Air pollution dispersion from rooftop emissions around hexahedron buildings was investigated using computational fluid dynamics (referred to hereafter as CFD). The Shear Stress Transport (referred to hereafter as SST) k-ω model in FLUENT CFD code was used to simulate the flow and pollution dispersion around the hexahedron buildings. The two buildings used in the study had the dimensions of H: L: W (where H = height, L = length, and W = width) with the ratios of 1:1:1 and 1:1:2. Experimental data from the wind tunnel obtained by a previous study was used to validate the numerical result of the hexahedron building. Five validation metrics are used to obtain an overall and quantitative evaluation of the performance of SST k-ω models: the fractional bias (FB), the geometric mean bias (MG), the normalized mean square errors (NMSE), the geometric variance (VG), and the factor of 2 of the observations (FAC2). The results of vertical concentration profile and longitudinal surface concentration of the 1:1:2 building illustrate the reasonable performance for all five metrics. However, the lateral concentration profile at X = 3H (where X is the distance from the source) shows poor performance for all of the metrics with the exception of NMSE, and the lateral concentration profile at X = 10H shows poor performance for FB and MG.

Abstract
 1. 서 론
 2. 연구 방법
  2.1 수치모델
  2.2 계산영역 및 경계조건
 3. 결과 및 고찰
  3.1 공동 영역 및 평균 유속에 대한 계산 결과 비교
  3.2 농도 프로파일에 대한 풍동실험 결과와 비교
  3.3 수치해석 모델의 적용성
 4. 결 론
 References

• 정상진(경기대학교 환경에너지공학과) | Sang Jin Jeong Corresponding author