西伯利亚高压对两湖盆地冬季PM<sub>2.5</sub>异常变化的驱动作用

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Abstract This study explored the correlation and physical mechanisms between the Siberian High intensity (SHI) in the East Asian winter monsoon (EAWM) and the anomalous variations of wintertime PM_2.5 in the Twain-Hu Basin with the statistical correlation analysis, atmospheric circulation diagnosis and numerical simulation, for which the PM_2.5 concentration data observed in the Twain-Hu (Hunan-Hubei) basin of central China in January from 2015 to 2022, combined with the China high air pollutant (CHAP) data and ERA5 meteorological reanalysis data, were used. The results show that the interannual PM_2.5 variations in the Twain-Hu Basin over the period from 2015 to 2022 were negatively correlated with the SHI (r = -0.82, P<0.05) when excluding the effect of anthropogenic emissions, and the PM_2.5 reanalysis of January 2000~2019 also presented a significant negative correlation with the interannual variation of SHI (r = -0.77, P<0.05), revealing that the variations in SHI of the EAWM could modulate the interannual variations in wintertime PM_2.5. Siberian High in the system of EAWM was a key factor influencing the atmospheric diffusivity for interannual anomalies of PM_2.5 in the Twain-Hu Basin. In strong (weak) SHI winters, the latitudinal-type circulation in the middle and upper troposphere was weak (strong), the zonal westerly components at high altitude was weakened (enhanced), the East Asian trough was deepened (weakened). Anomalous northerly (southerly) in the middle and low levels were the favorable (unfavorable) with cold air southward advances, and enhancing (weakening) the ventilation coefficients in the Twain-Hu Basin for the anomalous regional PM_2.5 changes. The FLEXPART-WRF simulation also verifies that the Siberian High regulated the local PM_2.5 variations by altering the atmospheric diffusivity and local accumulations in the Twain-Hu Basin.

Key words： Twain-Hu Basin PM_2.5 interannual anomalies East Asian winter monsoon (EAWM) Siberian High China high air pollutants (CHAP) FLEXPART-WRF

Received: 13 September 2022

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X513

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	Articles by authors
	YAO Jing-yan
	BAI Yong-qing
	ZHAO Tian-liang
	XIONG Jie
	ZHOU Yue
	ZHU Yan
	SUN Xiao-yun
	ZHANG Ling

Cite this article:

YAO Jing-yan,BAI Yong-qing,ZHAO Tian-liang等. Driving role of Siberian High's in the anomalous variations of winter PM_2.5 in the Twain-Hu Basin[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(7): 3312-3321.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I7/3312

