气候变化领域集成服务门户(CCPortal): Clustering diurnal cycles of day-to-day temperature change to understand their impacts on air quality forecasting in mountain-basin areas

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DOI	10.5194/acp-21-14493-2021
	Clustering diurnal cycles of day-to-day temperature change to understand their impacts on air quality forecasting in mountain-basin areas
	Kong D.; Ning G.; Wang S.; Cong J.; Luo M.; Ni X.; Ma M.
发表日期	2021
ISSN	1680-7316
起始页码	14493
结束页码	14505
卷号	21 期号:19
英文摘要	Air pollution is substantially modulated by meteorological conditions, and especially their diurnal variations may play a key role in air quality evolution. However, the behaviors of temperature diurnal cycles along with the associated atmospheric condition and their effects on air quality in China remain poorly understood. Here, for the first time, we examine the diurnal cycles of day-to-day temperature change and reveal their impacts on winter air quality forecasting in mountain-basin areas. Three different diurnal cycles of the preceding day-to-day temperature change are identified and exhibit notably distinct effects on the day-to-day changes in atmospheric-dispersion conditions and air quality. The diurnal cycle with increasing temperature obviously enhances the atmospheric stability in the lower troposphere and suppresses the development of the planetary boundary layer, thus deteriorating the air quality on the following day. By contrast, the diurnal cycle with decreasing temperature in the morning is accompanied by a worse dispersion condition with more stable atmosphere stratification and weaker surface wind speed, thereby substantially worsening the air quality. Conversely, the diurnal cycle with decreasing temperature in the afternoon seems to improve air quality on the following day by enhancing the atmospheric-dispersion conditions on the following day. The findings reported here are critical to improve the understanding of air pollution in mountain-basin areas and exhibit promising potential for air quality forecasting. © Author 2021
语种	英语
scopus关键词	air quality; air temperature; atmospheric pollution; atmospheric transport; dispersion; diurnal variation; forecasting method; mountain region; winter; China
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246546
作者单位	Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, 400715, China; Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing, 400715, China; The Gansu Key Laboratory of Arid Climate Change and Reducing Disaster, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China; Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, Hong Kong; Sichuan Key Laboratory for Plateau Atmosphere and Environment, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610225, China; Tianjin Municipal Meteorological Observatory, Tianjin, 300074, China; School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, 510275, China
推荐引用方式 GB/T 7714	Kong D.,Ning G.,Wang S.,et al. Clustering diurnal cycles of day-to-day temperature change to understand their impacts on air quality forecasting in mountain-basin areas[J],2021,21(19).
APA	Kong D..,Ning G..,Wang S..,Cong J..,Luo M..,...&Ma M..(2021).Clustering diurnal cycles of day-to-day temperature change to understand their impacts on air quality forecasting in mountain-basin areas.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(19).
MLA	Kong D.,et al."Clustering diurnal cycles of day-to-day temperature change to understand their impacts on air quality forecasting in mountain-basin areas".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.19(2021).