WEI Tian,DING Heng.Cause Analysis of a Persistent Heavy Pollution Weather in Linfen Area[J].Journal of Chengdu University of Information Technology,2023,38(04):484-491.[doi:10.16836/j.cnki.jcuit.2023.04.017]
临汾地区持续性重污染天气过程成因分析
- Title:
- Cause Analysis of a Persistent Heavy Pollution Weather in Linfen Area
- 文章编号:
- 2096-1618(2023)04-0484-08
- 分类号:
- X51
- 文献标志码:
- A
- 摘要:
- 利用常规气象资料、NECP再分析资料以及临汾市环境监测中心站的污染物浓度资料, 对2019年1月2-14日临汾市区一次持续性重污染天气过程特征及气象成因进行分析, 并运用HYSPLIT-4后向轨迹模式结合污染物排放清单数据, 分析污染过程中的气流输送情况。结果表明:(1)此次持续性重污染天气过程范围广、持续时间长、污染高、强度大, 临汾空气污染指数AQI峰值达434, PM2.5/ PM10值维持在80%左右, 细粒子污染明显;(2)重污染期间, 高空环流平直, 多短波活动; 中低层风速小, 多弱辐合出现; 地面场上高压底前部弱气压场控制, 环流形势为重污染天气的发展维持提供有利气象条件;(3)重污染期间市逆温层层数多且逆温深厚, 逆温层厚度与逆温层数成反比, 有两层逆温且第一层厚度较厚的层结最不利于空气污染物扩散清除;(4)物理量场上, 高层风速减小、中层风场辐合、850 hPa以下以南风为主的小风天气及水汽场上一定范围内的较大湿度有利于颗粒物的累积和吸湿增长; 交替出现的正负弱涡度平流随高度的增加或减小所引起的弱垂直运动对污染物的扩散清除不利, 其中一定强度的正涡度平流随高度增加引起的上升运动会加剧污染物的水平和垂直输送, 使污染严重且层次深厚;(5)污染期间, 临汾主要受两条不同的偏西北路、偏西、偏东路4种输送气流的影响; 其中, 西北路出现频率最大, 西路所携带的SO2多。
- Abstract:
- Based on conventional meteorological data, NECP reanalysis data, and pollutant concentration data from Linfen Environmental Protection Bureau, this paper analyzes the weather characteristics and meteorological causes of a persistent heavy pollution that took place in Linfen from January 2 to 14, 2019. Combined with pollutant discharge inventory data, HYSPLIT4 backward trajectory model was used to analyze the air transport. The results are as follows:(1)This pollution weather is characterized by wide range, long duration and high pollution intensity. The peak value of Linfen’s air pollution index AQI reached 434. The ratio of PM2.5/ PM10 remains around 80%, so it’s clearly fine particulates contamination.(2)During the period of continuous pollution weather, the upper circulation is straight and shortwave activity is frequent; the wind speed in the middle and lower layers is small, and there are many weak convergence. On the sea level pressure field, Linfen is in the weak pressure field that at the bottom of the high pressurewhich provides favourable meteorological conditions for the development and maintenance of heavy pollution weather.(3)During the period of pollution, the thickness of the inversion layer is inversely proportional to the number of layers. The stratification with two inversion layers and thicker thickness of the first layer is the most unfavorable to the diffusion and removal of air pollutants.(4)Physically, the following conditions are conducive to the accumulation of particulate matter and the increase of moisture absorption: decrease of wind speed in the upper layer, convergence of mid-level wind, light windy weather dominated by the south wind in low level, high humidity in a certain range, weak vertical motion and so on.The upward movement caused by positive vorticity advection of a certain intensity with the increase of height could intensify the horizontal and vertical transport of pollutants, resulting in serious and deep pollution levels.(5)During the period of pollution, Linfen is mainly affected by four kinds of conveying air flow, they are two different northwest roads, west road and east road; Among them, the northwest road appeared the most frequently, and the west road carried more SO2.
参考文献/References:
[1] 王敏, 黄滢.中国环境污染与经济增长[J].经济学, 2015, 14(2):557-578.
[2] 肖悦, 田永中, 许文轩, 等.中国城市大气污染特征及社会经济影响分析[J].生态环境学报, 2018, 27(3):518-526.
[3] 任阵海, 苏福庆, 高庆先, 等.边界层内大气排放物形成重污染背景解析[J].大气科学, 2005, 29(1):57-63.
[4] 唐宜西、张小玲、熊亚军, 等.北京一次持续霾天气过程气象特征分析[J].气象与环境学报.2013, 29(5):12-19.
[5] 张人禾, 李强, 张若楠.2013年1月中国东部持续性强雾霾天气产生的气象条件分析[J].中国科学:地球科学, 2014(1); 27-36.
[6] 蔡新玲, 王繁强, 姜创业, 等.西安城市PM10污染特征及持续重污染过程分析[J].气象科技, 2008, 36(6):697-700.
[7] 苏彬彬, 许椐洋, 张若宇, 等.区域传输对华东森林及高山背景点位大气污染物浓度的影响[J].环境科学, 2014, 35(8):2871-2877.
[8] Bagtasa G, Cayetano M G, Chung-Shin Yuan, et al.Long-range transport of aerosols from East and Southeast Asia to northern Philippines and its direct radiative forcing effect[J].Atmosphere Environment, 2019, 218:117.
[9] 王郭臣, 王珏, 信玉洁, 等.天津PM10和NO2输送路径及潜在源区研究[J].中国环境科学, 2014, 34(12):3009-3016.
[10] 王郭臣, 王东启, 陈振楼.北京冬季严重污染过程的PM2.5污染特征和输送路径及潜在源区[J].中国环境科学, 2016, 36(7):1931-1937.
[11] Draxler R R, Hess G D.An overview of the HYSPLIT-4 modeling system for trajectories[J].Australian Meteorological Magazine, 1998, 47(4):295-308.
[12] Draxler R R, Stunder B, Rolph G, et al.HYSPLIT4 users guide[EB/OL].Maryland:Silver Spring, 2018-05-23.
[13] Draxler R R, Hess G D.Description of the HYSPLIT-4 modeling system[EB/OL].Maryland:SilverSpring, 2018-05-23.
[14] Borger, Lumbreras J, Vardoulakis S, et al.Analysis of long-range transport influences on urban PM using two-stage atmospheric trajectory clusters[J].Atmospheric Environment, 2007, 41(21):4434-4450.
[15] 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.
相似文献/References:
[1]潘文琪,肖国杰,孟林夕,等.杭州市臭氧污染特征及其气象成因分析[J].成都信息工程大学学报,2019,(06):664.[doi:10.16836/j.cnki.jcuit.2019.06.016]
PAN Wenqi,XIAO Guojie,MENG Linxi,et al.Characteristics of Ozone Pollution and Analysis of Meteorological Causes in Hangzhou City[J].Journal of Chengdu University of Information Technology,2019,(04):664.[doi:10.16836/j.cnki.jcuit.2019.06.016]
[2]阮虞清,李林岑,黄梓芸,等.夏季川渝地区臭氧污染的气象成因研究[J].成都信息工程大学学报,2021,36(04):425.[doi:10.16836/j.cnki.jcuit.2021.04.012]
RUAN Yuqing,LI Lincen,HUANG Ziyun,et al.Meteorological Causes of Ozone Pollution in Sichuan and Chongqing in Summer[J].Journal of Chengdu University of Information Technology,2021,36(04):425.[doi:10.16836/j.cnki.jcuit.2021.04.012]
备注/Memo
收稿日期:2022-06-09
基金项目:山西省气象局面上课题资助项目(SXKMSDW20217135)