Prediction of building surface concentration profiles by empirical for mulas considering the effects of oncoming flow profiles on concentration fields

Research Project

Project/Area Number	11650616
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Single-year Grants
Section	一般
Research Field	Architectural environment/equipment
Research Institution	TOKYO INSTITUTE OF POLYTECHNICS
Principal Investigator	OHBA Masaaki TOKYO INSTITUTE OF POLYTECHNICS, Professor, 工学部, 教授 (90130947)
Project Period (FY)	1999 – 2000
Project Status	Completed (Fiscal Year 2000)
Budget Amount *help	¥3,500,000 (Direct Cost: ¥3,500,000) Fiscal Year 2000: ¥1,500,000 (Direct Cost: ¥1,500,000) Fiscal Year 1999: ¥2,000,000 (Direct Cost: ¥2,000,000)
Keywords	Concentration prediction model / Air pollution / Isolated high-rise building / Oncoming flow profiles / Building surface concentration profiles / Wind tunnel / Wind load on buildings / 建物近傍空気汚染 / 接近流タイプ / 建物外表面 / 空気汚染 / べき指数 / 流れパターン / 建物近傍汚染
Research Abstract	This project developed the calculation methods for estimating building surface concentration profiles when point sources were located near an isolated high-rise building. The proposed methods used a decay index of vertical concentration profiles as substitutes for diffusion widths based upon Gaussian plume concepts. The index was derived from the experimental results that the vertical concentration profiles were inversely proportional to the power of the distance between point sources and sampling ports on the building surfaces. The empirical formulas could predict the vertical profiles of building surface concentrations with a mean prediction error of 35% when point sources were located upstream from the building and 14% for the cavity region. The prediction accuracy became worse when the location of maximum concentrations could not be estimated well.