京津冀地区冬半年空气污染天气分型研究

发布时间：2018-05-05 21:08

本文选题：天气分型 + 空气污染　；参考：《中国环境科学》2017年09期

【摘要】：利用ERA-Interim再分析资料,采用PCT方法,对2013~2015年冬半年京津冀地区海平面气压场进行了客观分型;利用同期空气污染资料和常规气象观测资料,分析了不同天气类型下京津冀地区空气污染和气象要素特征,并选取典型重污染月份,分析了京津冀地区重污染天气过程特征及形成原因.结果表明,京津冀地区天气形势可分为9种类型,包括高压前部和高压南部等不易污染天气类型,以及高压场、高压后部、鞍型场和冷锋前部等污染天气类型;污染天气类型多表现为高湿小风,稳定能量大,最大混合层厚度低,不利于污染物扩散,各城市AQI均值多在150以上;2014年2月两次重污染过程均发生在连续多日维持高压场等污染天气型的情况下;污染过程期间高压系统演变引起北部偏北风增大,抑制了北部城市空气污染持续加重的趋势,而偏南风输送使得北部城市污染物浓度迅速升高.
[Abstract]:Using ERA-Interim reanalysis data and PCT method, the sea level pressure field in Beijing-Tianjin-Hebei region during the winter of 2013 ~ 2015 was classified objectively, and the air pollution data and conventional meteorological observation data were used. This paper analyzes the characteristics of air pollution and meteorological elements in Beijing-Tianjin-Hebei area under different weather types, and analyzes the process characteristics and formation reasons of heavy pollution weather in Beijing-Tianjin-Hebei region by selecting typical heavy pollution months. The results show that the weather situation in Beijing-Tianjin-Hebei region can be divided into 9 types, including the high-pressure front and the southern high-pressure, and the polluted weather types such as the high-pressure field, the back part of the high-pressure field, the saddle field and the front part of the cold front. Most of the polluted weather types are characterized by high humidity and small wind, large stable energy and low maximum mixing layer thickness, which is not conducive to pollutant diffusion. The average value of AQI in each city is more than 150; in February 2014, two heavy pollution processes occurred under the condition of maintaining the polluted weather pattern such as high pressure field for several consecutive days. During the process of pollution, the evolution of high pressure system caused the north wind to increase. The increasing trend of air pollution in northern cities is restrained, and the concentration of pollutants in northern cities is increased rapidly by southward wind transport.
【作者单位】：兰州大学大气科学学院甘肃省干旱气候变化与减灾重点实验室;成都信息工程大学大气科学学院高原大气与环境四川省重点实验室;中国气象局北京城市气象研究所;京津冀环境气象预报预警中心;
【基金】：国家科技支撑计划课题(2014BAC23B01) 国家重点研发计划课题(2016YFA0602004) 北京市科技计划项目(Z141100001014013)
【分类号】：X51

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