The University of Tokyo · 환경과학
Chao Lin 교수의 연구실은 도시 대기 중 오염물질의 복잡한 거동을 정밀하게 예측하기 위해 CFD 기반의 유동 해석과 고도화된 대기화학 모델을 융합한 연구를 수행합니다. 주요 연구 분야는 도심 거리 협곡 내의 유해가스 및 미세먼지의 일시적 확산, 그리고 2차 오염물질 형성 메커니즘의 수치 모의입니다. 특히, OpenFOAM 및 Code_Saturne와 연계된 SSH-aerosol 모델을 활용해 기존 수치 모의의 한계를 보완하고 있으며, 도시 항공 이동성(UAM)을 위한 룕프탑 풍속 및 난류 특성 분석도 함께 진행하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Abstract. In the urban environment, gas and particles impose adverse impacts on the health of pedestrians. The conventional computational fluid dynamics (CFD) methods that regard pollutants as passive scalars cannot reproduce the formation of secondary pollutants and lead to uncertain prediction. In this study, SSH-aerosol, a modular box model that simulates the evolution of gas, primary and secondary aerosols, is coupled with the CFD software, OpenFOAM and Code_Saturne. The transient dispersion
• PIV measurements are conducted to investigate parapet influence on rooftop airflow. • Parapets reduce near-roof wind-speed by more than 60%. • Parapets reduce near-roof wind-speed standard-deviation by 29%-50%. • Parapets reduce gust factor in the roof center but increase it near parapet regions. • Taller parapet is preferrable to provide low wind-speed and low wind-fluctuation region. This study investigates the parapet influence on rooftop wind conditions of an isolated building towards safe
This study proposes an anisotropic concentration diffusivity model in the Reynolds-averaged Navier-Stokes equations (RANS) and the Eulerian dispersion model. The proposed model combines models to consider the turbulent anisotropic and near-source limited diffusivity based on the generalized gradient-diffusion hypothesis and travel time. The proposed model and conventional isotropic models were applied to predict the pollutant dispersion in an atmospheric boundary layer from elevated and ground-l
Abstract. In the urban environment, gas such as nitrogen dioxide NO2, and particles impose adverse impacts on pedestrians’ health. The conventional computational fluid dynamics (CFD) methods that regard pollutant as passive scalar cannot reproduce the formation of secondary pollutants, such as NO2 and secondary inorganic and organic aerosols, leading to uncertain prediction. In this study, SSH-Aerosol, a modular box model that simulates the evolution of gas, primary and secondary aerosols, is co
• PIV measurements captured rooftop flow with varying upwind and parapet configurations. • Skimming flow due to an equal-height building increased rooftop wind speed. • Sheltering by a taller building reduced wind speed and increased the gust factor on the rooftop. • Parapets reduced wind speed and fluctuation at 1.05 times the building height. • Parapets increased gust factor and flow fluctuations at 1.15 times the building height. This study investigates the influence of the parapet on rooftop
In the urban environment, gas such as nitrogen dioxide NO2, and particles impose adverse impacts on pedestrians’ health. The conventional computational fluid dynamics (CFD) methods that regard pollutant as passive scalar cannot reproduce the formation of secondary pollutants, such as NO2 and secondary inorganic and organic aerosols, leading to uncertain prediction. In this study, SSH-Aerosol, a modular box model that simulates the evolution of gas, primary and secondary aerosols, is coupled with
In the urban environment, gas such as nitrogen dioxide NO2, and particles impose adverse impacts on pedestrians’ health. The conventional computational fluid dynamics (CFD) methods that regard pollutant as passive scalar cannot reproduce the formation of secondary pollutants, such as NO2 and secondary inorganic and organic aerosols, leading to uncertain prediction. In this study, SSH-Aerosol, a modular box model that simulates the evolution of gas, primary and secondary aerosols, is coupled with
