The air water vapor content and annual precipitation in China decrease from southeast coast to northwest inland, and there is a good spatial similarity between them. By studying the fitting relationship between them, it is possible to find a good statistical law and a breakthrough in the study of influence of air water vapor content on annual average precipitation. Based on this spatial similarity, the average precipitation (P) and air water vapor content (W) of 121 sounding stations from 1971 to 2000 in China were studied and the fitting formula between them was found, namely P=44.385 (W-2.66), with a highly positive correlation between the two, R²=0.8293. Further, the study on monthly average precipitation and air water vapor content over the years found a high positive correlation between the two, and the above results passed the review and verification. Air water vapor content W multiplied by the study area is the stock of air water vapor, namely the liquid volume converted from air water vapor. There are many factors affecting annual average precipitation. The minor influencing factors were ignored and the main influencing factor was found in the fitting formula. It is the stock of air water vapor, and its quantitative parameter is the air water vapor content W. The study also found that when the air water vapor content is equal to or more than 14 mm, the annual average precipitation of all stations would be equal to or more than 400 mm. The annual average water vapor content equal to or more than 14 mm is a sufficient and unnecessary condition for the average annual precipitation equal to or more than 400 mm.

Based on the gale observation data at Pudong and Nanhui national weather stations and twelve automatic weather stations and surface roughness data along the rail transit line 16 of Shanghai, the temporal and spatial characteristics of wind speed, wind direction and gust factor were studied on the rail transit line 16 and surroundings, the driving risks of train under dominant wind directions were discussed, and the suggestions of wind measurement equipment layout on elevated section of the rail transit line 16 were given. The results show that it was necessary to carry out more dense observation of wind speed and wind direction, especially pay a close attention to severe convection weathers in summer. During the influence of typhoon processes on Shanghai, the differences of wind speed between adjacent automatic weather stations near Luoshanlu station and Zhoupudong-Xinchang, Yeshengdongwuyuan-Huinandong, Shuyuan-Lingangdadao sections of the rail transit line 16 were quite obvious, and the influences of surface roughness on wind speed at Longyanglu-Luoshanlu, Yeshengdongwuyuan-Huinandong sections and Dishuihu station were greater, while the wind directions of Longyanglu-Luoshanlu, Zhoupudong-Xinchang and Yeshengdongwuyuan-Huinandong sections were quite different. It is suggested that the section of Longyanglu-Luoshanlu and Zhoupudong-Xinchang along the rail transit line 16 should be added an automatic weather station, respectively.