DOI: 10.1016/j.atmosenv.2020.117572
论文题名: Impacts of typical atmospheric dispersion schemes on source inversion
作者: Mao S. ; Lang J. ; Chen T. ; Cheng S. ; Wang C. ; Zhang J. ; Hu F.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 232 语种: 英语
英文关键词: Air pollution
; Algorithm selection
; Atmospheric conditions
; Atmospheric dispersion
; Atmospheric stability class
; Average absolute relative deviations
; Chinese national standard
; Dispersion parameters
; Unknown source parameters
; Atmospheric movements
; algorithm
; atmospheric pollution
; atmospheric transport
; data inversion
; dispersion
; pollutant transport
; ranking
; source apportionment
; accident
; algorithm
; article
; atmospheric dispersion
; grass
; nonhuman
; prairie
学科: Atmospheric dispersion conditions
; Empirical dispersion schemes
; Performance evaluation
; Source inversion
; Sudden air pollution accidents
中文摘要: Accurate source inversion for sudden air pollution accidents (SAPAs) relies on forward dispersion models, and the dispersion parameter scheme is the key factor for modeling performance. However, the impacts of different schemes on source inversion have yet to be investigated. In this study, the performance of source inversion based on four empirical power-law dispersion schemes—BRIGGS, SMITH, Pasquill-Gifford (P-G), and Chinese National Standard (CNS) schemes—was evaluated using the data set from the 1956 Prairie Grass experiment. The inversion performance of each dispersion scheme was assessed with both single (source strength) and multiple (source strength and location) unknown source parameters under six different atmospheric stability classes (A, B, C, D, E, and F) and the schemes exhibited substantially different performances. With a single unknown source parameter, the four schemes demonstrated excellent robustness. The estimation results of BRIGGS, P-G, and CNS exhibited comparable accuracy to similar average absolute relative deviations (ARD, 33.3–37.5%) and better accuracy than SMITH. The CNS scheme performed the best (37.6%) in unstable atmospheric conditions (A, B, and C), P-G and BRIGGS were comparable and performed the best (26.3% and 25.4%, respectively) in neutral atmospheric conditions (D), and the four schemes exhibited similar performances (28.3–31.3%) in stable atmospheric conditions (E and F). When location was also unknown, the source strength accuracy ranking was P-G (31.6%) > SMITH (43.2%) > CNS (50.6%) > BRIGGS (80.1%); however, the robustness of the P-G, SMITH, and CNS schemes was poor. Further analysis revealed that the differences in the schemes' inversion errors were significantly higher than those of algorithms from previous studies, which implies that scheme selection had a greater influence on source inversion than the algorithm selection. The results of this study can improve our understanding of the factors that influence source inversion. © 2020 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160313
Appears in Collections: 气候变化与战略
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作者单位: Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental & Energy Engineering, Beijing University of Technology, Beijing, 100124, China
Recommended Citation:
Mao S.,Lang J.,Chen T.,et al. Impacts of typical atmospheric dispersion schemes on source inversion[J]. Atmospheric Environment,2020-01-01,232