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Characteristics and comparative of typical haze weather during autumn and winter in the Yangtze River Delta |
PENG Wei, LI Yun-dan, KANG Na, ZHU Bin, YU Xing-na |
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China |
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Abstract To summarize the correlation influential factors, characteristics, and commonness under haze weather conditions, eight cities in the Yangtze River Delta and seven typical haze pollution processes were selected that occurred during the winter and autumn from 2016 to 2019. Based on the Air Quality Index (AQI) of the three most representative processes, PM2.5 concentrations, meteorological factors, synoptic weather situation, atmospheric boundary layer characteristics, and pollution sources for the three haze processes were analyzed and found contrast with one another. The results showed that the unfavourable meteorological condition and the stagnant weather patterns due to the configuration of high and low altitude resulted in the formation of extreme haze condition. The peak values of the AQI in three representative processes were 247, 306 and 272, respectively, which were consistent with the change of PM2.5 concentration. There was an obvious negative correlation between PM2.5 concentration and visibility, the valley values of visibility were observed as low as 50m in the second and third haze processes. Generally, the pollution processes occur with low visibility. High relative humidity, stable temperature, and static wind were closely related to the formation of the haze process. In general, the AQI illustrated a negative correlation with mixed layer height. A lower mixed layer height affected the level of vertical convection of air contributed to the regional accumulation of substances at low altitude, and the minimum heights of the mixed layer in the three pollution processes were less than 100m. The inversion layer was conducive to high concentrations of pollution during haze pollution processes. On the one hand, the pollutants were trapped in the surface by the ground inversion layer, where the intensity of the ground inversion layer was up to 8.2℃ in the first process. On the other hand, the untouched ground inversion layer inhibited the vertical dispersion of pollutants in the atmospheric boundary layer; the second process was dominated by the untouched ground inversion for which the intensity reached to 4.8℃. Aerosol sources were mostly from the dust, polluted continental, polluted dust, and smoke. Air pollution was affected by the joint influence of local emission, regional transport, and long-range transport. The fine particles due to anthropogenic factors carried by the air mass were a major contributor to the pollution.
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Received: 04 December 2020
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|
[1] |
Chan C K, Yao X H. Air pollution in mega cities in China[J]. Atmospheric Environment, 2008,42:1-42.
|
[2] |
王飞,朱彬,康汉青,等.影响南京地区的两次典型空气污染过程分析[J]. 环境科学, 2012,33(10):3647-3655. Wang F, Zhu B, Kang H Q, et al. Analysis of the impact of two typical air pollution events on the air quality of Nanjing[J]. Environmental Science, 2012,33(10):3647-3655.
|
[3] |
康娜,胡康,Kanike Raghavendra Kumar,等.2015年10月南京霾污染过程分析[J]. 环境科学研究, 2017,30(12):1832-1840. Kang N, Hu K, Kumar K R, et al. Analysis of haze weather process in Nanjing City in October 2015[J]. Research of Environmental Sciences, 2017,30(12):1832-1840.
|
[4] |
Hou X W, Zhu B, Kanike Raghavendra Kumar, et al. Inter-annual variability in fine particulate matter pollution over China during 2013~2018:Role of meteorology[J]. Atmospheric Environment, 2019, 214:116842.
|
[5] |
Seibert P, Beyrich F, Gryning S E, et al. Review and intercomparison of operational methods for the determination of the mixing height[J]. Atmospheric Environment, 2000,34(7):1001-1027.
|
[6] |
贾梦唯,康娜,赵天良.南京秋冬季典型霾污染过程及边界层特征分析[J]. 环境科学与技术, 2014,37(S2):105-110. Jia M W, Kang N, Zhao T L. Characteristics of typical autumn and winter haze pollution episodes and their boundary layer in Nanjing[J]. Environmental Science & Technology, 2014,37(S2):105-110.
|
[7] |
Li Q, Wu B, Liu J, et al. Characteristics of the atmospheric boundary layer and its relation with PM2.5 during haze episodes in winter in the north China Plain[J]. Atmospheric Environment, 2020,223(C):117265.
|
[8] |
Zhong J T, Zhang X Y, Wang Y Q, et al. Heavy aerosol pollution episodes in winter Beijing enhanced by radiative cooling effects of aerosols[J]. Atmospheric Research, 2018a,209:59-64.
|
[9] |
Miao Y C, Liu S H. Linkages between aerosol pollution and planetary boundary layer structure in China[J]. Science of the Total Environment, 2019,650:288-296.
|
[10] |
王建英,崔洋,史霖,等.银川市冬季两次典型持续大气污染过程对比分析[J]. 环境科学研究, 2020,33(3):555-562. Wang J Y, Cui Y, Shi L, et al. Comparative study of two typical continuous air pollution processes in Yinchuan city in winter[J]. Research of Environmental Sciences, 2020,33(3):555-562.
