Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/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
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ISSN | 0256-1530 |
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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