A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes
A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes
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电厂羽流中臭氧形成的新型各向异性自适应网格光化学模型
DOI：
10.1016/j.atmosenv.2020.117431
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发表时间：
2020-05-15
影响因子：
5
通讯作者：
Pain, C. C.
中科院分区：
文献类型：
--
作者：
Zheng, J.;Fang, F.;Pain, C. C.
在这项工作中，一个先进的动态自适应非结构化网格技术被引入到光化学模拟，它提供了一个一致的方式来解决复杂的化学传输过程在广泛的空间尺度从米（近点源）到数百公里，没有高斯分布假设（通常用于现有的次网格羽状网格（PinG）模型，如RPM和SCICHEM）。为了评估新的光化学模型的性能，数值结果（氮氧化物和O-3）进行了比较，南方氧化剂研究（SOS）1999年飞机羽流测量，其中的排放强度的范围是从1.8到13.9吨/小时。在下风向66 km范围内，NOx和O-3峰值的相对误差在10%~ 20%之间。结果表明，采用动态自适应网格可以再现烟羽化学演化的细节：点源附近几公里范围内的高NOx浓度的细长烟团结构，以及烟羽生长过程中臭氧浓度的翼状结构，这是PinG模式或光化学网格模式难以捕捉的。
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 O-3) 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 O-3 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.