LI Simeng,LIN Shiying,CHEN Nanxi,et al.Research of the Influence of Inversion Layer on Haze over Chengdu[J].Journal of Chengdu University of Information Technology,2020,35(01):79-86.[doi:10.16836/j.cnki.jcuit.2020.01.011]
逆温层对成都地区雾霾影响的研究
- Title:
- Research of the Influence of Inversion Layer on Haze over Chengdu
- 文章编号:
- 2096-1618(2020)01-0079-08
- Keywords:
- atmospheric physics; meteorology and pollution; Chengdu; winter and spring; temperature inversion
- 分类号:
- P423.6
- 文献标志码:
- A
- 摘要:
- 为探究成都地区逆温对空气污染的影响,选取2014年12月-2018年5月冬春季成都温江站探空、地面风速、相对湿度和成都市空气质量指数、PM2.5浓度等数据,利用统计分析等方法,同时分析了2017年12月16日08时-2018年1月2日20时的持续逆温过程。结果表明:(1)成都冬春季出现污染的频率约达42%,PM2.5浓度超标约占40.28%,冬季雾霾更严重,由冬到春浓度逐渐下降。(2)逆温主要出现在冬季,逆温出现频率分别为19.5%,18.5%和18.5%。(3)逆温层数增加,雾霾加重,无逆温时PM2.5平均浓度为108 μg/m3; 层数为1、2时,PM2.5平均浓度为119 μg/m3、127 μg/m3。(4)贴地逆温出现频率最高,底高主要在540~560 gpm,厚度在0~100 gpm的约占47%; 当逆温持续13个时次以上,污染出现频率超过80%。为成都空气污染治理提供理论依据。
- Abstract:
- To probe the influence of temperature inversion on air pollutionin Chengdu region,this paper applies statistical analysis to analyze the sounding data, surface wind speed, relative humidity, air quality index and PM2.5 from December 2014 to May 2018 in winter and spring of Chengdu. In addition, a process of the continuous thermal inversion from 8:00 on December 16, 2017 to 20:00 on January 2, 2018 was analyzed.The results show that:(1)The frequency of pollution is about 42% in winter and spring over Chengdu,and the days with excessive PM2.5 concentration account for about 40.28%.It has a decreased trend from winter to spring, while the haze is more serious during winter.(2)The frequency of inversion occurrence shows 19.5%,18.5% and 18.5% for winter months.(3)As the number of inversion increases, the haze gradually increases.The average concentration of PM2.5 is 108 μg/m3 when there is no inversion.When the number of the inversion is 1 and 2,the average concentration of PM2.5 is 119 μg/m3,127 μg/m3, respectively.(4)Frequency of the near-surface inversion occurrence is the high estits base heights are mainly 540~560 gpm and the amount of the inversion thicknesses which are 0~100 gpm are about 47%,When the process of the temperature inversion lasts more than 13 time level,thefrequency of air pollution occurrence can be more than 80%.This paper can provide theoretical basis for air pollution control in Chengdu.
参考文献/References:
[1] 杨康权,龙柯吉,肖递祥.成都地区一次持续性污染过程天气特征分析[J].高原山地气象研究,2016,36(4):75-78.
[2] 赵红,赵欣颖.雾霾中有机微生物凝聚粒子群对光传播的影响[J].科技资讯,2018,16(36):112-114.
[3] GB 3095-1996, 环境空气质量标准[S].
[4] 朱为宁. 面板数据模型的加权分块经验似然推断[D].杭州:浙江财经大学,2019.
[5] Jaffe D,MckendryI,AndersonT,et al. Six ‘new’episodes of trans-Pacific transport of air pollutants [J]. Atmospheric Environment,2003,37(3):391-404.
[6] Dockery D W,Pope C A,Xu X. An association betweenair pollution and mortality in six US cities [J]. NewEngland Journal of Medicine,1993,329: 1753-1759.
[7] 王玮,汤大钢,刘红杰,等.中国 PM2.5污染状况和污染特征的研究[J].环境科学研究,2000(1):1-5.
