Development And Application Of A Large-scale Airport Noise Map Based On CadnaA Software

Currently,with the rapid development of the domestic and international air transport industry,airport noise pollution is becoming more serious.Therefore,this study takes the Guangzhou Baiyun International Airport（BIA）as an example and proposes a low-cost and high-reliability method for constructing airport noise maps by applying CadnaA software.This study mainly constructed the accurate noise maps of BIA in summer and winter,followed by noise exposure analysis of the noise maps,then proposed practical noise reduction strategies,and finally completed the prediction of future aircraft noise levels at BIA.The main research contents and results are as follows:（1）This study first determined the technical route for constructing the airport noise maps and introduced the construction method of the airport noise model in detail.Second,field experiments were conducted to correct the parameters of the airport noise model,and finally completed the validation experiments of the airport noise model.The validation experiment results show that the average error between the measured values and simulated values is 1.5d B,which is lower than the average error of other similar studies in the literature database.Additionally,the measured values of large and small area field noise experiments are highly correlated with the simulated values（R²=0.976）,so the noise maps constructed in this study are accurate.（2）Noise exposure analysis of airport noise maps.First,this study determined the impact range of the noise-affected area(L_WECPN>70d B)in each direction of BIA.Second,the analysis of the exposed area and exposed population shows that the winter has a less noise-affected area,but more populations will be affected by aircraft noise.On this basis,a novel method was proposed to calculate the population annoyed and highly annoyed by aircraft noise in the noise-affected area.Furthermore,the noise exposure analysis was conducted for the noise-sensitive points around the BIA,which found that more noise-sensitive points were exposed to the noise-affected area in the winter.Finally,the noise exposure of different functional areas was analyzed to determine the areas where aircraft noise exceeds the noise limit.（3）Based on the noise maps of BIA,several practical noise reduction strategies were proposed.The noise reduction strategies primarily include optimizing aircraft types,reducing night flights,optimizing flight tracks,and extending the runway.The simulation results show that each strategy has its highlights and can bring reliable noise reduction effects to BIA.（4）The future aircraft noise levels of BIA were predicted.Based on the noise model and airport operation data of BIA,this study proposed a method for predicting future aircraft noise levels and constructed the noise maps of BIA in 2030.Based on this,the future airport operation scenario with less aircraft noise pollution was further determined while finding that the aircraft noise pollution at BIA will increase significantly in 2030（especially in the winter）.The research methods and results of this study not only contribute to the aircraft noise control and sustainable development of BIA,but also provide novel ideas for other similar large-scale airports.