摘要
运用HYSPLIT4.9模式和全球资料同化系统(GDAS)气象数据,计算了2016年西安市四季代表月(1、4、7、10月)气团的24h后向轨迹,利用聚类分析方法分析各月气团轨迹的代表性输送路径。研究发现西安市大气颗粒物的输送路径主要分为远距离运输、城市间运输及本地运输3类。其中,本地输送源所占的比例最大,主要与气象、地形条件有关;周边城市污染物排放也占据较大比例。
Using the HYSPLIT4.9 model and Global Data Assimilation System （GDAS） meteorological data, the 24-hour backward trajectories of the four seasons （January,April,July and October） of Xi＇an in 2016 were calculated, the representative transport path of these trajectory was analyzed by cluster analysis method. It is found that the transportation path of atmospheric particulate matter in Xi＇an is mainly divided into three categories： long-distance transportation, inter-city transportation and local transportation. Among them, the proportion of local transmission source is the largest, which was mainly associated with given meteorological and terrain conditions; Emissions from the nearby cities of the Xi＇an also occupy a large part in the total trajectories
出处
《智能城市》
2017年第5期62-65,共4页
Intelligent City
关键词
大气颗粒物
HYSPLIT模式
后向轨迹模拟
聚类分析
atmospheric particulate matter
HYSPLIT model
backward trajectory simulation
cluster analysis
