• Title/Summary/Keyword: Seoul Station

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Scenario Analysis of Personal Nitrogen Dioxide Exposure with Monte Carlo Simulation on Subway Station Workers in Seoul (확률론적 모의실험 기법을 이용한 일부 지하철 근무자들의 이산화질소 개인노출 시나리오 분석)

  • 손부순;장봉기;양원호
    • Journal of Environmental Science International
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    • v.10 no.3
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    • pp.195-200
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    • 2001
  • The personal exposures of nitrogen dioxide(NO$_2$), microenvironmental levels and daily time activity patterns on Seoul subway station workers were measured from February 10 to March 12, 1999. Personal NO$_2$exposure for 24 hours were 29.40$\pm$9.75 ppb. NO$_2$level of occupational environment were 27.87$\pm$7.15 ppb in office, 33.60$\pm$8.64 ppb in platform and 50.13$\pm$13.04 ppb in outdoor. Personal exposure time of subway station workers was constituted as survey results with $7.94\pm$3.00 hours in office, $2.82\pm$1.63 hours in platform and 1 hours in outdoor. With above results, personal $NO_2$exposure distributions on subway station workers in Seoul were estimated with Monte Carlo simulation which uses statistical probabilistic theory on various exposure scenario testing. Some of distributions which did not have any formal patterns were assumed as custom distribution type. Estimated personal occupational $NO_2$exposure using time weighted average (TWA) model was 31.$29\pm$5.57 ppb, which were under Annual Ambient Standard (50ppb) of Korea. Though arithmetic means of measured personal $NO_2$exposure was lower than that of occupational $NO_2$exposure estimated by TWA model, considering probability distribution type simulated, probability distribution of measured personal $NO_2$exposures for 24 hours was over ambient standard with 3.23%, which was higher than those of occupational exposure(0.02%). Further research is needed for reducing these 24 hour $NO_2$personal excess exposures besides occupational exposure on subway station workers in Seoul.

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Analysis on Air Quality Characteristics through Air Quality Monitoring Stations in urban Background and High Altitude in 2005~2006 in Seoul (서울시의 2005~2006년 도시배경 및 상층측정망의 대기질 특성 분석)

  • Yoo, Seung-Sung;Jeon, Jae-Sik;Jung, Kweon;Shin, Eun-Sang;Jung, Bu-Jeon;Ryu, Ri-Na;Woo, Jung-Hun;Sunwoo, Young
    • Journal of Environmental Impact Assessment
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    • v.20 no.1
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    • pp.49-59
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    • 2011
  • The results of comparing $PM_{10}$ concentration between 'Namsan' and 'Yongsan-gu' air quality monitoring stations show similar values with averaged concentration in the whole Seoul. The correlation factors in both sites were 0.865, 0.828 in 2005, 2006, respectively. For 'Bukhansan' and 'Gangbuk-gu' air quality monitoring stations, different from the results mentioned above, they showed clear differences as altitude changes. PM10 concentration in 'Bukhansan' monitoring stations was 10 ${\mu}g/m^3$ lower than 'Gangbuk-gu' monitoring station which is located near the ground. Also, averaged PM10 concentration in 'Bukhansan' and 'Gangbuk-gu' monitoring stations was lower than that in the whole Seoul. When comparing $NO_2$ concentration between 'Namsan' and 'Yongsan-gu' monitoring stations, $NO_2$ concentration in 'Namsan' monitoring station was lower than 'Yongsan-gu' monitoring station. For $NO_2$ concentration in 'Bukhansan', 'Gangbuk-gu' and 'the whole Seoul', there were the same pattern in 'Gangbuk-gu' and the 'the whole Seoul' and low values in 'Bukhansan' monitoring station. The correlation factors of $NO_2$ concentration in 'Bukhansan' and 'Gangbukgu' was 0.525, 0.549 in 2005, 2006, respectively, which stands for low correlationship.

Analysis of Changes in Spatial Structure of Seoul by Analyzing the Land Price Changes of Station Influence Areas (역세권 지가 변동 분석을 통한 서울시 공간 구조 변화 분석)

  • Koo, Hyunchol;Lee, Byoungkil;Lee, Chang Soo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.1
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    • pp.63-70
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    • 2016
  • From 1990, Seoul Metropolitan Government has established an urban master plan for the efficient city management by introducing the central place structure with a multi-tiered hierarchy. In the plan, Seoul City uses the strategy of developing the station influence area around the urban railway, in order to form the central place structure, effectively. . Therefore, reviewing impacts of urban railway is the most fundamental study for understanding changes in the spatial structures of Seoul. In the study, we have analyzed the changes in the central place structure of Seoul City with the public land price changes in station influence area around the urban railway at each year of 2000, 2005, and 2010. As a result, we could easily recognize the changes in the hierarchical central place structure by analyzing the time-series changes of public land price in station influence area.

Reckoning of the Agricultural Vehicle in the Field Using Acoustic Ranging

  • Inooka, Hikaru;Kim, HiSik
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.94.4-94
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    • 2001
  • An acoustic ranging system was applied for reckoning the location of an agricultural vehicle in the field. The system has a number of fixed stations and a mobile station such as an agricultural vehicle. The mobile station comprises a radio frequency modulator-demodulator (RF MODEM), a buzzer, and a personal computer. The fixed station comprises an (RF MODEM), a microphone, an amplifier for the microphone, and a personal computer with a soundboard. The mobile station transmits a 7-bit ASCII code and, activates the buzzer simultaneously. The propagation delay time at the fixed station is caused by the difference ...

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Estimating Station Transfer Trips of Seoul Metropolitan Urban Railway Stations -Using Transportation Card Data - (수도권 도시철도 역사환승량 추정방안 -교통카드자료를 활용하여 -)

  • Lee, Mee-Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.5
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    • pp.693-701
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    • 2018
  • Transfer types at the Seoul Metropolitan Urban Railway Stations can be classified into transfer between lines and station transfer. Station transfer is defined as occurring when either 1) the operating line that operates the tag-in card-reader and that operating the first train boarded by the passenger are different; or 2) the line operating the final alighted train and that operating the tag-out card-reader are different. In existing research, transportation card data is used to estimate transfer volume between lines, but excludes station transfer volume which leads to underestimation of volume through transfer passages. This research applies transportation card data to a method for station transfer volume estimation. To achieve this, the passenger path choice model is made appropriate for station transfer estimation using a modified big-node based network construction and data structure method. Case study analysis is performed using about 8 million daily data inputs from the metropolitan urban railway.