Comparison of the Complex Terrain Algorithms Incorporated into Two Commonly Used Local-Scale Air Pollution Dispersion Models (ADMS and AERMOD) Using a Hybrid Model
Comparison of the Complex Terrain Algorithms Incorporated into Two Commonly Used Local-Scale Air Pollution Dispersion Models (ADMS and AERMOD) Using a Hybrid Model
复制标题
使用混合模型比较复杂地形算法并入两种常用的局部尺度空气污染扩散模型(ADMS 和 AERMOD)
DOI:
10.1080/10473289.2011.609750
复制
发表时间:
2011
影响因子:
2.7
通讯作者:
E. Vanvyve
中科院分区:
文献类型:
--
作者:
D. Carruthers;M. Seaton;C. McHugh;Xiangyu Sheng;E. Solazzo;E. Vanvyve
ABSTRACT ADMS and AERMOD are the two most widely used dispersion models for regulatory purposes. It is, therefore, important to understand the differences in the predictions of the models and the causes of these differences. The treatment by the models of flat terrain has been discussed previously; in this paper the focus is on their treatment of complex terrain. The paper includes a discussion of the impacts of complex terrain on airflow and dispersion and how these are treated in ADMS and AERMOD, followed by calculations for two distinct cases: (i) sources above a deep valley within a relatively flat plateau area (Clifty Creek power station, USA); (ii) sources in a valley in hilly terrain where the terrain rises well above the stack tops (Ribblesdale cement works, England). In both cases the model predictions are markedly different. At Clifty Creek, ADMS suggests that the terrain markedly increases maximum surface concentrations, whereas the AERMOD complex terrain module has little impact. At Ribblesdale, AERMOD predicts very large increases (a factor of 18) in the maximum hourly average surface concentrations due to plume impaction onto the neighboring hill; although plume impaction is predicted by ADMS, the increases in concentration are much less marked as the airflow model in ADMS predicts some lateral deviation of the streamlines around the hill. IMPLICATIONS ADMS and AERMOD are the two most widely used regulatory atmospheric dispersion models worldwide and both models are accepted or recommended for use in many countries. Consequently they are frequently used for environmental impact assessments, permitting applications, etc. It is therefore important for regulators, policy makers, and environmental consultants to understand the differences in the predictions of the models and the causes of these differences. This paper uses a hybrid model system that allows specific components of the models to be compared, with the focus in this case on the differences between the models' treatment of the impacts on dispersion of complex terrain.