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气象:2020,46(9):1222-1234
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基于自组织神经网络算法的重庆秋冬季空气污染与天气分型的关系
胡春梅,陈道劲,周国兵,邹倩
(重庆市气象台,重庆 401147)
Relationship Between Air Pollution Events in Autumn and Winter in Chongqing and the Classification of Synoptic Situation Based on Self-Organizing Maps
HU Chunmei,CHEN Daojin,ZHOU Guobing,ZOU Qian
(Chongqing Meteorological Observatory, Chongqing 401147)
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投稿时间:2019-04-25    修订日期:2019-10-12
中文摘要: 为了了解重庆秋冬季节空气污染天气的环流特征,利用NCEP再分析资料对污染天气过程地面气压场应用自组织神经网络算法(SOM)进行天气分型,并经过主观对比分析,总结出3类典型天气型:均压型、低压型、高压底部型;其中均压型分为2小类:两冷锋间的均压场、弱高压区的均压场;高压底部型按冷高压中心位置分为3小类:北方高压型、西北高压型、东北高压型。比较分析发现高压底部型大气污染物浓度最高,空气污染最为严重。应用常规观测资料和L波段探空资料分析发现:各类污染天气型表现为地面静风频率高,近地层水平风速小;逆温出现概率高,大气层结稳定,大气边界层高度低等特点。从大尺度环流背景、动力、热力气象条件及后向轨迹模拟分析了3类典型污染天气过程形成原因,为重庆地区空气污染潜势预报及浓度预报提供参考依据。
Abstract:In order to understand the circulation characteristics of air pollution events in autumn and winter in Chongqing, this paper uses NCEP reanalysis data to classify the surface sea level pressure fields of air pollution events by using the self-organizing map (SOM) algorithm. Then by means of subjective comparative analysis, three types of typical surface pressure fields are summarized: uniform pressure pattern, low pressure pattern and the bottom pattern of high pressure. Among them, the uniform pressure pattern is divided into two types: one is the uniform pressure pattern between two cold fronts and the other is in the weak high pressure. The bottom pattern of high pressure can be divided into three types according to the center position of cold high pressure, including north high pressure type, northwest high pressure type and northeast high pressure type. By comparative analysis, it is found that the concentration of air pollutants on the bottom pattern of high pressure is the highest, thus the air pollution is the most serious. The analysis by using conventional observation data and L-band radiosonde data shows that all kinds of pollution weather patterns are characterized by high static wind frequency on the surface, low horizontal wind speed near the surface, high probability of inversion, stable atmospheric stratification and low height of atmospheric boundary layer. Based on the large-scale synoptic circulation, dynamic and thermal conditions and backward trajectory simulation, the causes for the three types of typical pollution weather processes are investigated, and the results would provide a reference for air pollution potential forecast and concentration prediction in Chongqing.
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基金项目:气象关键技术集成与应用项目(CMAGJ2014M51)和国家自然科学基金重大研究计划重点支持项目(91644226)共同资助
引用文本:
胡春梅,陈道劲,周国兵,邹倩,2020.基于自组织神经网络算法的重庆秋冬季空气污染与天气分型的关系[J].气象,46(9):1222-1234.
HU Chunmei,CHEN Daojin,ZHOU Guobing,ZOU Qian,2020.Relationship Between Air Pollution Events in Autumn and Winter in Chongqing and the Classification of Synoptic Situation Based on Self-Organizing Maps[J].Meteor Mon,46(9):1222-1234.