地球与行星物理论评（中英文）2026，Vol.57Issue(3)：358-370,13.DOI:10.19975/j.dqyxx.2025-008
利用反射地震探测关中地区城市活动断层
Using reflection seismic technology to detect urban active faults in Guanzhong area
摘要
Abstract
The neotectonic movement is active in Guanzhong Basin,with extensive development of ground fissures and active faults.To solve the problem of uncertain distribution of concealed active faults in urban areas,in this study,active fault detection was carried out in Guanzhong Basin,and the vibroseis shallow reflection seismic technique was used to obtain high signal-to-noise ratio processed profiles,which presented abundant wave group information,obvious characteristics,clear contact relationship and good continuity derived from the dataset,reveal-ing a clear and continuous Quaternary bottom interface.Based on the characteristics of the wave group and the data of the survey area,the internal structure of the Quaternary system and the following strata were divided,the distri-bution of known and hidden faults in the range of the survey line was identified,the fault characteristics and buried depth were analyzed,and the relevant technical problems in practical work were discussed.The results of this artifi-cial reflection seismic detection work show that the seismic method and data processing technology described in this paper are effective and reliable in urban active fault detection,and can effectively identify the plane position and spatial distribution of active faults in hidden areas.关键词
关中盆地/活动断层/可控震源/城市地震勘探/反射波Key words
Guanzhong Basin/active fault/vibroseis/urban seismic exploration/reflected wave分类
天文与地球科学引用本文复制引用
李广才,荣立新,李培,王小江,姜春香,王凯..利用反射地震探测关中地区城市活动断层[J].地球与行星物理论评（中英文）,2026,57(3):358-370,13.基金项目
中国地质调查局项目(DD20230298,DD20243070) （DD20230298,DD20243070）
国家重点研发计划资助项目(2024ZD1002305) （2024ZD1002305）
中国地质科学院基本科研业务费项目(AS2020J03)Supported by the China Geological Survey Program(Grant Nos.DD20230298,DD20243070),the National Key R & D Program of China(Grant No.2024ZD1002305),and the National Nonprofit Institute Research Grant of IGGE(Grant No.AS2020J03) （AS2020J03）
