• Title/Summary/Keyword: 도로터널 오염물질

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An appropriateness review on the road tunnel ventilation standards by pollutants site measurement and case study (오염물질 현장측정 및 사례조사를 통한 도로터널 환기기준의 적정성에 관한 연구)

  • Kim, Hyo-Gyu;Baek, Doo-San;Yoo, Ji-Oh
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.22 no.3
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    • pp.323-335
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    • 2020
  • In this study, a series of site measurement of particulate and gases pollutants at five tunnels were carried out along with case studies to review the suitability of the current road tunnel ventilation design standards. Previous studies by other researchers have shown that the ratios of the level of measurement to the standard were 27.9%, 1.6% and 3.4% for TSP, CO and NOx, respectively. Those measured in this site study shows even lower ratios; the ratios were 2.6%, 0.8% and 0.3%, for TSP, CO and NOx, respectively. The particle size analysis of TSP for the five tunnels shows that PM10 including tire wear and re-suspended road dust exceeded 20.4%. This implies that non-exhaust particulate matter must be taken into account, since the current design standards for the particulate matter (visibility) include only the engine emission. Based on the recent research results, for vehicle emission rate and slope-speed correction factors, revision of ventilation design standards for pollutants is required. WRA (PIARC) also emphasizes the necessity of the ventilation design standards for pollutants. In addition, enactment of a new road tunnel ventilation system operation standard or guideline is strongly recommended when considering the low operating rate of the ventilation system with jet-fans.

도로터널 환기시설 T.A.B.(제트팬 방식)

  • 유지오
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.30 no.7
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    • pp.24-28
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    • 2001
  • 터널 환기 설비는 터널에서 발생하는 오염물질을 희석 배출하여 터널에서의 안전운행 및 쾌적한 환경을 유지함을 목적으로 한다. 이를 위해서 각종 환기설비가 필요하게 되며, 이에 대한 설계 검토가 요구되고 있다. 본 원고에서는 제트팬 방식의 터널에서 풍속 측정을 중심으로 하여 측정결과 및 분석결과를 소개하고자 한다.

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Application of Artificial Neural Network to the Prediction of Pollutant Concentration in Road Tunnels (인공신경망을 이용한 도로터널 오염물질 농도 예측)

  • Lee, Duck-June;Yoo, Yong-Ho;Kim, Jin
    • Tunnel and Underground Space
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    • v.13 no.6
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    • pp.434-443
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    • 2003
  • In this study, it was purposed to develop the new method for the prediction of pollutant concentration in road tunnels. The new method was the use of artificial neural network with the back-propagation algorithm which can model the non-linear system of tunnel environment. This network system was separated into two parts as the visibility and the CO concentration. For this study, data was collected from two highway road tunnels on Yeongdong Expressway. The tunnels have two lanes with one-way direction and adopt the longitudinal ventilation system. The actually measured data from the tunnels was used to develop the neural network system for the prediction of pollutant concentration. The output results from the newly developed neural network system were analysed and compared with the calculated values by PIARC method. Results showed that the prediction accuracy by the neural network system was approximately five times better than the one by PIARC method. In addition, the system predicted much more accurately at the situation where the drivers have to be stayed for a while in tunnels caused by the low velocity of vehicles.

Interference and Re-Inflow of Contaminated Air in Successive Tunnel (연속터널에서의 오염물질 재유입 및 환기영향평가)

  • Kim, Young-Geun;Kim, Woo-Sung;Wye, Yong-Gon;Kim, Nam-Yung;Lee, Ho-Suk
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.5 no.2
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    • pp.115-134
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    • 2003
  • Recently, there are many cases in the roadway design for successive tunnel with small distance between two tunnels. In this case, the degree of interference for successive tunnels is a significant consideration in the design of ventilation systems. Also, Re-inflows of contaminated air in successive tunnel make serious ventilation problems in case of fire accident in the tunnel. In this study, for successive tunnels in Donghae highway project, the concentration of contaminant such as CO, NOx and Smoke were calculated by numerical analysis using 1D and 3D-CFD analysis. And, the rate of re-inflow at the portals of successive tunnel according to the direction of wind were analysed.

