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3D photochemical dispersion models for secondary air pollutant study: from input data preparation to model performance evaluation

机译:用于二次空气污染物研究的3D光化学分散模型:从输入数据准备到模型性能评估

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Secondary air pollutants are formed through series of complex reactions occurred in the atmosphere under favorable meteorological conditions. Commonly known species are ozone and secondary aerosols, secondary inorganic and organic aerosols. Through its complexity, varieties of three dimensional (3D) photochemical dispersion models have been developed globally to simulate formations and dispersions of the secondary as well as the primary pollutants in the atmosphere. CMAQ and CAMx are the state of the science models under “one atmospheric approach”, noncommercial and open-source software. These characteristics are attracted and challenged for future air quality management via model simulations. Applications of CMAQ and CAMx are normally based on several steps: preparation of emission input, modeling set-up and model performance evaluation. This article presents the systematic procedures involved with the use of 3D photochemical models starting from theoretical principles for formation of secondary air pollutants, types of photochemical models and its associated physical and chemical modules, input data preparation including reviews on available emission inventories and lastly statistical methods for model performance evaluation.
机译:在有利的气象条件下,大气中发生的一系列复杂反应形成二次空气污染物。众所周知的物种是臭氧和二次气溶胶,二次无机和有机气溶胶。由于其复杂性,已在全球范围内开发了各种三维(3D)光化学扩散模型,以模拟大气中次要污染物和主要污染物的形成和分散。 CMAQ和CAMx是“一种大气方法”,非商业和开源软件下科学模型的状态。通过模型仿真,这些特性对于未来的空气质量管理而言是吸引和挑战。 CMAQ和CAMx的应用通常基于几个步骤:排放输入的准备,建模设置和模型性能评估。本文介绍了使用3D光化学模型涉及的系统程序,这些过程从形成二次空气污染物的理论原理,光化学模型的类型及其相关的理化模块,输入数据准备(包括对可用排放清单的审查以及最后的统计方法)开始用于模型性能评估。

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