PAN Wenchao, HAO Jinming, ZHANG Hui, YANG Yong. Correlation of the Haze and GPS Troposphere Zenith Path Delay[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 609-615. DOI: 10.13203/j.whugis20140693
Citation: PAN Wenchao, HAO Jinming, ZHANG Hui, YANG Yong. Correlation of the Haze and GPS Troposphere Zenith Path Delay[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 609-615. DOI: 10.13203/j.whugis20140693

Correlation of the Haze and GPS Troposphere Zenith Path Delay

  • The main part of the tropospheric delay in satellite navigation and positioning is caused by the refraction inherent in the composition of the atmosphere and changes in atmospheric composition, due to haze, an air polluting condition that places enormous impact on production and life. There must be some degree of correlation between these two factors. By using the zenith path delay (ZPD) production supplied by the IGS, we study the correlation between haze and probe suspended particulate matter, the "culprit" of haze, and variation in air pressure, temperature, and humidity. A study of 30-day daily-average ZPDand air quality index (AQI) and quantitative assessment of haze trends showed at four IGS stations in China that both synchronously increased and decreased. The correlation coefficient of three inland stations was greater than the absolute value of 0.5, indicating ZPD and AQI, the characterization of haze, were strongly correlated and that haze has an impact on tropospheric delay. Trends individual air quality index (IAQI) and ZPD at Beijing Fangshan (BJFS) with a one-hour sampling rate were analyzed, both changed basically the same way.The correlation coefficients for PM2.5, PM10, AQI and ZPD were 0.504 2, 0.5391 and 0.558 3. Meanwhile, the AQI, when it reached 300 or more, had a significant impact on ZPD with more than 5cm bias. M-file of IGS is exploited to probe the changing tendencies of each IAQI with the air pressure, temperature and humidity over a 24-hour period. It shows that IAQI, air pressure, and humidity have a "U" trend, and the temperature has inverted "U" change in one day. This suggests that the air pressure, temperature, and humidity make great contribution to the formation of haze, a schematic model is given using stepwise linear regression.
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