globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2014.04.012
Scopus记录号: 2-s2.0-84898923078
论文题名:
A least-squares inversion technique for identification of a point release: Application to Fusion Field Trials 2007
作者: Singh S; K; , Rani R
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 92
起始页码: 104
结束页码: 117
语种: 英语
英文关键词: FFT07 ; Inverse modelling ; Least-squares ; Source estimation
Scopus关键词: Estimation ; Identification (control systems) ; Sensitivity analysis ; FFT07 ; Inverse modelling ; Least Square ; Least-squares inversion ; Parametric estimation ; Posterior uncertainties ; Source estimation ; Source identification ; Parameter estimation ; algorithm ; estimation method ; identification method ; least squares method ; measurement method ; point source ; algorithm ; article ; chemical reaction ; dispersion ; environmental parameters ; ionization ; least square inversion ; measurement ; prediction ; priority journal ; regression analysis ; simulation
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: Identification of a point release is a parametric estimation problem associated with the estimation of its parameters namely, location and strength. A least-squares inversion algorithm, free from initial guess of release parameters, is utilized here for the source identification in eleven trials of single continuous point releases conducted during Fusion Field Trials 2007. The source locations are retrieved within an average error of 23m from their true locations. The maximum and minimum errors in the retrieval of the source location are obtained as 57.3m and 3m respectively. The source strength is retrieved within a factor of 1.6 in all the trials. The sensitivity of the source estimation is analysed with respect to (i) variation of grid sizes in discretized space, (ii) inclusion of zero measurements and (iii) addition of new measurements. Posterior uncertainty is mentioned in terms of variance of the source parameters, approximated by using the Hessian of the cost function. In addition, an attempt is made to obtain the minimum number of measurements for a successful source inversion. The study explores the future applicability of this least-squares inversion technique for point source identification. © 2014 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80941
Appears in Collections:气候变化事实与影响

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作者单位: Laboratory of Mechanics and Energy, Universite d'Evry-Val d'Essonne, 40 Rue Du Pelvoux, 91080 Courcouronnes, Evry Cedex, France; Centre for Atmospheric Sciences, Indian Institute of Technology Delhi 110016, India

Recommended Citation:
Singh S,K,, Rani R. A least-squares inversion technique for identification of a point release: Application to Fusion Field Trials 2007[J]. Atmospheric Environment,2014-01-01,92
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