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北京PM10持续污染及与常规气象要素的关系
引用本文:隋珂珂,王自发,杨 军,谢付莹,赵 越.北京PM10持续污染及与常规气象要素的关系[J].环境科学研究,2007,20(6):77-82.
作者姓名:隋珂珂  王自发  杨 军  谢付莹  赵 越
作者单位:1.南京信息工程大学 应用气象学院,江苏 南京 210044;中国科学院 大气物理研究所,大气边界层物理与大气化学国家重点实验室,北京 100029
基金项目:北京市科学技术委员会和北京市环境保护局奥运保障项目
摘    要:北京PM10持续污染已成为重要的污染现象.选用2000年6月─2002年12月北京空气质量日报和2003年1月─2006年2月9个代表站逐日ρ(PM10)监测资料,利用奥林匹克体育中心站的数据分析了2003年以来北京地区空气污染状况,总结了该站近4年的PM10持续污染变化趋势,并统计其与相对湿度、温度、风速和风向等常规气象要素的相关性.结果表明:①北京近几年秋末PM10持续污染有加重趋势,各站点污染具有同步性;②PM10持续污染以春、秋、冬季出现次数多,概率大,相对湿度、风速和风向对其影响较大,其中相对湿度与秋、冬两季持续污染概率的相关系数分别为0.96和0.97,相关性较好. 

关 键 词:PM10    持续污染    气象要素    污染概率
文章编号:1001-6929(2007)06-0077-06
收稿时间:2007-04-09
修稿时间:2007-05-21

Beijing Persistent PM10 Pollution and Its Relationship with General Meteorological Features
SUI Ke-ke,WANG Zi-f,YANG Jun,XIE Fu-ying and ZHAO Yue.Beijing Persistent PM10 Pollution and Its Relationship with General Meteorological Features[J].Research of Environmental Sciences,2007,20(6):77-82.
Authors:SUI Ke-ke  WANG Zi-f  YANG Jun  XIE Fu-ying and ZHAO Yue
Abstract:The continuing pollution caused by inhalable particulate matter (PM10)has become a major contamination in Beijing. Using the air quality daily reports in Beijing from June 2000 to December 2002 and daily monitoring data of PM10 at nine stations from January 2003 to February 2006, and the data on the Olympic Center Station during the same time, the air pollution from 2003 in Beijing was analyzed, the continuous pollution trends at Olympic Center Station for nearly four years summarized, and its relationship with relative humidity, temperature, wind speed and wind direction, etc. examined. It is found that: ① the PM10 pollution at the end of the autumn in Beijing has aggravated in the recent years with synchronous pollution in each station; ② continuing pollution is frequentlyin spring, autumn and winter, the relative humidity and wind speed and direction have greater impact on it, and the correlation coefficient between the humidity and the continuing pollution probability in autumn and winter is high at about0.96 and 0.97, respectively. 
Keywords:PM10  continuing pollution  meteorological factors  pollution probability
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