Methodologies for the prediction of future aircraft noise level

Abstract

This study proposed a method to predict the future aircraft noise level of the international airport by taking Baiyun International Airport (BIA) as an example. BIA was selected to be studied because it is an important international aviation hub in China. The third phase expansion project of BIA is currently in progress, which is the largest airport expansion project in China. The method included the analysis of current operation of the airport, prediction of future operation scenario and operation of the airport, and predicted future population around the airport. Based on the predicted information, this study used CadnaA software to construct and analyze the noise maps of BIA during summer and winter in 2030. The major advancement of this study compared to that of previous research is that this study predicted the noise levels of the airport during summer and winter separately based on the wind direction of airport location, while other research did not take wind direction into consideration. It is found that operation Scenario 1 produces lower noise pollution level in the future compared to Scenario 2 based on the noise exposure results. It is worth mentioning that in 2030 during winter, when the noise level is greater than 70 dB, the noise-exposed area and population of BIA increase by 71.88 and 146.87% (Scenario 1), respectively, compared to current data, which is more serious compared to the growth rate during summer.

Keywords

• future aircraft noise
• prediction method, cadnaa, pollution, noise control