|
[11] |
崔萌,安兴琴,范广洲,等.北京一次重污染过程的天气成因及来源分析[J]. 中国环境科学, 2018,38(10):3628-3638. Cui M, An X Q, Fan G Z, et al. The analysis of weather causes and sources of a heavy pollution process in Beijing[J]. China Environmental Science, 2018,38(10):3628-3638.
|
[12] |
Du C L, Liu S Y, Yu X, et al. Urban boundary layer height characteristics and relationship with particulate matter mass concentration in Xi'an, central China[J]. Aerosol and Air Quality Research, 2013,13(5):1598-1607.
|
[13] |
Quan J N, Gao Y, Zhang Q, et al. Evolution of planetary boundary layer under different weather conditions, and its impact on aerosol concentration[J]. Particuology, 2013,11(1):34-40.
|
[14] |
Zou J, Sun J N, Ding A J, et al. Observation-based estimation of aerosol-induced reduction of planetary boundary layer height[J]. Advances in Atmospheric Sciences, 2017,34:1057-1068.
|
[15] |
Qu Y W, Han Y, Wu Y H, et al. Study of PBLH and its correlation with particulate matter from one-year observation over Nanjing, Southeast China[J]. Remote Sensing, 2017,9(7):668.
|
[16] |
Ara Begum B, Kim E, Jeong C H, et al. Evaluation of the potential source contribution function using the 2002Quebec forest fire episode[J]. Atmospheric Environment, 2005,39(20):3719-3724.
|
[17] |
谢放尖,陆晓波,杨峰,等.2017年春夏期间南京地区臭氧污染输送影响及潜在源区[J]. 环境科学, 2021,42(1):88-96. Xie F J, Lu X B, Yang F, et al. Transport influence and potential sources of ozone pollution for Nanjing during spring and summer in 2017[J]. Environmental Science, 2021,42(1):88-96.
|
[18] |
周沙,刘宁,刘朝顺.2013-2015年上海市霾污染事件潜在源区贡献分析[J]. 环境科学学报, 2017,37(5):1835-1842. Zhou S, Liu N, Liu C S. Identification for potential sources for haze events in Shanghai from 2013 to 2015[J]. Acta Scientiae Circumstantiae, 2017,37(5):1835-1842.
|
[19] |
GB3095-2012环境空气质量标准[S]. GB3095-2012 Ambient air quality standards[S].
|
[20] |
辛艾萱,何超,彭韵曦,等.武汉市大气污染物时空分布与区域传输贡献[J]. 环境科学与技术, 2020,43(9):170-181. Xin A X, He C, Peng Y X, et al. Spatiotemporal pattern and regional transport contribution of air pollutants in Wuhan City[J]. Environmental Science & Technology, 2020,43(9):170-181.
|
[21] |
黄仲文,彭成辉,杨梦蓉,等.舟山市PM2.5的输送路径和潜在来源分析[J]. 环境污染与防治, 2018,40(2):181-185. Huang Z W, Peng C H, Yang M R, et al. Transport pathways and potential sources of PM2.5 in Zhoushan[J]. Environment Pollution and Control, 2018,40(2):181-185.
|
[22] |
王茜.利用轨迹模式研究上海大气污染的输送来源[J]. 环境科学研究, 2013,26(4):357-363. Wang Q. Study of air pollution transportation source in Shanghai using trajectory model[J]. Research of Environmental Science, 2013,26(4):357-363.
|
[23] |
Zhao L, Wang L T, Tan J H, et al. Changes of chemical composition and source apportionment of PM2.5[J]. Atmospheric Environment, 2019,206:119-131.
|
[24] |
卢文,王红磊,朱彬,等.南京江北2014~2016年PM2.5质量浓度分布特征及气象和传输影响因素分析[J]. 环境科学学报, 2019,39(4):1039-1048. Lu W, Wang H L, Zhu B, et al. Distribution characteristics of PM2.5 mass concentration and their impacting factors including meteorology and transmission in North Suburb of Nanjing during 2014 to 2016[J]. Acta Scientiae Circumstantiae, 2019,39(4):1039-1048.
|
[25] |
蒋维楣,孙鉴泞,曹文俊,等.空气污染气象学教程(第二版)[M]. 北京:气象出版社, 2004. Jiang W M, Sun J N, Cao W J, et al. Air pollution meteorology[M]. Beijing:China Meteorological Press, 2004.
|
[26] |
翟华,朱彬,赵雪婷,等.长江三角洲初冬一次重污染天气成因分析[J]. 中国环境科学, 2018,38(11):4001-4009. Zhai H, Zhu B, Zhao X T, et al. Analysis of a heavy air pollution event in early winter in the Yangtze River Delta[J]. China Environmental Science, 2018,38(11):4001-4009.
