Air quality modeling of hazardous pollutants: Current status and future directions
Air quality modeling of hazardous pollutants: Current status and future directions
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DOI：
10.1080/10473289.2006.10464480
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发表时间：
2006-05-01
影响因子：
2.7
通讯作者：
Seigneur, C
中科院分区：
文献类型：
--
作者：
Touma, JS;Isakov, V;Seigneur, C
综述了有害污染物空气质量模拟的现状和要求。许多应用程序需要能够预测当地的影响，从工业来源或大型道路，需要社区健康特性和评估环境正义的关注。这种局部尺度建模评估可以通过使用高斯分散模型来执行。然而，这些模型处理化学转化的能力有限。新一代欧拉网格模型现在能够全面处理空气有毒物质的传输和化学转化。然而，它们通常具有粗略的空间分辨率，并且它们的计算要求随着更精细的空间分辨率而显著增加。作者提出并讨论了可能的先进的方法，可以联合收割机的网格为基础的模型与当地规模的信息。
The current requirements and status of air quality modeling of hazardous pollutants are reviewed. Many applications require the ability to predict the local impacts from industrial sources or large roadways as needed for community health characterization and evaluating environmental justice concerns. Such local-scale modeling assessments can be performed by using Gaussian dispersion models. However, these models have a limited ability to handle chemical transformations. A new generation of Eulerian grid-based models is now capable of comprehensively treating transport and chemical transformations of air toxics. However, they typically have coarse spatial resolution, and their computational requirements increase dramatically with finer spatial resolution. The authors present and discuss possible advanced approaches that can combine the grid-based models with local-scale information.