Objective Synoptic Weather Classification on Air Pollution during Winter Seasons in Hangzhou

Authors

  • Jiaqi Zhao Nanjing University of Information Science and Technology/Key Laboratory for Aerosol-Cloud-Precipitation, China Meteorological Administration, Nanjing, 210044, China;Songyuan Meteorological Bureau, Songyuan, 138005, China
  • Chenggang Wang Nanjing University of Information Science and Technology/Key Laboratory for Aerosol-Cloud-Precipitation, China Meteorological Administration, Nanjing, 210044, China

DOI:

https://doi.org/10.30564/jasr.v4i3.3256

Abstract

Using the 2015-2018 Hangzhou city PM2.5, PM10, SO2, CO, NO2 and Omass concentration data, ERA5 reanalysis data and ground observation data, through the PCT classification method, the objective analysis of the winter air pollution weather situation in Hangzhou was obtained. The results showed that the winter air quality concentration in Hangzhou continued to be high from 2015 to 2018, and the air pollution was the most significant. Through objective classification, it is concluded that the main weather conditions affecting the region in winter are divided into 6 types, namely high pressure control, high pressure bottom control equalizing field, L-shaped high pressure control, high pressure front control equalizing field, low pressure control, low pressure front control Equalizing field. Among them, when high pressure control, high pressure bottom control equalizing field, L high pressure control, low pressure control are affected by local sources, the impact of external sources has a greater impact on the air quality in Hangzhou, and air pollution is prone to occur; before low pressure When the pressure equalization field is controlled by the Ministry and the pressure equalization field is controlled by the high pressure front, the local wind and precipitation in Hangzhou are relatively high, which is not conducive to the accumulation of air pollutants. The probability of occurrence of air pollution is small, and air pollution is not easy to occur.

Keywords:

PM2.5;PCT;Objective weather classification

References

[1] Ding A, Wang T, Xue L, et al. Transport of north China air pollution by mid-latitude cyclones: case study of aircraft measurements in summer 2007[J]. Geophys Res,2009,114, D08304.

[2] Ding A, Huang X, Fu C. Air pollution and weather interaction in East Asia[J]. In Oxford Reaserch Encyclopedias: Environmental Science,2017,1, 1-26.

[3] Otero N, Sillmann J, Schnell J, et al. Synoptic and meteorological drivers of extreme ozone concentrations over Europe. Environmental Research Letters, 2016, 11(2), 024005. https://doi.org/10.1088/1748-9326/11/2/024005

[4] Gao Y, Liu X, Zhao C, et al. Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games. Atmos. Chem. Phys. 2011,11, 12437-12451.

[5] Qu W, Arimoto R, Zhang X, et al. Spatial distribution and interannual variation of surface PM10 concentrations over eighty-six Chinese cities[J]. Atmos Chem Phys,2010, 10:5641-5662.

[6] Pleijel H, Grundström M, Karlsson G, et al. A method to assess the inter-annual weather-dependent variability in air pollution concentration and deposition based on weather typing[J]. Atmospheric Environment, 2016,126:200-210.

[7] Zhang Y, Ding A, Mao H, et al. Impact of synoptic weather patterns and inter-decadal climate variability on air quality in the North China Plain during 1980- 2013[J].Atmospheric Environment,2016,124:119-128.

[8] Wu Dui, Liao Guolian, Deng Xuejiao, 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.

[9] Zhang R H, Li Q, Zhang R N. Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013[J].Science China: Earth Sciences,2014,57(1):26-35.

[10] Meng Yanjun, Cheng Conglan. Impact of suface synoptic situations on air pollution in Beijing area [J]. Meteorology,2002,28(4):42-47.

[11] Zhou Ningfang, Li Feng, Rao Xiaoqin, et al. Study on haze weather in China during winter-time of 2006[J]. Meteorology,2008,34(6) :81-88.

