气候变化领域集成服务门户(CCPortal): Comparison of the impacts of empirical power-law dispersion schemes on simulations of pollutant dispersion during different atmospheric conditions

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DOI	10.1016/j.atmosenv.2020.117317
	Comparison of the impacts of empirical power-law dispersion schemes on simulations of pollutant dispersion during different atmospheric conditions
	Mao S.; Lang J.; Chen T.; Cheng S.; Cui J.; Shen Z.; Hu F.
发表日期	2020
ISSN	13522310
卷号	224
英文摘要	Accurate and rapid predictions of air pollutant dispersion are important for effective emergency responses after sudden air pollution accidents (SAPA). Notably, dispersion parameters (σ) are the key variables that influence the simulation accuracy of dispersion models. Empirical dispersion schemes based on power-law formulas are probably appropriate choices for simulations in SAPA because of the requirement for only routine meteorological data. However, performance comparisons of different schemes are lacking. In this study, the performances during simulations of air pollutant dispersion of four typical empirical parameterised schemes, i.e. BRIGGS, SMITH, Pasquill-Gifford, and Chinese National Standard (CNS), were investigated based on the GAUSSIAN plume model with datasets for the classic Prairie Grass experiments, 1956. The performances when simulating peak and overall concentrations in different Pasquill atmospheric stability classes (A, B, C, D, E, F) were quantitatively analysed through different statistical approaches. Results showed that the performances of four schemes for peak and overall concentrations were basically consistent. Scheme CNS in unstable atmospheric conditions (A, B, and C) performed significantly better than the others according to performance criteria, which included the lowest mean of absolute value of fractional biases, lowest normalised mean square errors, and largest mean values of the fraction within a factor of two when predicting peak and overall concentrations, respectively. Schemes BRIGGS and P-G exhibited slightly better performances during the neutral condition (D) followed by scheme CNS. Schemes SMITH and CNS demonstrated slight merits in predicting concentrations compared to the other schemes during stable conditions (E and F). As a whole, scheme CNS generally performed well for the different atmospheric stability classes. These analysis results can help to fill in the data gaps and improve our understanding of the influence of typical power-law function schemes on simulations of air pollutant dispersion. The results are expected to provide scientific support for air pollution predictions, especially during emergency responses to SAPA. © 2020 Elsevier Ltd
英文关键词	Atmospheric stability; Emergency response; Empirical power-law dispersion schemes; Performance evaluation; Statistical analysis; Sudden air pollution accidents
学科领域	Accidents; Atmospheric movements; Forecasting; Mean square error; Meteorology; Pollution control; Statistical methods; Atmospheric stability; Emergency response; Performance evaluation; Pollution accidents; Power-law; Air pollution; atmospheric plume; atmospheric pollution; climate conditions; comparative study; concentration (composition); dispersion; simulation; statistical analysis; accident; air pollutant; article; grass; nonhuman; plume; prairie; prediction; quantitative analysis; simulation
语种	英语
scopus关键词	Accidents; Atmospheric movements; Forecasting; Mean square error; Meteorology; Pollution control; Statistical methods; Atmospheric stability; Emergency response; Performance evaluation; Pollution accidents; Power-law; Air pollution; atmospheric plume; atmospheric pollution; climate conditions; comparative study; concentration (composition); dispersion; simulation; statistical analysis; accident; air pollutant; article; grass; nonhuman; plume; prairie; prediction; quantitative analysis; simulation
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120733
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; Guangdong Provincial Academy of Environmental Science, Guangzhou, 510045, China
推荐引用方式 GB/T 7714	Mao S.,Lang J.,Chen T.,et al. Comparison of the impacts of empirical power-law dispersion schemes on simulations of pollutant dispersion during different atmospheric conditions[J],2020,224.
APA	Mao S..,Lang J..,Chen T..,Cheng S..,Cui J..,...&Hu F..(2020).Comparison of the impacts of empirical power-law dispersion schemes on simulations of pollutant dispersion during different atmospheric conditions.Atmospheric Environment,224.
MLA	Mao S.,et al."Comparison of the impacts of empirical power-law dispersion schemes on simulations of pollutant dispersion during different atmospheric conditions".Atmospheric Environment 224(2020).