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邢台市颗粒污染物变化特征和后向轨迹分析
Analysis of Variation Characteristics of Atmospheric Particulate Matter Pollution and the Influence of Backward Trajectory in Xingtai
投稿时间:2017-05-04  修订日期:2017-12-26
DOI:10.19316/j.issn.1002-6002.2018.05.07
中文关键词:  邢台  PM10  PM2.5  质量浓度  后向轨迹
英文关键词:Xingtai  PM10  PM2.5  mass concentration  backward trajectories
基金项目:河北省科技厅科研项目(15274204D)
作者单位
郝巨飞 邢台市气象局, 河北 邢台 054000 
齐佳慧 邢台市气象局, 河北 邢台 054000 
李永占 邢台市气象局, 河北 邢台 054000 
袁雷武 唐山市气象局, 河北 唐山 063000 
王少明 邢台市环境保护局, 河北 邢台 054000 
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中文摘要:
      为深入了解邢台市PM10、PM2.5浓度变化情况和气流后向轨迹,对邢台市2013-2016年环境大气颗粒污染物监测数据进行了分析,同时利用HYSPLIT模型计算出逐日72 h后向气流轨迹。结果表明:邢台市的PM10和PM2.5质量浓度在2013-2016年间呈逐年下降趋势,PM10和PM2.5质量浓度高值出现在冬季(296 μg/m3和192 μg/m3),最低值出现在夏季(140 μg/m3和80 μg/m3),PM10和PM2.5质量浓度在日变化上均呈"双峰双谷"型分布;后向轨迹的季节聚类分析表明,春季大气颗粒物污染以粒径2.5~10 μm的颗粒污染物为主,夏季、秋季和冬季的大气颗粒物污染以PM2.5为主;逐日聚类分析表明,在路径为西北偏西向的、途经多个沙源地的气流影响下,邢台市的PM10和PM2.5质量浓度处于一个相对高值;来源于偏南向的气流由于化合反应,污染物积聚导致PM10、PM2.5质量浓度也处于相对高值;在来源于西北向和偏北向的、水汽含量相对较低的气流影响下,邢台市的PM10、PM2.5质量浓度出现一个明显的下降。
英文摘要:
      In order to study the long-term variation of PM10 and PM2.5 mass concentration and the influence of backward trajectory in Xingtai city,local air pollutant monitoring data was analyzed,and HYSPLIT model was used to calculate the daily 72 h backward air trajectory in 2013-2016. The results showed that:the mass concentration of PM10 and PM2.5 showed a declining trend over the past 4 years. The seasonal average of PM10 and PM2.5 mass concentration was the highest in winter (296 μg/m3 and 192 μg/m3) and lowest in summer (140 μg/m3 and 80 μg/m3). PM10 and PM2.5 mass concentration presented ‘double peak valley’ type distribution on daily variation. Cluster analysis showed that the particle size of air pollutats in spring mainly ranged from 2.5-10 μm,and the air particulate pollution in summer,autumn and winter was mainly PM2.5. The daily clustering analysis showed that the PM10 and PM2.5 mass concentration were at a high value under the influence of the backward trajectory of the northwest by west,which through several sand source, and the PM10 and PM2.5 mass concentration were at a relatively high value due to the chemical reaction and accumulation of pollutants under the influence of the backward trajectory of the south direction. There was a significant decrease in PM10 and PM2.5 mass concentration under the influence of backward trajectories of the northwest and north direction, which has a relatively low water vapor content.
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