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DOI10.1007/s00376-011-9234-4
Using Synoptic Classification and Trajectory Analysis to Assess Air Quality during the Winter Heating Period in Urumqi, China
Wang Lili1; Wang Yuesi1; Sun Yang1; Li Yuanyuan2
通讯作者Wang Yuesi
来源期刊ADVANCES IN ATMOSPHERIC SCIENCES
ISSN0256-1530
出版年2012
卷号29期号:2页码:307-319
英文摘要

Synoptic patterns identified by an automated procedure employing principal- component analysis and a two-stage cluster analysis, and backward trajectory analysis clustered by the HYSPLIT4.9 model were used to examine air quality patterns over Urumqi, China, one of the most heavily polluted cities in the world. Six synoptic patterns representing different atmospheric circulation patterns and air-mass characteristics were classified during the winter heating periods from 2001 to 2008, and seven trajectory clusters representing different paths of air masses arriving at Urumqi were calculated during the winter heating periods from 2005 to 2008. Then air quality was evaluated using these two approaches, and significant variations were found across both synoptic patterns and trajectory clusters. The heaviest air-pollution episodes occurred when Urumqi was either in an extremely cold, strong anticyclone or at the front of a migrating cyclone. Both conditions were characterized by with light winds, cold, wet surface air, and relatively dry upper air. Urumqi was predominately influenced by air masses from the southwest and from local areas. Air pollution index (API) levels were highest for air masses originating from the southwest with a longer path or for the local area, because of transport from semi-desert/desert regions by strong winds and because of local heavy pollution emissions, respectively. The interactions between these two analytical approaches showed that poor diffusion conditions, together with local circulation, enhanced air pollution, besides, regional air-mass transport caused by strong winds contributed to serious air quality under relatively good diffusion conditions.


英文关键词synoptic climatology backward trajectory automated meteorological classification air pollution index (API) Urumqi
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000300530700009
WOS关键词CLIMATOLOGICAL APPROACH ; CLUSTER-ANALYSIS ; NORTHERN CHINA ; POLLUTION ; METEOROLOGY ; PATTERNS ; SCHEME ; OZONE ; DUST ; AREA
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
来源机构中国科学院大气物理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/170963
作者单位1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;
2.Xinjiang Weather Off, Urumqi 830002, Peoples R China
推荐引用方式
GB/T 7714
Wang Lili,Wang Yuesi,Sun Yang,et al. Using Synoptic Classification and Trajectory Analysis to Assess Air Quality during the Winter Heating Period in Urumqi, China[J]. 中国科学院大气物理研究所,2012,29(2):307-319.
APA Wang Lili,Wang Yuesi,Sun Yang,&Li Yuanyuan.(2012).Using Synoptic Classification and Trajectory Analysis to Assess Air Quality during the Winter Heating Period in Urumqi, China.ADVANCES IN ATMOSPHERIC SCIENCES,29(2),307-319.
MLA Wang Lili,et al."Using Synoptic Classification and Trajectory Analysis to Assess Air Quality during the Winter Heating Period in Urumqi, China".ADVANCES IN ATMOSPHERIC SCIENCES 29.2(2012):307-319.
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