A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes. (15th May 2020)
- Record Type:
- Journal Article
- Title:
- A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes. (15th May 2020)
- Main Title:
- A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes
- Authors:
- Zheng, J.
Fang, F.
Wang, Z.
Zhu, J.
Li, J.
Li, J.
Xiao, H.
Pain, C.C. - Abstract:
- Abstract: 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 (NO x 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 NO x 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 NO x 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. Highlights: A single unified integrated photochemical model (Fluidity-Chem). Introduction of advanced anisotropic dynamic meshes to photochemical modeling. Improved accuracy by resolving the details of chemical and transport processes. A good agreement between numerical results and aircraft plume measurements.
- Is Part Of:
- Atmospheric environment. Volume 229(2020)
- Journal:
- Atmospheric environment
- Issue:
- Volume 229(2020)
- Issue Display:
- Volume 229, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 229
- Issue:
- 2020
- Issue Sort Value:
- 2020-0229-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05-15
- Subjects:
- Adaptive meshes -- PinG -- Ozone -- Plume -- Photochemical model -- CBM-Z -- Fluidity-Chem
Air -- Pollution -- Periodicals
Air -- Pollution -- Meteorological aspects -- Periodicals
551.51 - Journal URLs:
- http://www.sciencedirect.com/web-editions/journal/13522310 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.atmosenv.2020.117431 ↗
- Languages:
- English
- ISSNs:
- 1352-2310
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1767.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13626.xml