DOI: 10.1002/2014MS000385
Scopus记录号: 2-s2.0-84923171968
论文题名: Reconstructing source terms from atmospheric concentration measurements: Optimality analysis of an inversion technique
作者: Turbelin G ; , Singh S ; K ; , Issartel J ; -P
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2014
卷: 6, 期: 4 起始页码: 1244
结束页码: 1255
语种: 英语
英文关键词: Inverse problems
; Problem solving
; Wind tunnels
; Data assimilation
; Generalized inverse
; Minimum norm
; Model resolution matrixes
; Source term estimation
; Matrix algebra
; atmospheric modeling
; concentration (composition)
; data assimilation
; inverse analysis
; inverse problem
; numerical model
; optimization
; reconstruction
; wind tunnel
; England
; Surrey [England]
; United Kingdom
英文摘要: In the event of an accidental or intentional contaminant release in the atmosphere, it is imperative, for managing emergency response, to diagnose the release parameters of the source from measured data. Reconstruction of the source information exploiting measured data is called an inverse problem. To solve such a problem, several techniques are currently being developed. The first part of this paper provides a detailed description of one of them, known as the renormalization method. This technique, proposed by Issartel (2005), has been derived using an approach different from that of standard inversion methods and gives a linear solution to the continuous Source Term Estimation (STE) problem. In the second part of this paper, the discrete counterpart of this method is presented. By using matrix notation, common in data assimilation and suitable for numerical computing, it is shown that the discrete renormalized solution belongs to a family of well-known inverse solutions (minimum weighted norm solutions), which can be computed by using the concept of generalized inverse operator. It is shown that, when the weight matrix satisfies the renormalization condition, this operator satisfies the criteria used in geophysics to define good inverses. Notably, by means of the Model Resolution Matrix (MRM) formalism, we demonstrate that the renormalized solution fulfils optimal properties for the localization of single point sources. Throughout the article, the main concepts are illustrated with data from a wind tunnel experiment conducted at the Environmental Flow Research Centre at the University of Surrey, UK. © 2014. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76083
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Laboratoire de Mécanique et d'Ãnergétique d'Ãvry, Université d'Ãvry Val d'Essonne, Ãvry, France; DGA Maitrise NRBC, Vert le Petit, France
Recommended Citation:
Turbelin G,, Singh S,K,et al. Reconstructing source terms from atmospheric concentration measurements: Optimality analysis of an inversion technique[J]. Journal of Advances in Modeling Earth Systems,2014-01-01,6(4)