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机构地区:[1]中国矿业大学(北京)地球科学与测绘工程学院,北京 [2]煤炭精细勘探与智能开发全国重点实验室,北京 [3]北京市勘察设计研究院有限公司,北京
出 处:《地球科学前沿(汉斯)》2023年第8期821-834,共14页Advances in Geosciences
摘 要:近年来,随着城市发展,人们开发城市地下空间的需求越来越大,城市地下灾害隐患也越来越多。如何有效、高精度和高分辨率地获取城市地下空间结构受到了更多的关注。本文利用主被动源面波联合成像方法对城市浅地表地下空间结构进行了探测。通过主被动源面波频散曲线的拼接和自动拾取,对某地下人行通道进行城市浅地表成像研究,清晰显示出埋深9~20 m的低速异常体,与实际资料中异常体位置高度吻合,具有较高的分辨率,为主被动源联合的面波探测方法在城市浅地表成像中的推广应用提供方法支持。In recent years, with the development of cities, people's demand for developing urban under-ground space is increasing, and the hidden dangers of urban underground disasters are also in-creasing. How to obtain urban underground spatial structure effectively, with high precision and high resolution has received more attention. In this paper, the combined imaging method of active and passive surface waves is used to detect the underground space structure of urban shallow surface. Through the splintering and automatic picking of surface wave dispersion curves of active and passive sources, the imaging research on urban shallow surface of an underground pedestrian passage is carried out, and the low-speed abnormal body with a buried depth of 9~20 m is clearly shown, which is highly consistent with the location of the abnormal body in the actual data, and has a high resolution. This method supports the promotion and application of the surface wave detection method combined with active and passive sources in urban shallow surface imaging.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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