AERMOD: A Dispersion Model for Industrial Source Applications. Part I: General Model Formulation and Boundary Layer Characterization

Author:

Cimorelli Alan J.1,Perry Steven G.2,Venkatram Akula3,Weil Jeffrey C.4,Paine Robert J.5,Wilson Robert B.6,Lee Russell F.7,Peters Warren D.8,Brode Roger W.9

Affiliation:

1. U.S. Environmental Protection Agency Region 3, Philadelphia, Pennsylvania

2. Air Resources Laboratory, NOAA, and National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina

3. College of Engineering, University of California, Riverside, Riverside, California

4. Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado

5. ENSR International, Westford, Massachusetts

6. U.S. Environmental Protection Agency Region 10, Seattle, Washington

7. Charlotte, North Carolina

8. OAQPS, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina

9. MACTEC Federal Programs, Inc., Durham, North Carolina

Abstract

Abstract 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.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference68 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3