Abstract:The primary factors influencing the surface temperature of airport runways are analyzed and the impact level of each factor on the temperature change is clarified in order to provide a basis for the establishment of temperature prediction model. Selecting the hourly temperature data of 15 complete natural days in March 2023 at the east runway of Shanghai Hongqiao Airport as the reference sequence, the grey relational analysis is adopted to conduct the sensitivity analysis on meteorological factors such as average temperature, solar radiation, average wind speed and rainfall. The correlation degrees of each factor are obtained through dimensionless processing and calculation of correlation coefficients. The average temperature has the highest correlation, followed by the average wind speed, solar radiation and rainfall. The variation trends of air temperature and pavement temperature are highly consistent. Wind speed shows a negative correlation feature. Solar radiation has a significant periodic impact. Rainfall is highly random but has a significant effect on short-term temperature changes. The conclusion shows that the air temperature is the dominant factor affecting runway surface temperature, and the wind speed and solar radiation are important auxiliary factors. Rainfall has a significant impact in specific situations. The coupling effect of multiple factors should be comprehensively considered in the prediction model.
