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Development of a Spreadsheet for Computing Downwind Concentrations Based on the USEPA's AERMOD Model

机译:基于USEPA的AERMOD模型开发用于计算顺风浓度的电子表格

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摘要

Atmospheric dispersion models have evolved rapidly over a period of time since the passage of the United States Clean Air Act in 1970. The use of atmospheric dispersion models in predicting downwind contaminant concentrations from industrial sources has been increasing with growing public concern on air pollution around the world. These models help industrial facilities determine if they are in compliance with the National Ambient Air Quality Standards (NAAQS) or not. A typical dispersion model estimates contaminant concentrations based on mathematical equations that include variables related to atmospheric conditions, geographical conditions, characteristics of the facility, and properties of contaminants emitted from an industrial source. There are numerous air pollutant dispersion models that range from simple box models to numerical fluid dynamics models to help predict downwind contaminant concentrations from different sources as follows: point source, area source, and volume source.
机译:自1970年美国《清洁空气法案》通过以来,大气扩散模型在一段时间内发展迅速。随着公众越来越关注大气污染,人们越来越多地使用大气扩散模型来预测工业来源的顺风污染物浓度。世界。这些模型可帮助工业设施确定它们是否符合国家环境空气质量标准(NAAQS)。典型的扩散模型基于数学方程式估算污染物浓度,该数学方程式包括与大气条件,地理条件,设施的特征以及从工业源排放的污染物的性质有关的变量。从简单的箱形模型到数值流体动力学模型,都有大量的空气污染物扩散模型,可帮助预测来自不同来源的顺风污染物浓度,如下所示:点源,面源和体积源。

著录项

  • 来源
    《Environmental progress & sustainable energy》 |2009年第2期|185-191|共7页
  • 作者单位

    Department of Civil Engineering, The University of Toledo, Toledo, OH 43606;

    Department of Civil Engineering, The University of Toledo, Toledo, OH 43606;

    Department of Civil Engineering, The University of Toledo, Toledo, OH 43606;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:29:40

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