DOI: 10.1016/j.atmosenv.2017.10.043
Scopus记录号: 2-s2.0-85032366244
论文题名: Performance evaluation of dispersion parameterization schemes in the plume simulation of FFT-07 diffusion experiment
作者: Pandey G ; , Sharan M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 172 起始页码: 32
结束页码: 46
语种: 英语
英文关键词: Bootstrap re-sampling
; IIT model
; Performance evaluation
; Sigma schemes
; Statistical analysis
Scopus关键词: Air quality
; Atmospheric movements
; Dispersions
; Parameter estimation
; Sampling
; Statistical methods
; Atmospheric dispersion models
; Bootstrap re-sampling techniques
; Bootstrap resampling
; Concentration distributions
; Indian institute of technologies
; Performance evaluation
; Sigma schemes
; Statistical significance
; Quality control
; air quality
; atmospheric plume
; bootstrapping
; data set
; dispersion
; experimental study
; Lagrangian analysis
; numerical method
; parameterization
; performance assessment
; sampling
; statistical analysis
; wind velocity
; air quality
; Article
; atmospheric dispersion
; bootstrapping
; boundary layer
; controlled study
; empirical research
; ionization
; light
; mathematical parameters
; maximum concentration
; plume dispersion
; priority journal
; qualitative analysis
; quantitative analysis
; statistical analysis
; surface property
; velocity
; United States
; Utah
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: Application of atmospheric dispersion models in air quality analysis requires a proper representation of the vertical and horizontal growth of the plume. For this purpose, various schemes for the parameterization of dispersion parameters σ′s are described in both stable and unstable conditions. These schemes differ on the use of (i) extent of availability of on-site measurements (ii) formulations developed for other sites and (iii) empirical relations. The performance of these schemes is evaluated in an earlier developed IIT (Indian Institute of Technology) dispersion model with the data set in single and multiple releases conducted at Fusion Field Trials, Dugway Proving Ground, Utah 2007. Qualitative and quantitative evaluation of the relative performance of all the schemes is carried out in both stable and unstable conditions in the light of (i) peak/maximum concentrations, and (ii) overall concentration distribution. The blocked bootstrap resampling technique is adopted to investigate the statistical significance of the differences in performances of each of the schemes by computing 95% confidence limits on the parameters FB and NMSE. The various analysis based on some selected statistical measures indicated consistency in the qualitative and quantitative performances of σ schemes. The scheme which is based on standard deviation of wind velocity fluctuations and Lagrangian time scales exhibits a relatively better performance in predicting the peak as well as the lateral spread. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83143
Appears in Collections: 气候变化事实与影响
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作者单位: Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India
Recommended Citation:
Pandey G,, Sharan M. Performance evaluation of dispersion parameterization schemes in the plume simulation of FFT-07 diffusion experiment[J]. Atmospheric Environment,2018-01-01,172