摘要
介绍了地基GPS反演大气可降水量(PWV)的基本原理;采用GAMIT软件对5个IGS站进行解算,提取了PWV。在此基础上对试验时段内北京有雾霾和无雾霾的时段进行了天顶对流层延迟(ZTD)与空气质量指数(AQI)、PWV与细颗粒物(PM2.5)的时序特征分析。结果表明,在雾霾生成到消散的各阶段,AQI与ZTD、PM2.5与PWV具有极强的相关性;AQI与ZTD的相关系数在0.53以上,最高达0.93;PM2.5与PWV的相关系数大于0.52,个别时段高达0.93。在无霾情况下,AQI与ZTD、PM2.5与PWV也有较高的相关性,相关系数分别可达0.83和0.82;但在个别时段,它们的相关性较弱,相关系数分别仅为0.16和0.28。
The basic principles of Precipitable Water Vapor(PWV)inversion based on ground-based GPSare discussed in this paper.Using GAMIT/BLOCK software we have calculated5IGS stations’data andobtained PWV.On the basis of these we analyze the temporal characteristics about Zenith TroposphericDelay(ZTD)and Air Quality Index(AQI),PWV and Fine Particulate Matter(PM2.5)whether there is fogand haze or not during the experimental period in Beijing.The results show that there is a very strongcorrelation between AQI and ZTD,PM2.5and PWV in different stage of fog and haze from generation todissipation.The correlation coefficient of AQI and ZTD is above0.53,up to0.93;and that of PM2.5andPWV is above0.52,up to0.93in a few session.In the case of no fog and haze,also there is a highcorrelation between AQI and ZTD,PM2.5and PWV,the correlation coefficient is up to0.83and0.82,respectively.But in a few session there is a weak correlation between them,the correlation coefficient isonly0.16and0.28,respectively.
作者
谢劭峰
靳利洋
张朋飞
黄良珂
Xie Shaofeng;Jin Liyang;Zhang Pengfei;Huang Liangke(College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541004,China;Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin 541004,China;Hydrography Department Shanghai Maritime Safety Administration,DNSA,Shanghai 20086,China)
出处
《科技通报》
北大核心
2017年第4期32-35,共4页
Bulletin of Science and Technology
基金
国家自然科学基金(41541032
41064001)
广西自然科学基金(2015GXNSFAA139230)
广西空间信息与测绘重点实验室资助课题(14-045-24-10
15-140-07-11)
关键词
天顶对流层延迟
可降水量
空气质量指数
PM2.5
时序特征
zenith tropospheric delay
precipitable water vapor
air quality index
PM2.5
temporal characteristics