|
[27] |
尉鹏,任阵海,王文杰,等.2014年10月中国东部持续重污染天气成因分析[J]. 环境科学研究, 2015,28(5):676-683. Wei P, Ren Z H, Wang W J, et al. Analysis of meteorological conditions and formation mechanisms of lasting heavy air pollution in eastern China in October 2014[J]. Research of Environmental Sciences, 2015,28(5):676-683.
|
[28] |
韩博威,马晓燕.2014~2018年冬季长三角强霾事件及天气形势影响分析[J]. 环境科学学报, 2020,40(7):2333-2345. Han B W, Ma X Y. Analysis of the severe haze events in the Yangtze Rivere Delta during the winter of 2014-2018and the impact of the weather situation on severe haze[J]. Acta Scientiae Circumstantiae, 2020,40(7):2333-2345.
|
[29] |
Patricia K, Quinn, Timothy S Bates. North American, Asian, and Indian haze:Similar regional impacts on climate[J]. Geophysical Research Letters, 2003,30(11):1555-1599.
|
[30] |
吴兑,廖国莲,邓雪娇,等.珠江三角洲霾天气的近地层输送条件研究[J]. 应用气象学报, 2008,19(1):1-9. Wu D, Liao G L, Deng X J, et al. Transport condition of surface layer under haze weather over the Pearl River Delta[J]. Journal Of Applied Meteorological Science, 2008,19(1):1-9.
|
[31] |
梁俊宁,高敏,王珊,等.西安市一次严重霾污染天气特征及气象条件分析[J]. 环境工程, 2016,34(8):104-109. Liang J N, Gao M, Wang S, et al. Analysis on meteorological condition and charateristics of a severe haze pollution in Xi'an,China[J]. Environmental Engineering, 2016,34(8):104-109.
|
[32] |
魏建苏,孙燕,严文莲,等.南京霾天气的特征分析和影响因素初探[J]. 气象科学, 2010,30(6):868-873. Wei J S, Sun Y, Yan W L, et al. The preliminary study on characteristics and affecting factors of haze weather in Nanjing[J]. Journal of the Meteorological Sciences, 2010,30(6):868-873.
|
[33] |
叶兴南,陈建民.灰霾与颗粒物吸湿增长[J]. 自然杂志, 2013,35(5):337-341. Ye X N, Chen J M. Haze and hygroscopic growth[J]. Chinese Journal of Nature, 2013,35(5):337-341.
|
[34] |
盛裴轩,毛节泰,李建国,等.大气物理学[M]. 北京:北京大学出版社, 2003:165. Sheng P X, Mao J T, Li J G, et al. Atmospheric physics[M]. Beijing:Peking University Press, 2003:165.
|
[35] |
俞科爱,陈磊,张晶晶,等.浙江省大气混合层高度变化特征分析[J]. 气象科技, 2017,45(4):735-744. Yu K A, Chen L, Zhang J J, et al. Variation characteristics of atmospheric mixing layer height in Zhejiang[J]. Meteorological Science and Technology, 2017,45(4):735-744.
|
[36] |
王静,张文煜,刘焕彬,等.青岛市低空逆温特征与空气质量关系的初步探讨[Z]. 第二十八届中国气象学会年会, 2011. Wang J, Zhang W Y, Liu H B, et al. Research on the relationship between characteristics of low-altitude temperature inversion and air quality in Qingdao[Z]. The 28th Annual Meeting of China Meteorological Society, 2011.
|
[37] |
成莹菲,侯雪伟,朱彬,等.稳定天气形势下京津冀和长三角地区重度污染过程气象成因解析[J]. 环境科学学报, 2020,40(5):1575-1586. Cheng Y F, Hou X W, Zhu B, et al. The meteorological causes of a heavy pollution process in BTH and YRD area with stable weather condition[J]. Acta Scientiae Circumstantiae, 2020,40(5):1575-1586.
|
[38] |
沙丹丹,王红磊,朱彬,等.冬季PM2.5中含碳气溶胶的污染特征——长江三角洲地区一次区域重污染过程分析[J]. 中国环境科学, 2017,37(10):3611-3622. Sha D D, Wang H L, Zhu B, et al. Pollution characteristics of carbonaceous aerosols in PM2.5 during a regional heavy air pollution episode in winter in the Yangtze River Delta[J]. China Environmental Science, 2017,37(10):3611-3622.
|
[1] |
YIN Xiao-mei, LI Zi-ming, QIAO lin, LIU Xiang-xue, GUO Heng, WU Jin, ZHU Xiao-wan, QIU Yu-lu, WANG Ji-kang, ZHANG Xiao-ye. Effect analysis of meteorological conditions on air quality during the winter COVID-19 lockdown in Beijing[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(5): 1985-1994. |
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