Based On GPS Inversion Of Atmospheric Water Vapor And Haze Weather Research On The Relationship

Recent years,China haze was high trend,people mention "haze" color change.In the face of severe haze problems need to find a response to the policy.Solving haze pollution first requires real-time monitoring of haze in order to take effective precautions to cope with haze weather.But the current haze monitoring technology is not perfect enough,cannot meet the monitoring needs.GPS technology with real-time,continuous,low cost,simple and convenient,free from weather conditions and other advantages.Inversion of atmospheric rainfall based on GPS technology has a high accuracy and has a wide range of applications in weather forecasting.A significant increase in fine particulate matter in the atmosphere during the haze of the haze will change the stability of the troposphere component.Changes in troposphere components can cause changes in atmospheric water vapor and troposphere delays.Which can be used to understand the change of GPS troposphere during the process of fog haze,and apply the change rule which is useful to haze monitoring,so that the application of GPS technology to haze monitoring becomes a new technical means,Need to carry out experimental analysis of this study.Based on the influence of the GPS signal on the troposphere and the influence of PM2.5 on PWV and GPS troposphere delay ZTD,the main contents of this paper are as follows:1?This paper introduces the knowledge of haze,analyzes the causes and distribution characteristics of haze,introduces the current haze monitoring technology,and briefly introduces the current situation and development trend of GPS inversion technology and haze at home and abroad.And then the principle and method of GPS inversion of atmospheric rainfall PWV are introduced in detail.2?The accuracy of the GPS troposphere delay ZTD and GPS/PWV is evaluated by using the high-precision ZTD and the PWV calculated by the IGS.The experimental results meet the accuracy requirements and ensure the accuracy of the experimental data.3?The experimental results show that PM2.5 has similar trend with PWV and shows obvious seasonal characteristics.It is proved that PM2.5 and PWV consistent trend and correlation show the best in autumn and winter,the summer of July and August the worst performance,almost did not show relevance.4?The experimental results show that PM2.5 and ZTD have similar trends in the process of PM2.5 and GPS troposphere delay ZTD in Zhengzhou and Beijing.The results show that the PM2.5 and ZTD have similar trends and show seasonal characteristics.It is proved that the PM2.5 and ZTD consistency trend and the correlation show the best performance in autumn and winter,and in the summer of July and August the worst performance,almost did not show relevance.