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DOI | 10.1016/j.atmosenv.2020.117431 |
A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes | |
Zheng J.; Fang F.; Wang Z.; Zhu J.; Li J.; Xiao H.; Pain C.C. | |
发表日期 | 2020 |
ISSN | 1352-2310 |
卷号 | 229 |
英文摘要 | In this work, an advanced dynamically adaptive unstructured mesh technique is introduced to photochemical modeling, which provides a consistent way to resolve the complex chemical transport processes over a wide range of spatial scales from meters (near point sources) up to hundred kilometers without the Gaussian distribution assumption (often used in existing subgrid Plume-in-Grid (PinG) models, such as RPM and SCICHEM). To assess the performance of the new photochemical model, the numerical results (NOx and O3) have been compared to the Southern Oxidants Study (SOS) 1999 aircraft plume measurements, where the range of the emission intensity is from 1.8 to 13.9 ton/h. The relative error in the peak value of NOx and O3 is between 10%–20% within 66 km downwind distance. The results show that the use of dynamically adaptive meshes can reproduce the details of the plume chemistry evolution: the slender puff structure of high NOx concentrations within a few kilometers width near the point sources, and the wing-like structure of ozone concentration during the plume growth, which is hard to capture for the PinG models or photochemical grid models. © 2020 Elsevier Ltd |
关键词 | Adaptive meshesCBM-ZFluidity-ChemOzonePhotochemical modelPinGPlume |
语种 | 英语 |
scopus关键词 | Mesh generation; Ozone; Adaptive meshes; Adaptive unstructured meshes; Aircraft plumes; Complex chemicals; Emission intensity; Numerical results; Ozone concentration; Photochemical modeling; Nitrogen oxides; nitrogen oxide; ozone; anisotropy; concentration (composition); numerical model; ozone; photochemistry; plume; power plant; advection; air quality; aircraft; anisotropy; Article; chemical model; chemical reaction; comparative study; computational fluid dynamics; concentration (parameter); controlled study; diffusion; eddy diffusivity; electric power plant; ozonation; photochemistry; plume; priority journal; simulation; troposphere; Neptunia |
来源期刊 | ATMOSPHERIC ENVIRONMENT
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/249214 |
作者单位 | Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Department of Earth Science and Engineering, Imperial College London, Ireland; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China |
推荐引用方式 GB/T 7714 | Zheng J.,Fang F.,Wang Z.,et al. A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes[J],2020,229. |
APA | Zheng J..,Fang F..,Wang Z..,Zhu J..,Li J..,...&Pain C.C..(2020).A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes.ATMOSPHERIC ENVIRONMENT,229. |
MLA | Zheng J.,et al."A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes".ATMOSPHERIC ENVIRONMENT 229(2020). |
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