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四川盆地大气混合层高度变化特征及其与PM2.5浓度之间关系

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利用四川盆地2016-2018年的探空资料,估算了 3个代表地区(成都、宜宾、达州)最大混合层高度(MMH),运用ERA-interim再分析资料的边界层高度(ERA-PBLH)验证MMH计算结果的可靠性,分析了 MMH的概率分布、季节变化特征,并结合同期PM2.5日均浓度资料及地面气象观测资料,探讨了 MMH和其他气象因子与PM2.5日均浓度之间的关系.结果表明,四川盆地MMH整体偏低.在季节分布上,成都和宜宾MMH春季的最高,秋季的最低,达州夏季的最高,冬季的最低,这种地区性差异的主要原因来自感热通量及水汽条件的季节变化.总体上PM2.5日均浓度随MMH的升高而逐渐减小.重污染天气多发生在MMH较低、相对湿度较大的情况下,较低的抬升凝结高度限制了混合层的增高,并且气溶胶吸湿增长作用明显,污染物容易聚集.盆地PM2.5浓度的高值主要集中在风速为1.0 m/s左右,盆地内空气流入对当地污染物浓度有明显的增长作用.
Characteristics of Atmospheric Mixing Layer Height and Its Relationship with PM2.5 Concentration in Sichuan Basin
The maximum mixed height(MMH)of three representative stations(Chengdu,Yibin,and Dazhou)in Sichuan Basin is estimated using the sounding data from 2016 to 2018.ERA-interim re-analysis data of boundary layer height(ERA-PBLH)is used to evaluate the reliability of MMH.The probability distribution,seasonal variation characteristics of MMH analyzed.Based on the PM2.5 average concentration data and surface meteorological observation data,the relationship between MMH,as well as other meteorological factors and PM2.5 daily average concentration is analyzed.The results show that the MMH in Sichuan Basin is generally low.In seasonal distribution,the MMH is the highest in spring and lowest in autumn in Chengdu and Yibin,while highest in summer and lowest in winter in Dazhou.The main reasons for this regional difference are the seasonal variations of sensible heat fluxes and water vapor conditions.On the whole,the average PM2.5 concentration decreases gradually with the increase of MMH.Heavy polluted weather mostly occurs under the condition of lower MMH and larger relative hu-midity.The lower lifting condensation level limits the increase of mixing layer height.The aerosol hygro-scopic growth is obvious,and the pollutants are easy to accumulate.The high PM2.5 concentration in ba-sin usually occurs in the wind speed of about 1.0 m/s,and the air inflow in the basin has an obvious in-creasing effect on the local pollutant concentration.

maximum mixing height(MMH)characteristics analysisPM2.5meteorological factor

刘炜桦、王寅钧、赵晓莉、王敏、罗磊

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四川省气象灾害防御技术中心(四川省生态气象和卫星遥感中心),成都 610072

中国气象科学研究院灾害天气国家重点实验室,北京 100081

天津市气象信息中心,天津 300074

最大混合层高度 特征分析 PM2.5 气象因子

中国气象局预报员专项中国气象科学研究院基本科研业务费项目&&

CMAYBY2019-1002018Y008ERC-21-001

2024

气象与环境科学
河南省气象局

气象与环境科学

CSTPCD
影响因子:1.28
ISSN:1673-7148
年,卷(期):2024.47(2)
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