[1]	张小曳,徐祥德,丁一汇,等.2013~2017年气象条件变化对中国重点地区PM2.5质量浓度下降的影响 [J]. 中国科学:地球科学, 2020, 50(4):483-500. Zhang X, Xu X, Ding Y, et al. The impact of meteorological changes from 2013 to 2017 on PM2.5 mass reduction in key regions in China [J]. Science China Earth Sciences, 2020,50(4):483-500.
[2]	Quan J, Tie X, Zhang Q, et al. Characteristics of heavy aerosol pollution during the 2012~2013 winter in Beijing, China [J]. Atmospheric Environment, 2014,88:83-89.
[3]	Luan T, Guo X, Guo L, et al. Quantifying the relationship between PM2.5 concentration, visibility and planetary boundary layer height for long-lasting haze and fog-haze mixed events in Beijing [J]. Atmospheric Chemistry and Physics, 2018,18(1):203-225.
[4]	Huang R J, Zhang Y, Bozzetti C, et al. High secondary aerosol contribution to particulate pollution during haze events in China [J]. Nature, 2014,514(7521):218-222.
[5]	张小曳.中国大气气溶胶及其气候效应的研究 [J]. 地球科学进展, 2007,22(1):12-16. Zhang X. Aerosol over China and their climate effect [J]. Advances in Earth Science, 2007,22(1):12-16.
[6]	Zhao S, Li J, Sun C. Decadal variability in the occurrence of wintertime haze in central eastern China tied to the Pacific Decadal Oscillation [J]. Scientific Reports, 2016,6(1):1-9.
[7]	Chang L, Xu J, Tie X, et al. Impact of the 2015 El Nino event on winter air quality in China [J]. Scientific Reports, 2016,6(1):1-6.
[8]	Yu X, Wang Z, Zhang H, et al. Impacts of different types and intensities of El Niño events on winter aerosols over China [J]. Science of the Total Environment, 2019,655:766-780.
[9]	Wang H, Chen H, Liu J. Arctic sea ice decline intensified haze pollution in eastern China [J]. Atmospheric and Oceanic Science Letters, 2015,8(1):1-9.
[10]	Zou Y, Wang Y, Xie Z, et al. Atmospheric teleconnection processes linking winter air stagnation and haze extremes in China with regional Arctic sea ice decline [J]. Atmospheric Chemistry and Physics, 2020, 20(8):4999-5017.
[11]	Zhao S, Feng T, Tie X, et al. Air pollution zone migrates south driven by East Asian winter monsoon and climate change [J]. Geophysical Research Letters, 2021,48(10):e2021GL092672.
[12]	丁一汇,村上滕人.亚洲季风 [M]. 北京:气象出版社, 1994. Ding Y. Monsoon over China [M]. Dordrecht: Kluwer Academic, 1994.
[13]	丁一汇,柳艳菊,梁苏洁,等.东亚冬季风的年代际变化及其与全球气候变化的可能联系 [J]. 气象学报, 2014,72(5):835-852. Dung Y, Liu Y, Liang S, et al. Interdecadal variability of the East Asian winter monsoon and its possible links to global climate change [J]. Acta Meteorologica Sinica, 2014,72(5):835-852.
[14]	王会军,范可.东亚季风近几十年来的主要变化特征 [J]. 大气科学, 2013,27(2):313-318. Wang H, Fan K. Recent changes in the East Asian monsoon [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 2013,37(2): 313-318.
[15]	Wang L, Chen W. How well do existing indices measure the strength of the East Asian winter monsoon? [J]. Advances in Atmospheric Sciences, 2010,27(4):855-870.
[16]	Li Q, Zhang R, Wang Y. Interannual variation of the wintertime fog-haze days across central and eastern China and its relation with East Asian winter monsoon [J]. International Journal of Climatology, 2016,36(1):346-354.
[17]	宋伟,吴志伟,李跃凤,等.冬季中国东部与北极之间近地面温度变化的年际联系 [J]. 气候与环境研究, 2018,23(4):463-478. Song W, Wu Z, Li Y, et al. Interannual association of the near-surface temperature between Eastern China and the Arctic in winter [J]. Climatic and Environmental Research, 2018,23(4):463−478.
[18]	Li Q, Zhang R, Wang Y. Interannual variation of the wintertime fog-haze days across central and eastern China and its relation with East Asian winter monsoon [J]. International Journal of Climatology, 2016,36(1):346-354.
[19]	张自银,龚道溢,胡淼,等.多种东亚冬季风指数及其与中国东部气候关系的比较 [J]. 地理研究, 2012,31(6):987-1003. Zhang Z, Gong D, Hu M, et al. Comparisons of the multiple East Asian winter monsoon indices and their relations to climate over eastern China [J]. Geographical Research, 2012,31(6):987-1003.
[20]	Zhao X, Zhao P, Xu J, et al. Analysis of a winter regional haze event and its formation mechanism in the North China Plain [J]. Atmospheric Chemistry and Physics, 2013,13(11):5685-5696.
[21]	Gao M, Carmichael G R, Wang Y, et al. Modeling study of the 2010 regional haze event in the North China Plain [J]. Atmospheric Chemistry and Physics, 2016,16(3):1673-1691.
[22]	Chu D A, Ferrare R, Szykman J, et al. Regional characteristics of the relationship between columnar AOD and surface PM2.5: Application of lidar aerosol extinction profiles over Baltimore-Washington Corridor during DISCOVER-AQ [J]. Atmospheric Environment, 2015,101: 338-349.
[23]	Chudnovsky A A, Koutrakis P, Kloog I, et al. Fine particulate matter predictions using high resolution Aerosol Optical Depth (AOD) retrievals [J]. Atmospheric Environment, 2014,89:189-198.
[24]	Chen H, Wang H. Haze days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012 [J]. Journal of Geophysical Research: Atmospheres, 2015,120 (12):5895-5909.
[25]	Li C, Stevens B, Marotzke J. Eurasian winter cooling in the warming hiatus of 1998~2012 [J]. Geophysical Research Letters, 2015,42(19): 8131-8139.
