摘要
随机噪声观测技术的潜在应用前景已被众多学者公认,但由于噪声源复杂、观测方式特殊等因素,导致随机噪声勘探法仍处于探索阶段。为推动随机噪声勘探法的实际应用,本文通过现场试验数据,计算了不同采样率、采样时长、台阵半径和不同应用场景中随机噪声的Fourier谱、功率谱密度和相关系数,分析了不同应用场景的信号特征,研究了不同因素对探测结果的影响规律,以期解决城市环境中常规物探方法难于开展或根本无法开展的难题。结果表明不同应用场景中,随机噪声呈现出不同的有效频带,详细了解这一特征有助于指导施工设计;采样率会影响观测精度,试验证实在满足采样定理的前提下采用较高的采样率能够获得更好的测量结果;较短的采样时长仍能获得高质量噪声数据,但受限于随机噪声复杂性,需要通过现场试验获得最佳采样时长;更小台阵半径仍能保证随机噪声的时空平稳性,有利于拓展随机噪声勘探法的应用领域。
The potential application prospects of ambient noise observation techniques have been recognized by many scholars,but the ambient noise exploration method is still in the exploration stage due to factors such as complex noise sources and special observation methods.In order to promote the practical application of the ambient noise exploration method,we calculated the Fourier spectrum,power spectral density and the correlation coefficient of ambient noise with different sampling rates,sampling durations,station array radii and different application scenarios through field test data,and then,we analyzed the signal characteristics in different application scenarios and studied the influence of different factors,with a view to solving the difficulties of conventional geophysical prospecting methods in urban environments.The results show that:ambient noise in different application scenarios presents different effective frequency bands,and a detailed understanding of this characteristic can help guide the construction design.The sampling rate affects the observation accuracy,and it is confirmed that a higher sampling rate can obtain better measurement results under the premise of satisfying the sampling theorem.A shorter sampling time can yield high quality noise data,but due to the complexity of ambient noise,the best sampling time needs to be obtained through field test.Smaller array radius can still ensure the temporal and spatial stability of ambient noise,which is conducive to expand the application of ambient noise exploration method.
作者
孟庆生
李杨
王文静
陈玉红
Meng Qingsheng;Li Yang;Wang Wenjing;Chen Yuhong(College of Environmental Science and Engineering,Ocean University of China,Qingdao 266100,China;The Key Laboratory of Marine Environment and Ecology,Ministry of Education,Qingdao 266100,China;Shandong Provincial Key Laboratory of Marine Environmental Geological Engineering,Qingdao 266100,China)
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2023年第6期134-141,共8页
Periodical of Ocean University of China
基金
国家自然科学基金项目(42272327)
山东省社会民生项目(202131001)资助。
作者简介
孟庆生(1972-),男,教授。E-mail:qingsheng@ouc.edu.cn。