[8] 陈源,谢绍东,罗彬.成都市大气细颗粒物组成和污染特征分析(2012-2013年)[J].环境科学学报,2016,36(3):1021-1031.
[9] 邱海涛,徐桂梅.呼和浩特市低空逆温特征分析[J].内蒙古气象,2003(3):25-26.
[10] 周书华,倪长健,刘培川.成都地区大气边界层逆温特征分析[J].气象与环境学报,2015,31(2):108-111.
[11] 肖同玉,任红玉,张兴文.哈尔滨冬季逆温规律分析及预报[J].`东北农业大学学报,2001(2):139-145.
[12] 姚源山,姚维,唐化义.贵阳市逆温特征分析[J].贵州气象,2013,37(5):27-30.
[13] Wu,D.Hazy Weather Research in China in the Last Decade: A Review[J].Acta Scientiae Circumstantiae,2012,32:257-269.
[14] Cogliani, E.Air Pollution Forecast in Cities by an Air Pollution Index Highly Correlated with Meteorological Variables[J].Atmospheric Environment,2001,35:2871-2877.
[15] 张智胜,陶俊,谢绍东,等.成都城区PM_(2.5)季节污染特征及来源解析[J].环境科学学报,2013,33(11):2947-2952.
[16] AQI指数和PM2.5浓度相关数据来源[DB/OL]. http://beijingair.sinaapp.com/.
[17] 黄巍,龙恩深.成都PM_(2.5)与气象条件的关系及城市空间形态的影响[J].中国环境监测,2014,30(4):93-99.
相似文献/References:
[1]谭 天,肖 辉,孙 跃,等.北京地区雷暴云微物理结构数值模拟
及其与双偏振雷达观测对比[J].成都信息工程大学学报,2017,(04):409.[doi:10.16836/j.cnki.jcuit.2017.04.011]
TAN Tian,XIAO Hui,SUN Yue,et al.Numerical Simulation of Microphysical Structures of a Severe Thunderstorm
in Beijing and their Comparisons with Polarimetric Radar Observations[J].Journal of Chengdu University of Information Technology,2017,(01):409.[doi:10.16836/j.cnki.jcuit.2017.04.011]
[2]于建宇,李茂善,阴蜀城,等.青藏高原那曲地区云降水微观特征雨滴谱分析[J].成都信息工程大学学报,2020,35(02):188.[doi:10.16836/j.cnki.jcuit.2020.02.010]
YU Jianyu,LI Maoshan,YIN Shucheng,et al.Analysis of Cloud Precipitation Microscopic Characteristic Raindrop Spectrum in Nagqu Area of Qinghai-Tibet Plateau[J].Journal of Chengdu University of Information Technology,2020,35(01):188.[doi:10.16836/j.cnki.jcuit.2020.02.010]
[3]曾 剑,张 强,张 宇,等.青藏高原高寒草甸的空气动力学粗糙度特征[J].成都信息工程大学学报,2022,37(04):429.[doi:10.16836/j.cnki.jcuit.2022.04.011]
ZENG Jian,ZHANG Qiang,ZHANG Yu,et al.The Characteristics of Aerodynamic Aoughness Length of Alpine Meadows on the Qinghai-Tibet Plateau[J].Journal of Chengdu University of Information Technology,2022,37(01):429.[doi:10.16836/j.cnki.jcuit.2022.04.011]
[4]李培荣,向卫国.四川盆地逆温层特征对空气污染的影响[J].成都信息工程大学学报,2018,(02):220.[doi:10.16836/j.cnki.jcuit.2018.02.018]
LI Pei-rong,XIANG Wei-guo.Influence of Inversion Layer Characteristics in Sichuan Basin on Air Pollution[J].Journal of Chengdu University of Information Technology,2018,(01):220.[doi:10.16836/j.cnki.jcuit.2018.02.018]
备注/Memo
收稿日期:2019-06-19基金项目:国家自然科学基金资助项目(41875169); 国家重点研发计划资助项目(2018YFC1505702); 贵州省科技计划资助项目(黔科合支撑[2019]2387号); 四川省教育厅资助项目(16CZ0021)