地下特征探测地球物理数据采集方法综述及未来发展趋势

IF 6.7 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Chuanyang Peng, Chao Wang, Zili Li
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引用次数: 0

摘要

人类活动的加速和对自然资源日益增长的需求促进了对地下环境全面了解的需要。本文全面综述了地下特征探测(UFD)的非破坏性地球物理数据采集方法,重点介绍了基于波的方法(如地震波和声波)、基于电磁场的方法(如电阻率层析成像(ERT)和瞬变电磁法(TEM))和基于密度对比的方法(重力测量和超声成像)。讨论了各种方法的原理、历史发展、当前研究趋势和领域应用,分析了各自的优点和局限性。基于波的方法,如探地雷达和地震反射,为近地表空洞提供了高分辨率成像,但受到信号衰减和地质非均质性的限制。电磁方法具有较深的穿透性,但受外部干扰和电导率变化的影响。尽管传统的重力仪在分辨率和灵敏度方面面临挑战,但基于密度对比的方法提供了稳定且无创的深埋腔检测。量子重力仪是最新的进展,利用原子干涉测量法获得无与伦比的精度,但其广泛采用仍然受到便携性,环境稳定性和成本等问题的限制。未来的进展将集中在提高检测精度,提高现实世界的适用性,以及集成人工智能来自动化数据处理和改进多方法数据融合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of geophysical data acquisition methods for underground feature detection and future trends
Accelerated human activities and the growing demand for natural resources have facilitated the need for a comprehensive understanding of subsurface environments. This paper comprehensively reviews non-destructive geophysical data acquisition methods for underground feature detection (UFD), focusing on wave-based methods (e.g., seismic and acoustic waves), electromagnetic field-based methods (e.g., electrical resistivity tomography (ERT) and transient electromagnetic method (TEM)), and density contrast-based methods (gravimetry and muography). The principles, historical development, current research trends and field applications of each method are discussed, with their respective advantages and limitations analysed. Wave-based methods, such as ground-penetrating radar and seismic reflection, offer high-resolution imaging for near-surface cavities but are constrained by signal attenuation and geological heterogeneity. Electromagnetic methods provide deeper penetration but are affected by external interference and conductivity variations. Density contrast-based methods provide stable and non-invasive detection of deeply buried cavities, although conventional gravimeters face challenges related to resolution and sensitivity. Quantum gravimeter, the most recent advancement, leverages atomic interferometry for unparalleled precision, yet its widespread adoption remains constrained by issues of portability, environmental stability, and cost. Future advancements will focus on enhancing detection accuracy, improving real-world applicability, and integrating artificial intelligence to automate data processing and refine multi-method data fusion.
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来源期刊
Tunnelling and Underground Space Technology
Tunnelling and Underground Space Technology 工程技术-工程:土木
CiteScore
11.90
自引率
18.80%
发文量
454
审稿时长
10.8 months
期刊介绍: Tunnelling and Underground Space Technology is an international journal which publishes authoritative articles encompassing the development of innovative uses of underground space and the results of high quality research into improved, more cost-effective techniques for the planning, geo-investigation, design, construction, operation and maintenance of underground and earth-sheltered structures. The journal provides an effective vehicle for the improved worldwide exchange of information on developments in underground technology - and the experience gained from its use - and is strongly committed to publishing papers on the interdisciplinary aspects of creating, planning, and regulating underground space.
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