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Developing State-Wide Modeling Guidance for the Use of AERMOD – A Workgroup's Experience

机译:制定用于使用Aermod的全面的建模指导 - 工作组的经验

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For over two decades, the Industrial Source Complex (ISC) dispersion model has been the primary model used to predict ambient air impacts from stationary sources, particularly in regard to regulatory considerations when permitting new or modified sources. Recent advances in dispersion modeling theory and computational power have led to major improvements over the ISC model. These improvements resulted in the creation of a new type of modeling algorithm referred to as the American Meteorological Society/U.S. Environmental Protection Agency Regulatory Modeling System (AERMOD). The U.S. Environmental Protection Agency (EPA) has proposed replacing ISC with the AERMOD dispersion model for evaluating near-field impacts for regulatory purposes, anticipating adopting it as the standard model by the end of 2005 and phasing out ISC in 2006. This action will have numerous implications for industrial facilities and regulators. AERMOD requires several additional geophysical meteorological input parameters that ISC does not utilize. Much discussion has taken place as to how these parameters should be set, but little overall guidance exists to assist modelers in determining their values. To address this lack of guidance, Louisiana Department of Environmental Quality (LDEQ) formed a Modeling Workgroup to evaluate issues with implementing AERMOD and to develop modeling guidelines for use with AERMOD within the state of Louisiana. Workgroup members performed several hypothetical case studies to (1) evaluate AERMOD’s behavior in comparison with ISC, (2) compare use of on-site meteorological data to National Weather Service (NWS) data, and (3) determine AERMOD’s sensitivity to changes in input land-use parameters. The results of these analyses are being used to develop modeling guidelines, including site-specific parameters required by AERMOD. The paper summarizes the results of analyses performed by Workgroup members, as well as recommendations made by the members. In addition, general differences between ISC and AERMOD are discussed, including processing times, land-use parameters, meteorology inputs, and treatment of terrain.
机译:超过二十年,工业来源复合物(ISC)分散模型一直是用于预测静止源的环境空气影响的主要模型,特别是在允许新的或修改的来源时的监管考虑因素。近期分散建模理论和计算能力的进步导致了对ISC模型的重大改进。这些改进导致创建一种新型的建模算法,称为美国气象学会/美国。环境保护局监管建模系统(Aermod)。美国环境保护局(EPA)已经提出用Aermod分散模型取代ISC,用于评估监管目的的近场影响,预期将其作为标准模型作为标准模型,2006年逐步淘汰ISC。此行动将有对工业设施和监管机构的大量影响。 Aermod需要几种额外的地球物理流学输入参数,即ISC不利用。对于如何设置这些参数,讨论了很多讨论,但存在很少的整体指导,以帮助建模者确定它们的值。为了解决这一缺乏指导,路易斯安那州环境质量部(LDEQ)形成了一个建模工作组,以评估实施Aermod的问题,并开发与路易斯安那州内的Aermod采用建模指南。工作组成员对(1)进行了几个假设案例研究(1)评估Aermod的行为与ISC,(2)将现场气象数据的使用与国家天气服务(NWS)数据进行比较,并且(3)确定Aermod对输入变化的敏感性土地使用参数。这些分析的结果用于开发建模指南,包括Aermod所需的特异性参数。本文总结了工作组成员的分析结果,以及成员提出的建议。此外,讨论了ISC和Aermod之间的一般差异,包括处理时间,土地使用参数,气象输入和地形处理。

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