2016年冬季寿县一次边界层低空急流对污染物扩散的影响

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Abstract Based on the observation data and simulation data in Shouxian area of Anhui Province from December 16 to 17, 2016, the effect of a nocturnal boundary layer low-level jet on PM_2.5 diffusion has been analyzed. In this process, the low-level jet has a wide distribution range and high intensity, the maximum wind speed can reach 10~12m/s, the wind direction difference between high and low layers can reach 90℃ during the development of the low-level jet. In the process of the low-level jet development, the jet axis is basically below 200m, and the minimum wind speed height of the low-level jet appears between 400~800m. The analysis shows that there are obvious differences in the impact of the low-level jet on pollutant diffusion at different heights. From ground to the low-level jet axis, PM_2.5 overall decrease. The emergence of the low-level jet flow significantly enhances the turbulent mixing. Under the action of turbulence, the pollutants are mixed upward, making the layer PM_2.5 significant reduction. The peak value of net mass flux can reach -103×10^-3μg/(m²·s).The horizontal transportation of the low-level jet stream can bring cleaner air mass upwind, and also reduce PM_2.5 concentration in this layer. However, compared with turbulence, its effect is small, and the net mass flux is only -2.9×10^-3μg/(m²·s). When the low-level jet exists, the downward vertical wind speed will be strengthened. Under the action of vertical transportation, the pollutants in the upper layer will be transported downward, increasing the PM_2.5 concentration in this layer, the net mass flux is about 11×10^-3μg/(m²·s). Between the low-level jet axis and wind direction transition height, PM_2.5 overall increase. This is because the turbulence transports high concentration pollutants in the low layer to this layer, making PM_2.5 concentration increase. The net mass flux is about 23.9×10^-3μg/(m²·s). Horizontal transportation makes this layer PM_2.5 concentration increased slightly, and the net mass flux was about 2.3×10^-3μg/(m2·s).The vertical transportation brings clean air mass at high altitude and reduces PM_2.5 concentration, the net mass flux is about -6.6×10^-3μg/(m²·s). Between wind direction transition height and LLJ minimum wind speed height, PM_2.5 overall increase. Turbulence is still dominant, and the net mass flux is about 17.8×10^-3μg/(m²·s).The vertical transport has a slight contribution, and the net mass flux is about 1.4×10^-3μg/(m²·s). The horizontal transport plays a reducing role, and the net mass flux is about -3.7×10^-3μg/(m²·s).

Key words： PM_2.5 diffusion low-level jet turbulence and advection jet characteristics height stratification

Received: 15 December 2021

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	JING Cui-wen
	WANG Cheng-gang
	FENG Yan

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JING Cui-wen,WANG Cheng-gang,FENG Yan. Influence of a boundary layer low-level jet on pollutant diffusion in Shouxian, Anhui Province in winter 2016[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(7): 3013-3022.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I7/3013

