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DOI	10.1016/j.atmosenv.2020.117860
	Estimating fugitive particle emission from coal storage yard of thermal power plant using the flux-gradient method
	Kim S.; Kim J.; Choi I.; Li H.; Kang J.H.; Eo H.J.
发表日期	2020
ISSN	1352-2310
卷号	243
英文摘要	In this paper, a 3D sonic anemometer and two optical particulate sensors were used to observe fugitive particulate matter 10 μm (PM10) emission from the coal storage yard of a thermal power plant for one month. The PM10 emission flux was calculated using the flux gradient method. The results show that the heat flux, convective velocity, and PM10 emission flux have obvious diurnal variation. The PM10 emission flux is positively correlated with heat flux, convective velocity, and frictional velocity, but negatively correlated with humidity. Based on the convective velocity, friction velocity and humidity as the independent variables, a multivariate regression model of PM10 emission flux was constructed. The prediction results of the model are in good agreement with the experimental values. The emission flux of PM10 can also be estimated quasi-quantitatively according to the value of gradient Richardson number (Ri). There are two time windows for PM10 emissions, namely the discharge window period (9:00–20:00) and the static window period (20:00–9:00 of next day).In order to reduce PM10 emissions more effectively, artificial climate intervention such as watering, spraying, and other measures should be carried out during the discharge window period. Studies have shown that the flux gradient method can be successfully used to accurately measure the PM10 emission flux of a coal storage yard. This study also provides useful recommendations for real-time monitoring and controlling PM10 emissions from coal storage sites. © 2020 Elsevier Ltd
关键词	Atmospheric boundary layer Dust control Eddy covariance Eddy diffusivity Monin–obukhov similarity theory Turbulence
语种	英语
scopus关键词	Coal; Fossil fuel power plants; Friction; Gradient methods; Heat convection; Heat flux; Regression analysis; Thermoelectric power plants; Velocity; Convective velocity; Flux-gradient methods; Frictional velocity; Independent variables; Multivariate regression models; Particulate matter 10; Real-time monitoring and controlling; Thermal power plants; Coal storage; coal; coal; diurnal variation; emission; estimation method; flux measurement; particulate matter; sensor; thermal power; air temperature; Article; atmospheric particulate matter; atmospheric transport; boundary layer; circadian rhythm; eddy diffusivity; electric power plant; heating; humidity; particulate matter; particulate matter 10; prediction; priority journal; quantitative analysis; solar radiation; storage; surface property; suspended particulate matter; temperature measurement; thermodynamics; velocity; water vapor; wind erosion; wind speed
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/248900
作者单位	Department of Environmental Engineering, Daejeon University, 62 Daehak-Ro, Dong-Gu, Daejeon, 34520, South Korea; Envors Co., Ltd. Biraeseoro 54-1, Dong gu, Daejeon, 34528, South Korea
推荐引用方式 GB/T 7714	Kim S.,Kim J.,Choi I.,et al. Estimating fugitive particle emission from coal storage yard of thermal power plant using the flux-gradient method[J],2020,243.
APA	Kim S.,Kim J.,Choi I.,Li H.,Kang J.H.,&Eo H.J..(2020).Estimating fugitive particle emission from coal storage yard of thermal power plant using the flux-gradient method.ATMOSPHERIC ENVIRONMENT,243.
MLA	Kim S.,et al."Estimating fugitive particle emission from coal storage yard of thermal power plant using the flux-gradient method".ATMOSPHERIC ENVIRONMENT 243(2020).