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DOI10.1016/j.atmosres.2020.105159
A modeling study of PM2.5 transboundary transport during a winter severe haze episode in southern Yangtze River Delta; China
Yu Y.; Xu H.; Jiang Y.; Chen F.; Cui X.; He J.; Liu D.
发表日期2021
ISSN0169-8095
卷号248
英文摘要The WRF-CHEM (Weather Research Forecast-Chemistry) model was used to investigate a severe haze episode in Zhejiang province in southern Yangtze River Delta, China, during 28 November to 10 December 2013 to obtain the characteristics of PM2.5 transboundary transport and its contributions to haze formation. The predicted temporal variations of PM2.5 and meteorological variables are in good agreement with in-situ observations in Zhejiang. Simulated wind direction and pollution levels in upwind areas have significant effects on modeled near-surface PM2.5 concentrations. Both the large-scale atmospheric circulations and local weather conditions contributed to the accumulation of pollutants in Zhejiang, featuring the weakened East Asia trough, the dominance of a weak high pressure system, a low wind speed and a low planetary boundary layer height (PBLH) during the heavily polluted period from 4 to 7 December. The near-surface PM2.5 concentration was highly positively correlated with the accumulated PM2.5 transport mass (R = 0.88 at a lag of 7 h) and moderately negatively correlated with the PBLH (R = −0.39) during this period, indicating that the horizontal transport across Zhejiang's boundary under stable meteorological condition played important roles in the high PM2.5 concentrations. The analysis of PM2.5 transboundary transport flux shows that the main transport pathway for outside pollutants affecting Zhejiang was mainly the northerly flow. There were strong input fluxes mainly within the planetary boundary layer on 4 and 6 December before the maximum concentration occurred in the early morning on 7 December. The contribution of PM2.5 transboundary transport to the aerosol pollution in the study domain was determined by a receptor-oriented model based on the conservation of mass formula for PM2.5. The PM2.5 transboundary transport across the Zhejiang's boundary contributed 62% to the total PM2.5 increase during the severe haze episode, and the primary emission and secondary PM2.5 formation contributed 15% and 23%, respectively. This result suggests that the joint efforts with neighboring provinces to mitigate pollutant emissions are important to improve air quality in Zhejiang during winter. © 2020 Elsevier B.V.
英文关键词Haze; PM2.5; Transboundary transport; WRF-CHEM; Yangtze River Delta
语种英语
scopus关键词Air quality; Atmospheric boundary layer; Atmospheric thermodynamics; Boundary layer flow; Meteorology; River pollution; Wind; Atmospheric circulation; Conservation of mass; Local weather conditions; Maximum concentrations; Meteorological condition; Meteorological variables; Planetary boundary layers; Weather research forecasts; Weather forecasting; accumulation; air quality; concentration (composition); haze; particulate matter; pollutant transport; temporal variation; transboundary pollution; China; Yangtze Delta; Zhejiang
来源期刊Atmospheric Research
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/141719
作者单位Zhejiang Institute of Meteorological Sciences, Hangzhou, China; Zhejiang Meteorological Safety Technology Center, Hangzhou, China; Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, Ningbo, China; Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China
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Yu Y.,Xu H.,Jiang Y.,et al. A modeling study of PM2.5 transboundary transport during a winter severe haze episode in southern Yangtze River Delta; China[J],2021,248.
APA Yu Y..,Xu H..,Jiang Y..,Chen F..,Cui X..,...&Liu D..(2021).A modeling study of PM2.5 transboundary transport during a winter severe haze episode in southern Yangtze River Delta; China.Atmospheric Research,248.
MLA Yu Y.,et al."A modeling study of PM2.5 transboundary transport during a winter severe haze episode in southern Yangtze River Delta; China".Atmospheric Research 248(2021).
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