GPS Perceptible Water Vapor Inversion Based On Bernese And Its Correlation With PM2.5

With the rapid development of economy and the accelerating of urbanization process,the residents's living standards are significantly improved.However,the problem of environmental pollution is getting more and more serious,which not only seriously jeopardizes the health of residents,but also seriously restricts the sustainable development of the national economy.The problem has been attracted a wide range of attentions.At this stage,Urban haze management is the most important environmental problem of China.Ground-based GPS water vapor inversion technology is widely used,with the advantages of high precision,near real-time,low cost,etc.It is also an important measure to study numerical weather prediction and climate change.When the GPS signal passes through the neutral atmosphere,80%of the delay occurs in the troposphere.The tropospheric atmospheric composition changes will affect the signal delay,especially the influence of water vapor.Although water vapor accounts for only 0.1%-3%of the atmospheric composition,the ZWD which resulted accounts for more than 10%of the total tropospheric delay.PM2.5 is a pollutant that is suspended in the atmosphere and is also a major factor in aggravating the haze disaster.When the haze weather occurs,the atmospheric water vapor content changes with the increasingof PM2.5 and the tropospheric delay is affected.Therefore,by investigating the tropospheric delay,perceptible water vapor and PM2.5,a regression model based on tropospheric delay to PM2.5 and a regression model of perceptible water vapor to PM2.5 are established.Ground-based GPS inversion techniques are applied in Haze analysis.The meteorological department can implement artificial precipitation enhancement based on the perceptible water vapor to alleviate air pollution,and provide a scientific basis for improving air quality.For the accuracy problem of inversion of perceptible water vapor by using PPP and global pressure and temperature model,the relationship between ZTD and PWV the relationship between PWVand PM2.5,the reliability of the PM2.5 model established,the main work contents and results article has done are as follows:1.Introduce the theoretical method of ground-based GPS inversion of water vapor technology and the mechanism of smog formation,inversion of atmospheric precipitation in CORS,zenith tropospheric delay and PM2.5,atmospheric precipitation and PM2.5 The correlation experiment provides a theoretical basis.2.In order to reproduce the accuracy of atmospheric water vapor reduction by using precision single point positioning technology and global pressure and temperature model,the atmospheric precipitation can be calculated by using high precision tropospheric delay and sounding measured data provided by IGS respectively.The point location module solves the zenith tropospheric delay and global atmospheric pressure and temperature models to calculate the accuracy and reliability of atmospheric precipitation.The results show that the precision of the single-point positioning technology solves ZTD is 4.15mm,and the accuracy of inversion of atmospheric precipitation can reach 4.68mm with the global pressure and temperature model.It has high reliability and lacks measured meteorological data.The ideal zenith tropospheric delay and atmospheric precipitation can still be obtained.3.For the tropospheric delay,the relationship between atmospheric precipitation and PM2.5,the zenith tropospheric delay and atmosphere calculated by the 2015 winter data of Jinan,Heze,Rizhao and Yantai in Shandong Province will be used.Correlation experiments between precipitation and PM2.5 data show that the tropospheric delay and atmospheric precipitation in winter are consistent with the overall trend of PM2.5.Correlation;however,in some severe haze days,the zenith tropospheric delay,atmospheric precipitation and PM2.5 showed a strong negative correlation,and then established PM2 based on zenith tropospheric delay and atmospheric precipitation.5 regression models provide a theoretical basis.4.For the reliability problem of PM2.5 monitoring model based on zenith tropospheric delay and atmospheric precipitation,respectively,the PWV-based PM2.5 regression model uses the 2014-2016 winter BJFS station observation data and PM2.5 concentration data as Based on the regression analysis method,a PM2.5 regression prediction model based on zenith tropospheric delay and atmospheric precipitation is established.The PM2.5 regression prediction model was validated by using the winter haze data of 2017 and 2018.The results show that the relative error between the predicted value of the PM2.5 model based on ZTD and the measured value of the meteorological station is less than 10%,accounting for 71%.The relative error between the predicted value of PMW model based on PWV and the measured value of meteorological station is less than 10%,which indicates that the regression effect of the model is significant.Therefore,in the absence of measured meteorological data,the regression model can be used.Monitor the PM2.5 concentration in the area.