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차량터널 오염물질 농도 예측 시뮬레이션 모델 연구

  • 이창우;양원철;이송희
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 1996.03a
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    • pp.107-118
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    • 1996
  • 최근 급격히 장대화 하고 있는 차량 터널의 효율적 건설 및 운영을 위하여 관련 기본 요소 기술 중 특히 국내 기술 수준이 낙후한 분야 중의 하나인 환기 시스템 설계 기술에 대한 관심이 높아지고 있다. 외국의 경우에 비하여 상대적으로 늦긴 했으나 1990년 환경처가 지하 공간 환경 기준 권고치를 설정 발표함으로써 보사부의 공중 위생법, 건설부의 도로법, 노동부 고시 등에 의한 관리 대상이던 터널 내 오염 물질도 직접적인 규제 대상이 되었다. (중략)

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Dynamic Model of the Road Tunnel Pollution by Neural Networks (신경망을 이용한 도로터널 오염물질 동적 모델)

  • 한도영;윤진원
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.9
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    • pp.838-844
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    • 2004
  • In a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution below the required level. To develop control algorithms for a tunnel ventilation system, a dynamic simulation program may be used to predict the pollution level in a tunnel. Research was carried out to develop better pollution models for a tunnel ventilation control system. A neural network structure was adopted and compared by using actual poilution data. Simulation results showed that the dynamic model developed by a neural network may be effective for the development of tunnel ventilation control algorithms.

Study on Pollutant Characteristics of Tunnel Cleaning Wastewater and Removal Characteristics of the Pollutants via Settling and Adsorption (터널 세척 폐수 특성 및 분리.흡착 방식에 따른 오염물질 저감 연구)

  • Park, Sang-Woo;Choi, Young-Hwa;Oh, Je-Ill
    • International Journal of Highway Engineering
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    • v.9 no.3
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    • pp.75-82
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    • 2007
  • Washed wastewater generated from the intermittent cleaning process of the three tunnel sites located in the Seoul area showed high concentrations of SS, $COD_{Cr}$, T-N, $NH_3-N$, $NO_3-N$, Zn, Cu, Cr(+6), Mn, Mg, Phenol, $CN^-$ and E-Coli based on the water quality analysis. These characteristics of the deteriorative wastewater depend on the sampling method, cleaning frequency, released amount of washing water, inner material of tunnel wall, traffic volume, and type of drainage systems. Gravitational separation experiment of SS with collected tunnel wastewater showed considerable removal of pollutants such as 80% of $COD_{Cr}$, 30% of T-N and 90% of T-P simultaneously. GAC isotherm test was conducted to remove dissolved portion of the pollutants, and resulted in high removal efficiencies above 80% of $COD_{Cr}$, T-N, Zn, Cu, Mn, Phenol, CN in the experimental condition of GAC dosage of $50g/1/{\ell}$.

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A study on the effects of changes in the estimating criteria for ventilation requirements in road tunnels (도로터널 소요환기량 산정기준 변화에 따른 영향 분석)

  • Kim, Hyo-Gyu;Lee, Chang-Woo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.21 no.6
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    • pp.779-793
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    • 2019
  • The ventilation rate (Qreq) requirement in road tunnels is not just a basic information for determining the tunnel cross-sectional area, but also a major factor for the ventilation system selection. The Qreq is predominantly dependent on the vehicle traffic volume, while among others, the vehicle exhaust emissions and permissible standards are critical. This paper analyzes the changes in the Qreq designing criteria and/or recommendations suggested by World Road Association and local authorities over the last 20 years, since the first local designing criteria was established in 1997 by Korea Expressway Corporation. Additionally, based on the updated vehicle emission standards of Ministry of Environment and recent recommendations of the World Road Association (WRA), changes in the Qreq and its effects are studied in terms of the length and grade of the tunnel.

Prediction of spatial distribution of air pollutants within tunnel (터널 내 대기오염물질의 공간분포 예측)

  • Park, Il-Gun;Hong, Min-Sun;Kim, Beom-Seok;Kang, Ho-Geun
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.14 no.6
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    • pp.607-616
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    • 2012
  • The need for management of tunnel air quality is imminent considering the rapid increase of number and span of tunnels in Korea. To investigate spatial distribution of $CO_2$ within tunnels, $CO_2$ were measured and model simulations were performed in Namsan 1 tunnel. Results show that $CO_2$ concentrations were 250 ppm to 400 ppm higher in the exit than tunnel entrance. Also, $CO_2$ concentrations were 200 ppm to 300 ppm lower inside no ventilating vehicle than in the tunnel. Both experimental and model simulation results show that spatial distribution and concentration gradient of air pollutant inside tunnel are highly dependent on traffic density.