ZHANG Yan,XIAO Guojie,LIU Yi,et al.Characteristics of Low-altitude Atmospheric Inversion and Its Influence on Air Pollutant Concentration in Urumqi[J].Journal of Chengdu University of Information Technology,2023,38(02):208-213.[doi:10.16836/j.cnki.jcuit.2023.02.012]
乌鲁木齐低空大气逆温特征及其对空气污染物浓度的影响
- Title:
- Characteristics of Low-altitude Atmospheric Inversion and Its Influence on Air Pollutant Concentration in Urumqi
- 文章编号:
- 2096-1618(2023)02-0208-06
- Keywords:
- applied meteorology; pollution meteorology; Urumqi; ground inversion; from the ground inversion; pollutant concentration
- 分类号:
- P467
- 文献标志码:
- A
- 摘要:
- 为研究乌鲁木齐低空逆温特征及其对污染物浓度的影响,利用2014-2019年乌鲁木齐逐日探空资料以及该地同期污染物浓度数据,将低空第一层逆温按照类型不同分为接地逆温与离地逆温,重点分析海拔高度在2500 m以下第一层逆温随时间的变化特征,并将相关逆温参量与几种主要污染物浓度进行统计分析。结果表明:乌鲁木齐在08时容易出现接地逆温,在20时容易出现离地逆温; 接地逆温与离地逆温二者的厚度均表现为冬季厚、夏季薄; 接地逆温早间强度大,频率高,夜间反之,离地逆温强度月际变化大,频率主要呈冬季高夏季低的特征。逆温顶高与厚度同各污染物浓度大致呈显著正相关; 除20时接地逆温强度外,O3浓度同各逆温参量大致呈显著负相关。
- Abstract:
- In order to study the characteristics of low-level temperature inversion in Urumqi and its impact on pollutant concentration,using the daily sounding data of Urumqi from 2014 to 2019 and the pollutant concentration data of the same period in Urumqi,the first low-level inversion is divided into ground inversion and off ground inversion according to different types,focusing on the variation characteristics of the first level inversion with time when the altitude of Urumqi isbelow 2500 m.The relevant inversion parameters and the concentrations of several main pollutants were statisticallyanalyzed.The results show that Urumqi is more prone to ground inversion at 8 a.m.and off ground inversion at 20 p.m.; The thickness of ground inversion and off ground inversion is thick in winter and thin in summer; The intensity of ground temperature inversion is high in the morning and the frequency is high.On the contrary, at night,the intensity of ground temperature inversion varies greatly from month to month, and the frequency is mainly high in winter and low in summer.There is a significant positive correlation between the height and thickness of inversion top and the concentration of pollutants; In addition to the grounding inversion intensity at 20 p.m.,the O3 concentration has a significant negative correlation with each inversion parameter.
参考文献/References:
[1] 谈建国,陆国良,耿福海,等.上海夏季近地面臭氧浓度及其相关气象因子的分析和预报[J].热带气象学报,2007(5):515-520.
[2] 姚青,刘敬乐,蔡子颖,等.天津大气稳定度和逆温特征对PM_(2.5)污染的影响[J].中国环境科学,2018,38(8):2865-2872.
[3] Dupont E,Menut L,Carissmo J,et al.Comparison between the atmospheric boundary layer in Paris and its rural suburbs during the ECLAP experiment[J].Atm.Environment.1999,33:979-994.
[4] 杨家康,单韬,张万诚.云南低纬高原地区大气污染与逆温强度关系研究[J].灾害学,2021,36(4):27-30.
[5] 杜荣光,齐冰,郭惠惠,等.杭州市大气逆温特征及对空气污染物浓度的影响[J].气象与环境学报,2011,27(4):49-53.
[6] 周益平,杨云芸,何炜炜,等.衡阳冬季空气重污染过程特征及气象条件分析[J].防灾科技学院学报,2018,20(4):40-51.
[7] 张强.地形和逆温层对兰州市污染物输送的影响[J].中国环境科学,2001,21(3):39-43.
[8] 刘宁,张飞云,范圣虎.乌鲁木齐市“十三五”期间环境空气质量变化及污染原因分析[J].新疆环境保护,2021,43(3):17-25.
[9] 姚作新,吕鸣,贺晓东.2008/2009乌鲁木齐近地空间逆温层特征分析[J].沙漠与绿洲气象,2011,5(3):29-32.
[10] 刁平,刁晓芸,冯丽晔.乌鲁木齐市夏季逆温等气象对空气质量的影响[J].新疆农垦科技,2020,43(8):36-37.
[11] 赵克明,李娜,李霞,等.乌鲁木齐冬季焚风天气过程大气扩散条件特征分析[J/OL].干旱区地理:https://kns.cnki.net/kcms/detail/65.1103.X.20210812.1718.010.html,2021.
[12] 林巧美,陈裕强,陈璟,等.揭阳市空气污染特征及气象条件分析[J].气象研究与应用,2018,39(3):76-79.
[13] 任桂萍,柯伟,王婷婷,等.酒泉市大气边界层逆温特征及其与沙尘天气的关系[J].沙漠与绿洲气象,2021,15(5):101-108.
[14] 谷忠义,张月婷.乌鲁木齐市园林植物资源调查与观赏属性分析[J].现代园艺,2021,44(19):31-32.
[15] 徐琼芳,岳阳,万立国,等.潜江市空气污染状况及其与气象条件的关系[J].环境科学与技术,2017,40(S1):274-277.
[16] 秦泉.冬季乌鲁木齐逆温时空变化特征及其大气环境效应[D].南京:南京信息工程大学,2015.
[17] 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,2018,33(2):220-226.
[18] 吴战平,白慧,陈早阳,等.贵阳市两次空气污染过程的气象条件分析[J].干旱气象,2019,37(5):827-835.
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备注/Memo
收稿日期:2022-03-24
基金项目:四川省科技厅资助项目(2019YJ0360)
通信作者:肖国杰.E-mail:xiaogj@cuit.edu.cn