DOI: 10.1016/j.atmosenv.2014.07.021
Scopus记录号: 2-s2.0-84904259268
论文题名: Reduced order modelling of an unstructured mesh air pollution model and application in 2D/3D urban street canyons
作者: Fang F ; , Zhang T ; , Pavlidis D ; , Pain C ; C ; , Buchan A ; G ; , Navon I ; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 96 起始页码: 96
结束页码: 106
语种: 英语
英文关键词: Air pollution
; Finite element
; Proper orthogonal decomposition
; Reduced order modelling
Scopus关键词: Air pollution
; Principal component analysis
; Turbulence models
; Air Pollution Modeling
; Computational requirements
; Proper orthogonal decompositions
; Quadratic expansion
; Reduced order modelling
; Reduced order models
; Unstructured meshes
; Urban street canyon
; Finite element method
; atmospheric modeling
; atmospheric pollution
; canyon
; computer simulation
; resolution
; three-dimensional modeling
; two-dimensional modeling
; urban pollution
; air pollution
; airflow
; article
; dispersion
; finite element analysis
; landscape
; large eddy simulation
; model
; nonlinear system
; priority journal
; proper orthogonal decomposition
; reduced order model
; simulation
; urban area
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: A novel reduced order model (ROM) based on proper orthogonal decomposition (POD) has been developed for a finite-element (FE) adaptive mesh air pollution model. A quadratic expansion of the non-linear terms is employed to ensure the method remained efficient. This is the first time such an approach has been applied to air pollution LES turbulent simulation through three dimensional landscapes. The novelty of this work also includes POD's application within a FE-LES turbulence model that uses adaptive resolution. The accuracy of the reduced order model is assessed and validated for a range of 2D and 3D urban street canyon flow problems. By comparing the POD solutions against the fine detail solutions obtained from the full FE model it is shown that the accuracy is maintained, where fine details of the air flows are captured, whilst the computational requirements are reduced. In the examples presented below the size of the reduced order models is reduced by factors up to 2400 in comparison to the full FE model while the CPU time is reduced by up to 98% of that required by the full model. © 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81020
Appears in Collections: 气候变化事实与影响
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作者单位: Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, Prince Consort Road, London SW7 2BP, United Kingdom; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China; Department of Scientific Computing, Florida State University, Tallahassee, FL 32306-4120, United States
Recommended Citation:
Fang F,, Zhang T,, Pavlidis D,et al. Reduced order modelling of an unstructured mesh air pollution model and application in 2D/3D urban street canyons[J]. Atmospheric Environment,2014-01-01,96