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机场飞机噪声的预测研究
引用本文:潘卫军,郑媛元.机场飞机噪声的预测研究[J].四川环境,2012,31(3):56-60.
作者姓名:潘卫军  郑媛元
作者单位:中国民航飞行学院,四川广汉,618307
基金项目:中国民航飞行学院研究生创新项目
摘    要:本文以机场飞机噪声为研究对象,采用国际民航组织推荐使用的计权等效连续感觉噪声级(LWECPN)为评价量,以广汉机场为例,通过定量分析,利用MATLAB拟合出机场周围各监测点飞机噪声与跑道中心线对数距离的线性方程,然后将该方程用于对未知监测点的LWECPN预测,并与实测数据对比检验其准确度。结果表明,采用该线性拟合预测方法所得到的未知监测点的噪声预测值与实测值较为接近,两者的相对误差保持在1.0%到2.0%之间,预测准确度较好。值得一提的是,该方法操作相对简便,可以达到快速预测机场周边噪声敏感点LWECPN的目的,为今后飞机噪声的预测研究提出一种新的预测方法,具有一定的实际意义。

关 键 词:航空运输  快速预测  飞机噪声  线性拟合  机场

Study on Noise Prediction of Airport
PAN Wei-jun,ZHENG Yuan-yuan.Study on Noise Prediction of Airport[J].Sichuan Environment,2012,31(3):56-60.
Authors:PAN Wei-jun  ZHENG Yuan-yuan
Institution:(Civil Aviation Flight University of China, Guanghan, Sichuan 618307, China)
Abstract:In this paper, a case study was conducted in Guangban Airport to research the airport noise adopting the Weighted Equivalent Continuous Perceive Noise Level (LWECPN) recommended by International Civil Aviation Organization (ICAO) as a rating parameter. By means of quantitative analysis using MATLAB, a linear equation was set up to describe the aircraft noise level at monitoring points around the airport versus the logarithms of the distances between the monitoring points and the nmway centerline. Then the linear equation was used to predict the LWECPN of the points else and compared with the data determined. The results showed that the predicted values were close to the measured values with relative error ranging in 1.0% ~ 2.0%. It should be emphasized that this method is easy to operation and it is quick to obtain the results. It provides a new prediction method for noise prediction, having practical significance.
Keywords:Air transportation  rapid prediction  aircraft noise  linear fitting  airport
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