東京大学 · 環境科学
Chao Lin教授の研究室は、都市部の空気質と都市空飛行モビリティ(UAM)の安全性を両立させるための流体力学的・大気化学的統合的アプローチを展開しています。主に、交通から発生するNO₂やPM10などの汚染物質の時間変動的拡散を、CFDと化学箱モデル(SSH-Aerosol)を連成して高精度に予測する研究が中心です。また、風洞実験とPIV測定を用いて、建物のルーフ上における風速・乱流の変化を解明し、UAMの安全な離着陸環境の設計に貢献しています。
Figures are computed from collected data and may differ slightly.
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
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