대기오염시뮬레이션모델의 구축에 있어서, GIS지원환경은 연구대상지역의 대량의 공간정보의 처리와 실제위치상에서의 보다 정확한 대기오염의 계산이라는 점에서 유용한 툴(tool)을 제공할 수 있다. GIS지원시스템의 이러한 역할은 보다 효율적인 분석과 보다 합리적인 결정을 위하여 매우 유용한 것이다. 본 연구에서 개발된 시스템의 실용성은 이집트 카이로시의 도시권을 연구대상지역으로 적용함으로써 그 가능성을 확인할 수 있었다.

• 소음진동
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• 제7권3호
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• pp.521-529
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• 1997

Noise pollution, especially road traffic noise-in terms of population exposure-has become a major problem in Seoul. However, although noise can be sensed directly, it is considered somewhat less important compared to other environmental pollutions. In this study, we chose nine districts in Seoul and distributed a questionnaire containing 23 questions in related to the awareness of noise pollution for 950 people living in Seoul. The results were analyzed according to the citizens' awareness on the whole, age, occupation, and were compared to the actual noise level measured by the Seoul Metropolitan Government. The analysis of the questionnarie show that road traffic noise is considered to be the main source of noise pollution in Seoul. People think that the individual and the Seoul Metropolitan Government are most responsible for the noise reduction in Seoul, but replies only little effort is put into when asked whether one has made any personal effort to reduce noise. We have concluded that noise pollution is not considered a hazardous problem to most Seoul citizens, and that most of them seem to be used to it. Yet, specific noise reduction policies, especially road traffic noise, are expected to take effect as quality of life is pursued due to economic enhancement.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 1996년도 추계학술대회논문집; 한국과학기술회관, 8 Nov. 1996
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• pp.394-401
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• 1996

Noise pollution, especially road traffic noise has become a major problem in Seoul. However, although noise can be sensed directly, it is considered somewhat less important compared to other environmental pollutions. In this study, we chose nine districts in Seoul and distributed a questionnaire composed of 23 questions in related to the awareness of noise pollution for 950 people living in Seoul. The results were analyzed according to district area, age, occupation, and were compared to the actual noise level measured by the Seoul Metropolitan Government. The analysis of the questionnaire show that road traffic noise is considered to be the main source of noise pollution in Seoul. People think that the individual and the Seoul Metropolitan Government are most responsible for the noise reduction in Seoul, but replies only little effort is put into when asked whether one has made any personal effort to reduce noise. We have concluded that noise pollution is not considered a hazardous problem to most Seoul citizens, and that most of them seem to be used to it. Yet, specific noise reduction policies, especially road traffic noise, are expected to take effect as quality of life is pursued due to economic enhancement.

• Journal of Preventive Medicine and Public Health
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• 제19권1호
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• pp.100-122
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• 1986

Obtaining an available information on health concerns of parents of school-age children and furthermore developing the sound policy for the public on health education, this study was conducted during Nov.-Dec. 1985 in the four selected areas; Seoul, large, middle and small city, and farming and fishery villages for 3,337 parents of schoolchildren in Korea. In this study, parents complected a questionnaire containing 34 items related to health concerns(e.g. drinking alcohol, air pollution, cancer, etc. see Table 4 and Fig. 2). For each health items, respondents were asked to indicate a choice between three levels of concern; 'Very high concern,' 'Moderate concern,' 'Little concern', and 'No opinion'. An analysis of responses indicated that most of the top ten health concerns identified by parents as cancer, abortions among high school students, medical malpractice, water pollution, traffic accidents, air pollution, suicide of parents and homicide of offspring, heart disease, venereal diseases, and high blood pressure in that order. Those health problems about which respondents were least concerned were more closely related to the individual, such as drinking alcohol, smoking, tooth decay, gum disease, underweight, overweight. Of greater concern were more such as water pollution, abortions among high school students, air pollution, accidents, medical malpractice. For cancer, heart disease, high blood pressure, various accidents, environmental pollution, parents showed high concern, however, for health issues which contributed as causative influences such as lung cancer from smoking and liver cirrhosis and traffic accidents from drinking alcohol showed less concern. Relationship between parent's residential areas, educational level and sex distribution and health concern showed little difference, however, for these issues parents identified as relatively high concern. Most parents stowed more concern in sex-related of family-related health issues such as abortions among high school students, suicide of parents and homicide of offspring.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2010년도 춘계학술대회 논문집
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• pp.336-337
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• 2010

• Environmental Analysis Health and Toxicology
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• 제30권
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• pp.10.1-10.14
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• 2015

Recent cohort studies have relied on exposure prediction models to estimate individual-level air pollution concentrations because individual air pollution measurements are not available for cohort locations. For such prediction models, geographic variables related to pollution sources are important inputs. We demonstrated the computation process of geographic variables mostly recorded in 2010 at regulatory air pollution monitoring sites in South Korea. On the basis of previous studies, we finalized a list of 313 geographic variables related to air pollution sources in eight categories including traffic, demographic characteristics, land use, transportation facilities, physical geography, emissions, vegetation, and altitude. We then obtained data from different sources such as the Statistics Geographic Information Service and Korean Transport Database. After integrating all available data to a single database by matching coordinate systems and converting non-spatial data to spatial data, we computed geographic variables at 294 regulatory monitoring sites in South Korea. The data integration and variable computation were performed by using ArcGIS version 10.2 (ESRI Inc., Redlands, CA, USA). For traffic, we computed the distances to the nearest roads and the sums of road lengths within different sizes of circular buffers. In addition, we calculated the numbers of residents, households, housing buildings, companies, and employees within the buffers. The percentages of areas for different types of land use compared to total areas were calculated within the buffers. For transportation facilities and physical geography, we computed the distances to the closest public transportation depots and the boundary lines. The vegetation index and altitude were estimated at a given location by using satellite data. The summary statistics of geographic variables in Seoul across monitoring sites showed different patterns between urban background and urban roadside sites. This study provided practical knowledge on the computation process of geographic variables in South Korea, which will improve air pollution prediction models and contribute to subsequent health analyses.