DOI: 10.1016/j.atmosenv.2014.02.054
Scopus记录号: 2-s2.0-84896269660
论文题名: Performance evaluation of AERMOD, CALPUFF, and legacy air dispersion models using the Winter Validation Tracer Study dataset
作者: Rood A ; S
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 89 起始页码: 707
结束页码: 720
语种: 英语
英文关键词: AERMOD
; Air dispersion models
; CALPUFF
; Tracer
; Validation
Scopus关键词: Computational fluid dynamics
; Lagrange multipliers
; Odor control
; Regulatory compliance
; AERMOD
; Air dispersion model
; Calpuff
; Tracer
; Validation
; Dispersions
; atmospheric plume
; atmospheric pollution
; compliance
; data set
; dispersion
; ensemble forecasting
; Lagrangian analysis
; model validation
; performance assessment
; spatiotemporal analysis
; steady-state equilibrium
; tracer
; aermod air dispersion model
; article
; atmospheric dispersion
; atmospheric transport
; callpuff air dispersion model
; controlled study
; plume dispersion
; priority journal
; prospective study
; retrospective study
; steady state
; Colorado
; Denver
; United States
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: The performance of the steady-state air dispersion models AERMOD and Industrial Source Complex 2 (ISC2), and Lagrangian puff models CALPUFF and RATCHET were evaluated using the Winter Validation Tracer Study dataset. The Winter Validation Tracer Study was performed in February 1991 at the former Rocky Flats Environmental Technology Site near Denver, Colorado. Twelve, 11-htests were conducted where a conservative tracer was released and measured hourly at 140 samplers in concentric rings 8km and 16km from the release point. Performance objectives were unpaired maximum one- and nine-hour average concentration, location of plume maximum, plume impact area, arc-integrated concentration, unpaired nine-hour average concentration, and paired ensemble means. Performance objectives were aimed at addressing regulatory compliance, and dose reconstruction assessment questions. The objective of regulatory compliance is not to underestimate maximum concentrations whereas for dose reconstruction, the objective is an unbiased estimate of concentration in space and time. Performance measures included the fractional bias, normalized mean square error, geometric mean, geometric mean variance, correlation coefficient, and fraction of observations within a factor of two. The Lagrangian puff models tended to exhibit the smallest variance, highest correlation, and highest number of predictions within a factor of two compared to the steady-state models at both the 8-km and 16-km distance. Maximum one- and nine-hour average concentrations were less likely to be under-predicted by the steady-state models compared to the Lagrangian puff models. The characteristic of the steady-state models not to under-predict maximum concentrations make them well suited for regulatory compliance demonstration, whereas the Lagrangian puff models are better suited for dose reconstruction and long range transport. © 2014 The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81252
Appears in Collections: 气候变化事实与影响
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作者单位: K-Spar Inc., 4835 W. Foxtrail Lane, Idaho Falls, ID 83402, United States
Recommended Citation:
Rood A,S. Performance evaluation of AERMOD, CALPUFF, and legacy air dispersion models using the Winter Validation Tracer Study dataset[J]. Atmospheric Environment,2014-01-01,89