AERMOD: A dispersion model for industrial source applications. Part I: General model formulation and boundary layer characterization

被引:423
|
作者
Cimorelli, AJ
Perry, SG
Venkatram, A
Weil, JC
Paine, RJ
Wilson, RB
Lee, RF
Peters, WD
Brode, RW
机构
[1] US Environm Protect Agcy, Philadelphia, PA 19107 USA
[2] US EPA, Natl Exposure Res Lab, Res Triangle Pk, NC 27711 USA
[3] NOAA, Air Resources Lab, Res Triangle Pk, NC USA
[4] Univ Calif Riverside, Coll Engn, Riverside, CA 92521 USA
[5] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[6] ENSR Int, Westford, MA USA
[7] US EPA, Seattle, WA USA
[8] US EPA, OAQPS, Res Triangle Pk, NC 27711 USA
[9] MACTEC Fed Programs Inc, Durham, England
来源
JOURNAL OF APPLIED METEOROLOGY | 2005年 / 44卷 / 05期
关键词
D O I
10.1175/JAM2227.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The formulation of the American Meteorological Society (AMS) and U.S. Environmental Protection Agency (EPA) Regulatory Model (AERMOD) Improvement Committee's applied air dispersion model is described. This is the first of two articles describing the model and its performance. Part I includes AERMOD's characterization of the boundary layer with computation of the Monin-Obukhov length, surface friction velocity, surface roughness length, sensible heat flux, convective scaling velocity, and both the shear- and convection-driven mixing heights. These parameters are used in conjunction with meteorological measurements to characterize the vertical structure of the wind, temperature, and turbulence. AERMOD's method for considering both the vertical inhomogeneity of the meteorological characteristics and the influence of terrain are explained. The model's concentration estimates are based on a steady-state plume approach with significant improvements over commonly applied regulatory dispersion models. Complex terrain influences are provided by combining a horizontal plume state and a terrain-following state. Dispersion algorithms are specified for convective and stable conditions, urban and rural areas, and in the influence of buildings and other structures. Part II goes on to describe the performance of AERMOD against 17 field study databases.
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页码:682 / 693
页数:12
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