SHAO Meng-qi,GAN Wei-jin,XIANG Wei-guo.Comprehensive Analysis of Meteorological Conditions inHeavy Pollution Process in Sichuan in Early 2017[J].Journal of Chengdu University of Information Technology,2018,(02):212-219.[doi:10.16836/j.cnki.jcuit.2018.02.017]
2017年初一次四川重污染过程气象条件综合分析
- Title:
- Comprehensive Analysis of Meteorological Conditions inHeavy Pollution Process in Sichuan in Early 2017
- 文章编号:
- 2096-1618(2018)02-0212-08
- Keywords:
- air pollution; meteorological elements; Sichuan basin; circulation situation; diffusion conditions
- 分类号:
- P458
- 文献标志码:
- A
- 摘要:
- 为了更好的了解并改善目前四川盆地地区的空气污染问题,对2016年12月29日至2017年1月9日的一次重污染天气过程进行了综合分析。利用国家环保部空气质量指数资料和常规气象观测资料,对此次污染过程的时间变化、环流形势、气象条件和大气边界层特征进行了分析。根据分析可知,此次重污染过程是多方面因素导致的,因此污染严重且持续时间长。结果表明:此次重污染过程中整个四川盆地都受到了影响,川西平原最重,川南次之; 盆地处于槽前西南气流控制,天气形势较差,偶尔有高原短波槽东移,但无低空系统配合,不利于污染物的扩散; 地面风速较小,累计降水量较少,没有起到清除作用; 逆温层高度低,混合层高度较低,污染期间下沉运动明显,大气层结较稳定,造成垂直方向上污染物无法扩散。
- Abstract:
- In order to better know and improve the current air pollution problems in the Sichuan basin, a heavy pollution weather process from December 29, 2016 to January 9, 2017 was comprehensively analyzed. Based on the air quality index data and conventional meteorological observation data of the Ministry of Environmental Protection, the temporal variation of pollution status, circulation situation, meteorological condition and atmospheric boundary layer characteristics were discussed. According to the analysis, the heavy pollution process is caused by many factors, so the pollution is serious and will last for a long time. The results showed that: the entire Sichuan Basin have been affected, the most serious polluted area was West Sichuan Plain, and the second most polluted area was southern Sichuan region. About circulation situation, the Sichuan Basin was under the control of the southwest of the airflow and the weather situation was not good. Occasionally the short-wave trough on the plateau moved eastward. But without coordination of low altitude system, it was detrimental to the diffusion of pollutants. During the heavy pollution process, the surface wind speed was small, and the total precipitation in the major cities of the basin was small. It did not play a scavenging role. The inversion layer was very low in the basin. The mixing layer was of lower height. During the pollution period, atmospheric subsidence movement was obvious. The atmosphere was stable, and the pollutants it caused did not spread in the vertical direction.
参考文献/References:
[1] Nemery B,Hoet P H,Nemmar A.The Meuse Valley fog of 1930:an air pollution disaster[J].Lancet,2001,357:704-708.
[2] Brienes M.Smog Comes to Los Angeles[J].Southern California Quarterly,1976,58(4):515-532.
[3] Bell M L,Davis D L.Reassessment of the lethal London fog of 1952:novel indicators of acute and chronic consequences of acute exposure to air pollution[J].Environmental Health Perspectives,2001,109(Suppl.3):389.
[4] 郭晓梅,陈娟,赵天良,等.1961—2010年四川盆地霾气候特征及其影响因子[J].气象与环境学报,2014(6):100-107.
[5] 刘应辰.青岛市区污染气体浓度变化及其与天气系统的关系[D].青岛:中国海洋大学,2006.
[6] 林娜.四川省大气污染物输送规律及大气污染联防联控技术研究[D].成都:西南交通大学,2015.
[7] 古阳.雾霾多发天气与局地气候的时空相关性分析[D].成都:电子科技大学,2015.
[8] 孟燕军,程丛兰.影响北京大气污染物变化的地面天气形势分析[J].气象,2002,28(4):42-47.
[9] 杨德保,王式功.兰州市区大气污染与气象条件的关系[J].兰州大学学报(自然科学版),1994,30(1):132-136.
[10] 李琼,李福娇.珠江三角洲地区天气类型与污染潜势及污染浓度的关系[J].热带气象学报,1999,15(4):363-369.
[11] 王成功,杨德保.兰州城市八种主要空气污染物浓度分布类型及其相互关系[J].兰州大学学报(自然科学版),1996,32(1):121-125.
[12] Mcgregor G R,Bmzelis D.Synoptic typing and its application to the investigation of weather air pollution relationships,Birmingham,United Kingdom[J].Theoretical & Applied Climatology,1995,51(4):223-236.
[13] 李国翠,连志鸾,郭卫红,等.石家庄市污染日特征及其天气背景分析[J].气象科技,2006,34(6):674-678.
[14] Kallos G,Kassomenos P,Pielke R A.Synoptic and mesoscale weather conditions during air pollution episodes in Athens,Greece[J].Boundary-Layer Meteorology,1993,62(1):163-184.
[15] Flocas H,Kelessis A,Helmis C,et al.Synoptic and local scale atmospheric circulation associated with air pollution episodes in an urban Mediterranean area[J].Theoretical & Applied Climatology,2009,95(3/4):265-277.
[16] 董文成.大气污染物在城市下垫面扩散的分析与模拟研究[D].兰州:兰州大学,2014.
[17] 邓利群,钱骏,廖瑞雪,等.2009年8-9月成都市颗粒物污染及其与气象条件的关系[J].中国环境科学,2012,32(8):1433-1438.
[18] Galindo N,Varea M,Gil-Moltó J,et al.The Influence of Meteorology on Particulate Matter Concentrations at an Urban Mediterranean Location[J].Water Air & Soil Pollution,2011,215(1):365-372.
[19] 周国兵.重庆市主城区气象条件对空气污染影响分析及数值模拟研究[D].兰州:兰州大学,2014.
[20] 龙柯吉,陈朝平,冯汉中,等.2012年成都市PM10污染与地面气象条件的相关性分析[J].成都信息工程学院学报,2014(S1):149-153.
[21] 周梅.一次区域性大雾天气过程的数值模拟研究[D].南京:南京信息工程大学,2008.
[22] 潘江萍,丁玄,王米吉,等.长沙一次重污染天气过程成因分析[J].湖南农业科学,2015(2):99-101.
[23] 郭立平,乔林,石茗化,等.河北廊坊市连续重污染天气的气象条件分析[J].干旱气象,2015,33(3):497-504.
[24] 徐驰,韩庆红,徐兴波.吉林市一次重污染天气过程分析[J].现代农业科技,2015(15):231-232.
[25] 金维明.降水量变化对大气污染物浓度影响分析[J].环境保护科学,2012,38(2):23-26.
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备注/Memo
收稿日期:2017-10-06基金项目:四川省环境保护科学研究院资助项目(2015H081)