王勇, 刘严萍, 李江波, 柳林涛. GPS和无线电探空的水汽变化与PM2.5/PM10变化的相关性研究[J]. 武汉大学学报 ( 信息科学版), 2016, 41(12): 1626-1631. DOI: 10.13203/j.whugis20140628
引用本文: 王勇, 刘严萍, 李江波, 柳林涛. GPS和无线电探空的水汽变化与PM2.5/PM10变化的相关性研究[J]. 武汉大学学报 ( 信息科学版), 2016, 41(12): 1626-1631. DOI: 10.13203/j.whugis20140628
WANG Yong, LIU Yanping, LI Jiangbo, LIU Lintao. The Correlation Between the Variation of PM2.5/PM10 and Precipitable Water Vapor Based on GPS and Radiosonde[J]. Geomatics and Information Science of Wuhan University, 2016, 41(12): 1626-1631. DOI: 10.13203/j.whugis20140628
Citation: WANG Yong, LIU Yanping, LI Jiangbo, LIU Lintao. The Correlation Between the Variation of PM2.5/PM10 and Precipitable Water Vapor Based on GPS and Radiosonde[J]. Geomatics and Information Science of Wuhan University, 2016, 41(12): 1626-1631. DOI: 10.13203/j.whugis20140628

GPS和无线电探空的水汽变化与PM2.5/PM10变化的相关性研究

The Correlation Between the Variation of PM2.5/PM10 and Precipitable Water Vapor Based on GPS and Radiosonde

  • 摘要: 依据2013年北京天坛站地面PM2.5/PM10、BJNM站GPS水汽和无线电探空水汽观测资料,分别进行了PM2.5/PM10与GPS水汽、无线电探空整层(分层)水汽的比较。研究发现,夏季GPS水汽(PWV)变化与PM2.5/PM10变化没有明显的相关性规律;在秋、冬、春季节,GPS PWV变化与PM2.5/PM10变化的相关系数大于0.5;秋、冬、春季节无线电探空整层(分层)水汽变化与PM2.5/PM10变化的相关系数大于0.5,第3、4层(850~3 000 m)水汽变化与PM2.5/PM10变化的相关性最佳。

     

    Abstract: Based on the observation data of ground PM2.5/PM10, GPS Precipitable Water Vapor (PWV) and Radiosonde PWV in Beijing in 2013, the change among PM2.5/PM10, GPS PWV and Radiosonde PWV per layer of PWV was compared. We found that there is significantly positive correlation between ground PM2.5/PM10 variation and ground GPS PWV change during autumn, winter, and spring. Such a correlation does not exist in the rainy summer months. According to the comparisons between ground PM2.5/PM10 observations and aerial PWV Radiosonde observations made in autumn, winter, and spring, the correlation between ground PM2.5/PM10 variation and total aerial PWV change is also significantly positively related. The correlation between PM2.5/PM10 variation and the 3th/4th water vapor layer (850-3 000 m) PWV change is the most significantly positively related value.

     

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