[1]	Sun Y, Song T, Tang G, et al. The vertical distribution of PM2.5 and boundary-layer structure during summer haze in Beijing[J]. Atmospheric Environment, 2013,74:413-421.
[2]	Kim D, Stockwell W R. An online coupled meteorological and air quality modeling study of the effect of complex terrain on the regional transport and transformation of air pollutants over the Western United States[J]. Atmospheric Environment, 2007,41(11):2319-2334.
[3]	Wang X, Dickinson R E, Su L, et al. PM2.5 pollution in China and how it has been exacerbated by terrain and meteorological conditions[J]. Bulletin of the American 53Meteorological Society, 2018,99(1):105-119.
[4]	蒋维楣,刘红年,张宁,等,空气污染气象学教程(第三版)[M].南京大学出版社, 2021. Jiang W M, Liu H N, Zhang N, et al. Air Pollution Meteorology (Third Edition)[M]. Nanjing University Press, 2021.
[5]	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.
[6]	Yang L, Wu Y, Davis J M, et al. Estimating the effects of meteorology on PM2.5 reduction during the 2008 Summer Olympic Games in Beijing, China[J]. Frontiers of Environmental Science&Engineering in China, 2011,5(3):331.
[7]	Chen Y, An J L, Sun Y L, et al. Nocturnal low-level winds and their impacts on particulate matter over the Beijing Area[J]. Advances in Atmospheric Sciences, 2018,35(12):1455-1468.
[8]	肖之盛,孟凡,徐峻,等.低空急流理论及其对空气污染物传输影响研究进展[J].环境工程技术学报, 2019,9(2):111-118. Xiao Z S, Meng F, Xu J, et al. Research advances in low-level jets theory and their impact on air pollutant transmission[J]. Journal of Environmental Engineering Technology, 2019,9(2):111-118.
[9]	Mcnider R T, Norris W B, Song A J, et al. Meteorological conditions during the 1995 Southern Oxidants Study Nashville/Middle Tennessee Field Intensive[J]. Journal of Geophysical Research:Biogeosciences, 1998,103(D17):22225-22243.
[10]	Taubman B F, Marufu L T, Piety C A, et al. Airborne characterization of the chemical, optical, and meteorological properties, and origins of a combined ozone-haze episode over the Eastern United States[J]. Atmos, 2004,61(14):1781-1793.
[11]	Sullivan J T, Rabenhorst S D, Dreessen J, et al. Lidar observations revealing transport of O3 in the presence of a nocturnal low-level jet:Regional implications for "next-day" pollution[J]. Atmospheric Environment, 2017,158:160-171.
[12]	Caputi D J, Faloona I, Trousdell J, et al. Residual layer ozone, mixing, and the nocturnal jet in California's San Joaquin Valley[J]. Atmospheric Chemistry and Physics, 2019,19(7):4721-4740.
[13]	Wei W, Zhang H S, Xu H, et al. Influence of Intermittent Turbulence on Air Pollution and Its Dispersion in Winter 2016/2017 over Beijing, China[J]. Journal of Meteorological Research, 2020,34(1):176-188.
[14]	Mireia U, Maria S, Miriam O, et al. Pollutant vertical mixing in the nocturnal boundary layer enhanced by density currents and low-level jets:two representative case studies[J]. Boundary-Layer Meteorology, 2020,174(2):203-230.
[15]	Fiedler S, S chepanski K, Heinold B, et al. Climatology of nocturnal low-level jets over North Africa and implications for modeling mineral dust emission[J]. Geophys Res Atmos, 2013,118(12):6100-6121.
[16]	Mathieu N, Strachan I B, Leclerc M Y, et al. Role of low-level jets and boundary-layer properties on the NBL budget technique[J]. Agricultural and Forest Meteorology, 2005,135(1):35-43.
[17]	廖晓农,孙兆彬,何娜,等.边界层低空急流导致北京PM2.5迅速下降及其形成机制的个例分析[J].环境科学, 2016,37(1):51-59. Liao X N, Sun Z B, He N, et al. A case study on the rapid cleaned away of PM2.5 pollution in Beijing related with BL Jet and its mechanism[J]. Environmental Science, 2016,37(1):51-59.
[18]	刘鸿波,何明洋,王斌,等.低空急流的研究进展与展望[J].气象学报, 2014,72(2):191-206. Liu H B, He M, Wang B, et al. Advances in low-level jet research and future prospects[J]. Acta Meteorologica Sinica, 2014,72(2):191-206.
[19]	黎倩,郑佳锋,朱克云,等.基于激光测风雷达的低空急流结构特征研究[J].激光技术, 2020,44(5):557-562. Li Q, Zheng J F, Zhu K Y, et al. Structural characteristics of low-level jet based on wind lidar[J]. Laser Technology, 2020,44(5):557-562.
[20]	Miao Y C, Liu S H, Sheng L, et al. Influence of boundary layer structure and low-level jet on PM2.5 pollution in Beijing:a case study[J]. International journal of environmental research and public health, 2019,16(4):616.
[21]	Miao Y C, Guo J P, Liu S H, et al. The climatology of low level jet in Beijing and Guangzhou, China[J]. Journal of Geophysical Research:Atmospheres, 2018,123:2816-2830.
[22]	黄乾,王海波.南京北郊污染物来源及跨区域输送过程研究[J].大气科学学报, 2019,42(4):531-541. Huang Q, Wang H B. Sources and transregional transport process of air pollutant in northern suburbs of Nanjing[J]. Trans Atmos Sci, 2019,42(4):531-541.
[23]	吴哲珺.长江流域低空急流天气过程的数值模拟与诊断分析[D].南京:南京信息工程大学, 2019. Wu Z J. Numerical simulation and diagnostic analysis of a Low-level jet weather process in the Yangtze River Basin[D]. Nanjing:Nanjing University of Information Science and Technology, 2019.
[24]	赛瀚,苗峻峰.中国地区低空急流研究进展[J].气象科技, 2012,40(5):766-771. Sai H, Miao J F. A review of Low-Level Jet research in China[J]. Meteorological Science and Technology, 2012,40(5):766-771.
[25]	Draxler R R, Hess G. Description of the HYSPLIT_4Modeling system of trajectories, dispersion, and deposition[J]. Australian Meteorological Magazine, 1998,47(4):295-308.
[26]	Rife D L, Pinto J O, Monaghan A J, et al. Global Distribution and Characteristics of Diurnally Varying Low-Level Jets[J]. Journal of Climate, 2010,23(19):5041-5064.
[27]	Blackadar A K. Boundary layer wind maxima and the resignificance for the growth of nocturnal inversions[J]. Bull Amer Metor Soc, 1957,38(5):283-290.
[28]	Andreas E L, Claffy K J, Makshtas A P. Low-level atmospheric jets and inversions over the Western Weddell Sea[J]. Boundary-Layer Meteorology, 2000,97(3):459-486.
[29]	Hu X M, Klein P M, Xue M, et al. Impact of the vertical mixing induced by low-level jets on boundary layer ozone concentration[J]. Atmospheric Environment, 2013,70(2):123-130.
[30]	Klein P M, Hu X M, Shapiro A, et al. Linkages between boundarylayer structure and the development of nocturnal low-level jets in central Oklahoma[J]. Boundary-Layer Meteorology, 2016,158(3):383-408.