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中国华东高海拔地区春夏季臭氧质量浓度变化特征及来源分析
引用本文:张天航,银燕,高晋徽,陈魁,肖辉,安俊琳,严家德,李爱华,陈建春.中国华东高海拔地区春夏季臭氧质量浓度变化特征及来源分析[J].南京气象学院学报,2013(6):683-698.
作者姓名:张天航  银燕  高晋徽  陈魁  肖辉  安俊琳  严家德  李爱华  陈建春
作者单位:[1]气象灾害教育部重点实验室(南京信息工程大学),江苏南京210044 [2]安徽省人工影响天气办公室,安徽合肥230031 [3]安徽省黄山市气象局,安徽黄山245021
基金项目:国家自然科学基金资助项目(41030962);江苏省“333人才工程”项目
摘    要:利用统计方法和数值模拟对2008年4月18日-7月28日和2009年5月19日-8月20日在黄山光明顶的两次外场观测中臭氧(O3)数据进行了分析,讨论了中国华东高海拔地区O3的质量浓度特征和来源。结果表明,5、6和7月的月平均质量浓度分别为107.73、101.93和68.02μg·m^-1,其中5月和6月的月平均质量浓度相对于国内其他本底站(除上甸子外)以及南极地区高出25~60Iμg·m^-1,7月与其他地区质量浓度相差较少。该地区的0,质量浓度相对于其他地区整体上维持在一个较高的水平,但高质量浓度超标事件发生的次数很少,只占总观测时间的3.9%。质量浓度EI最大值多出现在夜间21时一次日06时(北京时间,下同),呈多峰分布,并且变化幅度很小,在15—20μg·m^-1,通过利用WRF(Weather Research and Forecasting)模式模拟当地上空对流层顶高度和晴空湍流等要素的变化发现,O3质量浓度和对流层顶折叠现象有关。不同天气条件下,其质量浓度在晴天最高,雨天最低,雾天和阴天在二者之间。臭氧质量浓度与温度、相对湿度和其他污染气体(CO、N0和NO3)浓度之间有很强的负相关,而与风速相关性相对较弱;5月北面来风占主导,各风向所对应的O3质量浓度分布较均匀,而6月和7月西南风占主导,北面来向的风对应的质量浓度要高于南面来向。在利用KZ过滤器将O3原始数据分解成不同组份后,发现当地O3质量浓度整体上受低频组份(CBL组份)的控制,其余各高频组份(CSY、CDU和CID组份)只是会使其质量浓度在基准线附近波动。随后对发生在2009年5月28—31日和6月12—15日期间的两次0,质量浓度超标事件中CSY、CDU和CID对基线的贡献做了定量分析。

关 键 词:黄山光明顶  臭氧  平流层和对流层交换  KZ过滤器  位涡  晴空湍流

Characteristics and source analysis of 03 in spring and summer in high-altitude area of Eastern China
ZHANG Tian-hang,YIN Yan,GAO Jin-hui,CHEN KuiI,XIAO Hui,AN Jun-linI,YAN Jia-de,LI Ai-hua,CHEN Jian-chun.Characteristics and source analysis of 03 in spring and summer in high-altitude area of Eastern China[J].Journal of Nanjing Institute of Meteorology,2013(6):683-698.
Authors:ZHANG Tian-hang  YIN Yan  GAO Jin-hui  CHEN KuiI  XIAO Hui  AN Jun-linI  YAN Jia-de  LI Ai-hua  CHEN Jian-chun
Institution:3 (1. Key Laboratory of Meteorological Disaster( NUIST), Ministry of Education, Nanjing 210044, China; 2. Weather Modification Office of Anhui Province, Hefei 230031, China; 3. Huangshan Meteorological Bureau of Anhui Province, Huangshan 245021, China)
Abstract:In order to understand the characteristics and sources of ozone ( 03 ) at Guangmingding peak of Mt. Huang, a typical site of high-altitude area in Eastern China, the data of 03 concentration ( ob- served during April 18--July 28,2008 and May 19--August 20,2009) were analyzed by using a statis- tical method (Kolmogorov-Zurbenko filter) and numerical simulation( Weather Research and Forecasting Model) in this paper. The results showed that the value of monthly averaged 03 concentration of May,June and July were 107.73,101.93 and 68.02 μg·m^-3,respectively;the 03 concentration in May and June was 25--60 μg·m^-3, which was higher than other Base Stations in China (except Shangdianzi) and Antarctic. However, the 03 concentration in July was relatively close to that of other stations. The 03 concentration was relatively at a higher level than in other areas during this period, but over-standard concentration events occurred rarely, which only accounted for 3.9% of the observation time. The diurnal variation of 03 presented a multi-peak distribution, and the peak value of 03 appeared from 21:00 to 06:00 (Beijing Standard Time, the same below) with a tiny amplitude of 15--20 μg·m^-3 in a day. After simulating the variation of some parameters such as the height of tropopause and clear air turbulence over the area, the result showed that the concentration of 03 was relative with the fold of tropopause. The 03 concentration was the highest on sunny days, the lowest on rainy days and median on foggy and cloudy days. There was an obviously negative correlation between 03 and temperature, relative humid and other pollution gases ( CO, NO and NO2 ), while it had a relatively wea- ker correlation with the wind speed. The 03 distributed evenly during circle wind period in May (the wind direction was dominated by northwest in daytime and by south in nighttime). However, the 03 concentration was higher during north wind period than that in south wind period in June and July (the wind direction was dominated by southwest both in daytime and nighttime). The raw data of 03 were decomposed into different components by using the KZ filter. The results showed that the local 03 con- centration was mainly controlled by low frequency component ( CBL component), and the rest high fre- quency components ( Csv, CDU and CID components) only made it fluctuate around the baseline. Finally, the contribution of Csv, CDU and CID components to CBL component was quantitative analyzed during the two over-standard events that occurred during May 28--31,2009, and June 12--15,2009, respectively.
Keywords:Guangmingding peak of Mt  Huang  ozone  stratosphere-troposphere exchange  KZ filter  potential vorticity  clear air turbulence
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