Research On Regional Ground-based GNSS Layered Water Vapor Inversion And PM2.5 Correlation

Real-time,high-precision,high-resolution three-dimensional water vapor distribution and spatial and temporal change information can provide raw water vapor data for weather forecasting,disaster monitoring and other fields.However,the current water vapor detection methods severely restrict the in-depth study of the atmosphere and measurement and other disciplines,and limit human cognition of heat transfer and the global water cycle.With the development of GNSS theory and the update of receiver hardware products,the all-weather,real-time and high-precision industrial advantages of GNSS technology are closely watched by all walks of life.GNSS dynamic monitoring of water vapor has significant application value belonging to both industry innovative applications and expanding popular application models.Today's Hong Kong economy is booming and developing,and people's living standards have improved significantly.At the same time,the haze phenomenon has become more and more prominent,seriously harming people's physical and mental health.In this paper,based on the principles and methods of GNSS technology to retrieve atmospheric precipitable water,with the help of abundant raw data in Hong Kong,we explore the optimal choice of regional meteorological models,the verification of localized atmospheric weighted average temperature models,and the construction of refined layered water vapor models To explore the correlation between PM 2.5 concentration and water vapor.The main research contents are as follows:(1)Introduce the theory and method of ground-based GNSS technology and sounding data inversion PWV technology and the solution strategy of GNSS software positioning,evaluate the reliability and accuracy of non-difference network solution software GPAS inversion PWV,and provide the follow-up regional GNSS PWV The inversion of the correlation between ZTD/PWV and PM 2.5 concentration provides a theoretical basis.(2)Accuracy and applicability evaluation of standard sea level model,GPT model,GPT2 model.The PWV inversion is combined with the data of CORS station,and the PWV calculated from the measured meteorological data is taken as the true value.The results show that the GPT2 model has the highest accuracy and the mean square deviation is 1.28mm,the standard sea level model has the lowest accuracy,and the mean square deviation is 2.85mm,which is no The selection of the meteorological model for the meteorological station with actual meteorological data provides theoretical support.(3)Use IGR and IGU products instead of IGF products to participate in the calculation of PWV,and use the sounding PWV value as a reference to compare the accuracy of the ground-based GNSS PWV estimated by the three products.The results show that the inversion results of IGR and IGU products are lower than that of IGF,but the correlation between the three is greater than 0.998,which can meet the accuracy requirements of weather forecast.(4)Integrate meteorological data from Kings Park sounding station from 2005 to 2018,and use numerical integration method to fit a regional atmospheric weighted average temperature model based on surface pressure and temperature,and Bevis model,Yao Yibin model and Xue Compared with the Qi model,it is found that the model has the best local simulation effect,with an average deviation of 0.283K and a mean square deviation of 1.8374K,which is more in line with the complex weather conditions in the area.(5)By matching the data from the Hong Kong CORS network and the air quality monitoring station,we select the Fanling Station(HKFN)?Tai Po Station,Huangshi Station(HKWS)?Tamen Station which have a relatively small distance and can basically cover the whole territory,Shatian Station(HKST)?Shatian Station,Stonecutters Island Station(HKSC)?Sham Shui Po Station four pairs of stations,the correlation analysis of ZTD/PWV value and PM 2.5 concentration.The results show that the ZTD/PWV value has a strong negative correlation with PM 2.5 concentration.(6)Use the collected meteorological stratification factors to integrate in height to vertically stratify the ZTD/PWV to obtain the three-dimensional distribution of water vapor in the whole area.It can be concluded that the water vapor and The PM 2.5 concentration in the air has the highest correlation.