[12] Zhang Guolian, Zhen Xinrong, Tan Jianguo, et al.The analysis of the relationship between the air quality in shanghai and surface pressure and meteorological factos [J].Journal of Tropical Meteorology,2010,26(1) :124-128.

[13] Dai Zhujun, Liu Duanyang, Wang Hongbin, et al. The classification study of the heavy haze during autumn and winter of Jiangsu[J].Acta Meteorologica Sinica,2016,74(1) :133-148.

[14] Ngan F, Byun D. Classification of weather patterns and associated trajectories of high-ozone episodes in the Houston-Galveston-Brazoria area during the 2005/06 TexAQS-II[J]. Appl Meteorol Climatol,2011,50:485-499.

[15] Zhang J, Zhu T, Zhang Q H, et al. The impact of circulation patterns on regional transport pathways and air quality over Beijing and its surrounding[J]. Atmospheric Chemistry& Physics&Discussions,2012,11(12):33465-33509.

[16] Hsu C, Cheng F. Synoptic Weather Patterns and Associated Air Pollution in Taiwan[J]. Aerosol and Air Quality Research,2019,19:1139-115.

[17] Xu J M, Chang L Y, Ma J H, et al. Objective synoptic weather classification on PM2.5 pollution during autumn and winter seasons in Shanghai[J]. Acta Scientiae Circumstantiae,2016, 36(12) :4303-4314.

[18] Zhang Y, Wang S G, Jia X W, et al. Study on an objective synoptic typing method for air pollution weather in North China during winter half year[J]. Acta Scientiae Circumstantiae,2018, 38(10):3826-3833.

[19] Compagnucci R, Richman M. Can principal component analysis provide atmospheric circulation or teleconnection patterns[J]. International Journal of Climatology, 2008, 28: 703-726.

[20] Hsu C, Cheng F. Synoptic Weather Patterns and Associated Air Pollution in Taiwan[J]. Aerosol and Air Quality Research,2019,19: 1139-115.

[21] Huth R, Beck C, Philipp A, Demuzere M, Ustrnul Z, Cahynová M, et al. Classifications of atmospheric circulation patterns[J].Annals of the New York Academy of Sciences, 2008,1146(1), 105-152.

[22] Objective Analysis on Large-scale Circulation Type and Its Links to Precipitation over China[J].Advances in Earth Science,2018,33(4):396-403.(in Chinese)

[23] Yang Xu, Zhang Xiaoling, Kang Yanzhen, et al. Circulation weather type classification for air pollution over the Beijing-Tianjin-Hebei region during winter[J].China Environmental Science, 2017,37(9):3021-3209.

[24] Gao Y, Liu X, Zhao C, Zhang M. Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games [J]. Atmos. Chem. Phys.,2011,11:12437- 12451.

[25] Zhang Y, Ding A, Mao H, Nie W, Zhou D, Liu L, et al. Impact of synoptic weather patterns and inter-decadal climate variability on air quality in the North China Plain during 1980-2013[J].Atmospheric Environment,2016,124:119-128.

[26] Zhang Q, Streets D G, He K, et al. NOx emission trends for China, 1995-2004: The view from the ground and the view from space[J]. Journal of Geophysical Research:Atmospheres, 2007, 112(LF2).

[27] Ashrafi K, Shafie M, Kamalan H. Estimating temporal and seasonal variation of ventilation coefficients[J]. International Journal of Environmental Research, 2010,3( 4):637-644.

[28] Lei Y, Zhang Q, He K, et al. Primary anthropogenic aerosol emission trends for China,1990-2005[J]. Atmospheric Chemistry Physics, 2011,11(3): 931-954

[29] Ambient air quality standards[S].China: GB 3095- 2012

Downloads

How to Cite

Zhao, J., & Wang, C. (2021). Objective Synoptic Weather Classification on Air Pollution during Winter Seasons in Hangzhou. Journal of Atmospheric Science Research, 4(3), 1–13. https://doi.org/10.30564/jasr.v4i3.3256

Issue

Article Type

Article