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隧道与地下工程灾害防治
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交通噪声数据质量控制方法及其在面波勘探中的应用
宋长青,方晓正,谢继安
(广东电网有限责任公司广州供电局 广东 广州 510620)
Traffic noise data quality control method and its application in surface wave exploration
SONG Changqing,FANG Xiaozheng , XIE Jian
(Guangdong Power Grid Co., Ltd., Guangzhou Power Supply Bureau, Guangzhou 510620, Guangdong, China)
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摘要 交通噪声面波勘探在城市浅地表勘探中具有巨大的潜力,但目前频散信息成像质量较差。为了解决面波在城市浅地表勘探中的应用难题,提出一种适用于交通噪声的数据质量控制方法,通过信噪比数据筛选及相位加权叠加进行质量控制,有效提高了交通噪声面波频散成像信噪比及分辨率,拾取了更高精度的频散信息,应用本研究提出的交通噪声数据质量控制方法,在广州凰岗电力隧道实测数据中进行验证,取得了显著的效果。本研究方法为交通噪声面波勘探提供了一种有效的数据质量控制方法,有利于推广交通噪声在面波勘探中的应用。
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宋长青
方晓正
谢继安
关键词:  固体地球物理  交通噪声  面波勘探  数据质量控制    
Abstract: Traffic noise surface wave exploration held substantial promise for urban shallow surface investigations. Nonetheless, current dispersion information was hampered by poor quality. To address these challenges in urban shallow surface exploration, a data quality control method tailored for traffic noise was proposed in this study. This method involved enhancing signal-to-noise ratios through data screening and phase-weighted superposition, effectively elevating the quality of traffic noise surface waves. Improved signal-to-noise ratios and resolution enhanced the precision of dispersion imaging, as demonstrated by the successful application of this method in data collected from the Guangzhou Huanggang Power Tunnel. This paper presented a robust data quality control approach for traffic noise surface wave exploration, facilitating broader utilization of traffic noise in surface wave investigations.
Key words:  solid earth physics    traffic noise    surface wave exploration    data quality control
收稿日期:  2024-05-29      修回日期:  2024-08-18      发布日期:  2024-08-19     
中图分类号:  P31  
基金资助: 南方电网公司科技资助项目(080000KK52210038/GZHKJXM20210057)
作者简介:  宋长青(1972—),男,黑龙江佳木斯人,副高级工程师,硕士,主要研究方向为城市市政建设与工程管理。songchangqing@gzps.corp.csg
引用本文:    
宋长青, 方晓正, 谢继安. 交通噪声数据质量控制方法及其在面波勘探中的应用[J]. 隧道与地下工程灾害防治, .
SONG Changqing, FANG Xiaozheng , XIE Jian. Traffic noise data quality control method and its application in surface wave exploration. Hazard Control in Tunnelling and Underground Engineering, 0, (): 1-10.
链接本文:  
[1] 王佳铖, 赵志宏, 陈进帆, 贺洁, 周露明, 谭现锋. 深层地热能开采与储能系统模拟研究[J]. 隧道与地下工程灾害防治, 2024, 6(1): 84-93.
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