Novel Methodologies for the Development of Large-Scale Airport Noise Map

Jinlong Xie, Lei Zhu and Hsiao Mun Lee
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Jinlong Xie: School of Mechanical and Electrical Engineering, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou 510006, China
Lei Zhu: School of Mechanical and Electrical Engineering, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou 510006, China
Hsiao Mun Lee: School of Mechanical and Electrical Engineering, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou 510006, China

Sustainability, 2022, vol. 14, issue 11, 1-31

Abstract: Guangzhou Baiyun International Airport (BIA) is the core airport of Guangdong–Hong Kong–Macau Greater Bay Area. This study produced the noise maps of BIA during summer and winter using a simplified calculation method for the weighted equivalent continuous perceived noise level ( L WECPN ). Particularly, this method used open-source flight data and short-term noise measurement to replace the traditional long-term noise measurement method. The accuracy of the developed noise map was verified by the field experimental data with an average error of 1.5 dB. The noise maps were analyzed in many aspects including the area and population under different noise levels, the spatial distribution of the aircraft noise, the distribution of noise sensitive points, and the land use condition around BIA. It was manifested that about 22.22% and 25.46% of the total population of the five administrative regions were exposed to L WECPN > 70 dB during summer and winter, respectively. The total area within the noise-affected area that violated the noise limit were about 18.740 km 2 and 18.109 km 2 during summer and winter, respectively.

Keywords: noise map; Guangzhou Baiyun International Airport; aircraft noise (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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