DOI: 10.1016/j.atmosenv.2017.09.034
Scopus记录号: 2-s2.0-85030318220
论文题名: An optimized inverse modelling method for determining the location and strength of a point source releasing airborne material in urban environment
作者: Efthimiou G ; C ; , Kovalets I ; V ; , Venetsanos A ; , Andronopoulos S ; , Argyropoulos C ; D ; , Kakosimos K
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 170 起始页码: 118
结束页码: 129
语种: 英语
英文关键词: ADREA-HF
; CFD
; Inverse modelling
; Source term estimation
; Urban environment
Scopus关键词: Computational fluid dynamics
; Computational geometry
; Cost functions
; Estimation
; Flow fields
; Location
; Mesh generation
; Urban planning
; Wind tunnels
; ADREA-HF
; Computational Fluid Dynamics codes
; Inverse modelling
; Quadratic cost functions
; Satisfactory estimation
; Source term estimation
; Urban environments
; Wind tunnel experiment
; Inverse problems
; algorithm
; atmospheric pollution
; computational fluid dynamics
; emission
; estimation method
; experimental study
; flow field
; inverse analysis
; modeling
; optimization
; point source pollution
; sensor
; urban atmosphere
; air pollution
; airborne particle
; algorithm
; Article
; atmospheric dispersion
; computational fluid dynamics
; hydrodynamics
; mathematical model
; priority journal
; simulation
; urban area
; wind
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: An improved inverse modelling method to estimate the location and the emission rate of an unknown point stationary source of passive atmospheric pollutant in a complex urban geometry is incorporated in the Computational Fluid Dynamics code ADREA-HF and presented in this paper. The key improvement in relation to the previous version of the method lies in a two-step segregated approach. At first only the source coordinates are analysed using a correlation function of measured and calculated concentrations. In the second step the source rate is identified by minimizing a quadratic cost function. The validation of the new algorithm is performed by simulating the MUST wind tunnel experiment. A grid-independent flow field solution is firstly attained by applying successive refinements of the computational mesh and the final wind flow is validated against the measurements quantitatively and qualitatively. The old and new versions of the source term estimation method are tested on a coarse and a fine mesh. The new method appeared to be more robust, giving satisfactory estimations of source location and emission rate on both grids. The performance of the old version of the method varied between failure and success and appeared to be sensitive to the selection of model error magnitude that needs to be inserted in its quadratic cost function. The performance of the method depends also on the number and the placement of sensors constituting the measurement network. Of significant interest for the practical application of the method in urban settings is the number of concentration sensors required to obtain a “satisfactory” determination of the source. The probability of obtaining a satisfactory solution – according to specified criteria –by the new method has been assessed as function of the number of sensors that constitute the measurement network. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82391
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Environmental Research Laboratory, INRASTES, NCSR Demokritos, Patriarchou Grigoriou & Neapoleos Str., Aghia Paraskevi, Greece; Department of Environmental Modelling, Institute of Mathematical Machine and System Problems, National Academy of Sciences of Ukraine, Kiev, Ukraine; Department of Chemical Engineering & Mary Kay ‘O Connor Process Safety Center, Texas A&M University at Qatar, Education City, PO Box 23874, Doha, Qatar
Recommended Citation:
Efthimiou G,C,, Kovalets I,et al. An optimized inverse modelling method for determining the location and strength of a point source releasing airborne material in urban environment[J]. Atmospheric Environment,2017-01-01,170