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雾霾过程中AQI与ZTD、PM2.5与PWV的时序特征分析

发布时间:2019-03-10 18:07
【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。
[Abstract]:This paper introduces the basic principle of ground-based GPS inversion of atmospheric precipitable (PWV), calculates five IGS stations with GAMIT software, and extracts PWV.. On this basis, the temporal characteristics of zenith tropospheric delay (ZTD), air quality index (AQI), PWV and fine particulate matter (PM2.5) in Beijing with and without haze during the experiment period were analyzed. The results show that there is a strong correlation between AQI and ZTD,PM2.5 and PWV, the correlation coefficient between AQI and ZTD is above 0.53, the highest is 0.93, and the correlation coefficient between AQI and PWV is higher than 0.53 when haze is generated to dissipate, and the correlation coefficient between AQI and ZTD is 0.93. The correlation coefficient between PM2.5 and PWV is greater than 0.52, and it is up to 0.93. Under the condition of no haze, the correlation coefficients of AQI, ZTD,PM2.5 and PWV were 0.83 and 0.82 respectively, but the correlation coefficients of them were only 0.16 and 0.28 respectively.
【作者单位】: 桂林理工大学测绘地理信息学院;广西空间信息与测绘重点实验室;东海航海保障中心上海海事测绘中心;
【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)
【分类号】:P228.4;X51


本文编号:2437860

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