福州市PM10突变特征与气象条件的关系研究
THE RELATIONSHIP BETWEEN MUTATION CHARACTERISTICS OF PM10 AND METEOROLOGICAL CONDITIONS IN FUZHOU CITY
-
摘要: 利用2004~2006年福州市PM10逐日资料,及同期地面气象要素资料和08时850hPa天气图资料,采用统计分析方法,综合分析了PM10发生突变时气象条件的变化特征,结果表明:当地面气象要素场出现气压下降、风速下降、温度上升、相对湿度上升、降水量下降或出现气压上升、风速下降、温度下降、相对湿度下降、降水量下降的配置时PM10易发生正突变;当出现气压上升、风速上升、温度下降、相对湿度维持、降水量上升或出现气压下降、风速上升、温度上升、相对湿度上升、降水量上升的配置时PM10易发生负突变;当受大陆高压后部、暖区辐合系统影响时,PM10发生正突变的概率较高,受切变线、大陆高压前部系统影响时,PM10发生负突变的概率较高。Abstract: Based on the daily data of PM10 for Fuzhou,synchronous data of surface meteorological elements and synoptic chart data of 8 am at 850 hPa from 2004 to 2006 and the variation characteristics of meteorological conditions during the mutation process of PM10 are comprehensively analyzed with statistical analysis methods. The results show that when surface meteorological elements are allocated such that surface pressure falls,wind speed decreases,temperature and relative humidity increase and precipitation reduces,or that surface pressure goes up,wind speed decreases,temperature lowers,relative humidity decreases and precipitation reduces,it is easy for PM10 to have positive mutation. When surface pressure goes up,wind speed rises,temperature lowers,relative humidity remains unchanged and precipitation increases,or when surface pressure falls,wind speed rises,temperature and relative humidity increase and precipitation increases,it is easy for PM10 to have negative mutation. PM10 is more likely to have positive mutations when influenced by the posterior of a continental high pressure or the warm sector of a convergence system; it is more likely to negative mutations while influenced by a shear line or the anterior of a continental high pressure.
-
Key words:
- PM10 /
- mutation character /
- meteorological condition
-
[1] 许建明,徐祥德,刘煜,等.CMAQ-MOS区域空气质量统计修正模型预报途径研究[J].中国科学(D辑),2005,35(z1):131-144. [2] 王扬锋,左洪超,马雁军,等.应用Models-3模式系统对沈阳市空气质量的数值模拟研究[J].环境科学学报,2007(3):487-493. [3] 罗森波,罗秋红,谢炯光,等.广州市大气污染与气象条件关系的统计分析[J].热带气象学报,2006,22(6):567-573. [4] ROBESON S M.Evaluation and comparison of statistical forecast models for daily maximum ozone concentrations[J].Atmospheric Environment,1990,24B(3):303-312. [5] 林祥明,林永登,冯宏芳,等.利用地面气象资料进行福州市空气质量日预报[J].热带气象学报,2001,17(3):320-322. [6] 纪忠萍,罗森波,邝建新,等.广州市空气污染的变化特征及预报[J].热带气象学报,2006,22(6):574-581. [7] 陈柳,马广大.大气中SO2浓度的小波分析及神经网络预测[J].环境科学学报,2006,26 (9):1 553-1 558. [8] DANIEL G,RAINHAM C.Synoptic weather patterns and modification of the association between air pollution and human mortality[C].Vancouver:the 16th Conference on Biometeorology and Aerobiology and the fifth Symposium on the Urban Environment,2004:42-80. [9] 刘京雄,林长城,蔡义勇,等.闽南地区酸雨特征与其影响天气系统的统计分析[J].热带气象学报,2007,23(1):48-52.
点击查看大图
计量
- 文章访问数: 916
- HTML全文浏览量: 0
- PDF下载量: 1261
- 被引次数: 0