DOI: 10.1016/j.atmosenv.2018.03.028
Scopus记录号: 2-s2.0-85043770293
论文题名: Inverse identification of unknown finite-duration air pollutant release from a point source in urban environment
作者: Kovalets I ; V ; , Efthimiou G ; C ; , Andronopoulos S ; , Venetsanos A ; G ; , Argyropoulos C ; D ; , Kakosimos K ; E
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 181 起始页码: 82
结束页码: 96
语种: 英语
英文关键词: CFD model
; Data assimilation
; Hazardous pollutant
; Source inversion
; Source term estimation
; Urban atmospheric dispersion
Scopus关键词: Atmospheric movements
; Computational fluid dynamics
; Inverse problems
; Numerical methods
; Pollution
; Urban planning
; Wind tunnels
; Atmospheric dispersion
; CFD modeling
; Data assimilation
; Hazardous pollutants
; Source inversion
; Source term estimation
; Air pollution
; atmospheric modeling
; atmospheric pollution
; data assimilation
; dispersion
; inverse analysis
; point source pollution
; pollutant source
; urban ecosystem
; urban pollution
; air pollutant
; air pollution
; algorithm
; Article
; atmospheric dispersion
; computational fluid dynamics
; correlation function
; mathematical analysis
; mathematical parameters
; priority journal
; source inversion method
; source receptor function
; urban area
; Neptunia
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: In this work, we present an inverse computational method for the identification of the location, start time, duration and quantity of emitted substance of an unknown air pollution source of finite time duration in an urban environment. We considered a problem of transient pollutant dispersion under stationary meteorological fields, which is a reasonable assumption for the assimilation of available concentration measurements within 1 h from the start of an incident. We optimized the calculation of the source-receptor function by developing a method which requires integrating as many backward adjoint equations as the available measurement stations. This resulted in high numerical efficiency of the method. The source parameters are computed by maximizing the correlation function of the simulated and observed concentrations. The method has been integrated into the CFD code ADREA-HF and it has been tested successfully by performing a series of source inversion runs using the data of 200 individual realizations of puff releases, previously generated in a wind tunnel experiment. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82909
Appears in Collections: 气候变化事实与影响
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作者单位: Ukrainian Center of Environmental & Water Projects, Prosp. Glushkova, 42, Kiev, Ukraine; Institute of Mathematical Machines and Systems Problems NAS of Ukraine, Prosp. Glushkova, 42, Kiev, Ukraine; Environmental Research Laboratory, INRASTES, NCSR “Demokritos”, Patriarchou Grigoriou & Neapoleos Str., Aghia Paraskevi, Greece; 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:
Kovalets I,V,, Efthimiou G,et al. Inverse identification of unknown finite-duration air pollutant release from a point source in urban environment[J]. Atmospheric Environment,2018-01-01,181