[26]	Mao L, Liu R, Liao W, et al. An observation-based perspective of winter haze days in four major polluted regions of China [J]. National Science Review, 2019,6(3):515-523.
[27]	Lv B, Hu Y, Chang H H, et al. Improving the accuracy of daily PM2.5 distributions derived from the fusion of ground-level measurements with aerosol optical depth observations, a case study in North China [J]. Environmental Science & Technology, 2016,50(9):4752-4759.
[28]	Zheng S, Pozzer A, Cao C X, et al. Long-term (2001~2012) concentrations of fine particulate matter (PM2.5) and the impact on human health in Beijing, China [J]. Atmospheric Chemistry and Physics, 2015,15(10):5715-5725.
[29]	Jing W, Zhang Q, Alexei L, et al. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications [J]. Remote Sensing of Environment, 2021,252:112136.
[30]	Jing W, Zhang Q, Maureen C, et al. Improved 1km resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees [J]. Atmospheric Chemistry and Physics, 2020,20(6): 3273-3289.
[31]	QX/T 144-2011 东亚冬季风指数 [S]. QX/T 144-2011 East Asian winter monsoon index [S].
[32]	张宇,李耀辉,王劲松,等.2013年7月我国南方异常持续高温成因分析 [J]. 热带气象学报, 2014,30(6):1172-1180. Zhang Y, Li Y, Wang J, et al. Analysis on the cause of the abnormally persistent high temperature in south of China in July 2013 [J]. Journal of Topical Meteorology, 2014,30(6):1172-1180.
[33]	Stohl A, Forster C, Frank A, et al. The Lagrangian particle dispersion model FLEXPART version 6.2 [J]. Atmospheric Chemistry and Physics, 2005,5(9):2461-2474.
[34]	Brioude J, Arnold D, Stohl A, et al. The Lagrangian particle dispersion model FLEXPART-WRF version 3.1 [J]. Geoscientific Model Development, 2013,6(6):1889-1904.
[35]	An X, Yao B, Li Y, et al. Tracking source area of Shangdianzi station using Lagrangian particle dispersion model of FLEXPART [J]. Meteorological Applications, 2014,21(3):466-473.
[36]	陈赛华,周广强,朱彬,等.一种快速定量估计大气污染物来源的方法 [J]. 环境科学学报, 2017,37(7):2474-2481. Chen S, Zhou G, Zhu B, et al. A method for fast quantification of air pollutant sources. Acta Scientiae Circumstantiae, 2017,37(7):2474-2481.
[37]	Hu W, Zhao T, Bai Y, et al. Regulation of synoptic circulation in regional PM2.5 transport for heavy air pollution: Study of 5-year observation over central China [J]. Journal of Geophysical Research: Atmospheres, 2022,127(13):e2021JD035937.
[38]	Zheng H, Kong S, Chen N, et al. Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 [J]. Science of the Total Environment, 2020,739: 140000.
[39]	Shen L, Zhao T, Wang H, et al. Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China [J]. Science of the Total Environment, 2021, 754:142227.
[40]	周亚端,朱宽广,黄凡,等.新冠肺炎疫情期间湖北省大气污染物减排效果评估 [J]. 环境科学与技术, 2020,43(3):228-236. Zhou Y, Zhu K, Huang F, et al. Emission reductions and air quality improvements during the COVID-19 pandemic in Hubei province [J]. Environmental Science & Technology, 2020,43(3):228-236.
[41]	谢旻,王体健,高达,等.东亚冬季风异常对区域气溶胶分布的影响 [J]. 气候与环境研究, 2021,26(4):438-448. Xie M, Wang T, Gao D, et al. Impact of anomalous East Asian Winter monsoon on the spatial distribution of aerosols over Asia [J]. Climatic and Environmental Research (in Chinese), 2021,26(4):438-448.
[42]	Hu W, Zhao T, Bai Y, et al. Importance of regional PM2.5 transport and precipitation washout in heavy air pollution in the Twain-Hu Basin over Central China: Observational analysis and WRF-Chem simulation [J]. Science of the Total Environment, 2021,758:143710.
[43]	Gong D Y, Ho C H. The Siberian High and climate change over middle to high latitude Asia [J]. Theoretical and Applied Climatology, 2002,72(1):1-9.
[44]	Wang J, Liu Y, Ding Y, et al. Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review [J]. International Journal of Climatology, 2020, 40(10):4309-4325.
[45]	Von Schneidemesser E, Monks P S, Allan J D, et al. Chemistry and the linkages between air quality and climate change [J]. Chemical Reviews, 2015,115(10):3856-3897.
[46]	Lu C, Deng Q, Liu W, et al. Characteristics of ventilation coefficient and its impact on urban air pollution [J]. Journal of Central South University, 2012,19(3):615-622.
[47]	Bai Y, Zhao T, Hu W, et al. Meteorological mechanism of regional PM2.5 transport building a receptor region for heavy air pollution over Central China [J]. Science of the Total Environment, 2022,808: 151951.
[48]	白永清,祁海霞,赵天良,等.湖北2015年冬季PM2.5重污染过程的气象输送条件及日变化特征分析 [J]. 气象学报, 2018,76(5):803-815. Bai Y, Qi H, Zhao T, et al. Analysis of meteorological conditions and diurnal variation characteristics of PM2.5 heavy pollution episodes in winter of 2015 in Hubei province [J]. Acta Meteorologica Sinica, 2018, 76(5):803-815.
[49]	Hu W, Zhao Y, Zhao T, et al. Aggravated chemical production of aerosols by regional transport and basin terrain in a heavy PM2.5 pollution episode over central China [J]. Atmospheric Environment, 2022:119489.
[50]	Shen L, Zhao T, Liu J, et al. Regional transport patterns for heavy PM2.5 pollution driven by strong cold airflows in Twain-Hu Basin, Central China [J]. Atmospheric Environment, 2022,269:118847.