摘要
近年来随着物探技术的飞速发展,涌现出了很多先进的探测技术,虽然这些技术在实际中的应用已取得一些成功案例,但在岩溶区因岩溶的复杂性,利用钻探技术很难查明岩溶的分布情况,目前常用的岩溶探测物探技术有跨孔CT扫描、管波探测等,但两种方法均需要钻探进行辅助,有一定的局限性,瞬变电磁和微动技术解决依赖钻探的情况。笔者依托实际项目对瞬变电磁和微动探测技术在岩溶探测的准确性进行对比,并采用钻探技术对两种方法的探测结果进行验证。通过分析在岩溶区的探测中瞬变电磁与微动探测各有优势,两种方法在岩溶探测中的对比分析吻合度达到80%,微动技术相对于瞬变电磁对于环境的适应能力更强,在岩溶区的应用效果经验证准确度能达到70%~80%,在岩溶探测中采用综合探测方法,结合各方法的优势才能取得更好的结果。
In recent years,with the rapid development of geophysical exploration technology,many advanced detection technologies have emerged.Although these technologies have achieved some successful cases in practical applications,it is difficult to determine the distribution of karst in karst areas using drilling technology due to the complexity of karst.Currently,commonly used karst detection geophysical technologies include cross hole CT scanning,tube wave detection,etc.However,both methods require drilling for assistance and have certain limitations.Transient electromagnetic and micro motion technologies solve the problem of relying on drilling.The author compared the accuracy of transient electromagnetic and micro motion detection technologies in karst detection based on actual projects,and verified the detection results of the two methods using drilling technology.By analyzing the advantages of transient electromagnetic and micro motion detection in karst exploration,the comparative analysis of the two methods in karst exploration reaches 80%.Micro motion technology has a stronger adaptability to the environment compared to transient electromagnetic,and its application effect in karst areas has been verified to have an accuracy of 70%~80%.In karst exploration,a comprehensive detection method is adopted,and the advantages of each method are combined to achieve better results.
作者
侯刘锁
丘建金
贾海鹏
HOU Liusuo;QIU Jianjin;JIA Haipeng(Shenzhen Geotechnical investigation&Surveying Institute Groups Co.,Ltd.Shenzhen 518028,China)
出处
《广东土木与建筑》
2024年第8期39-43,共5页
Guangdong Architecture Civil Engineering
关键词
物探技术
岩溶区
瞬变电磁
微动探测
geophysical prospecting technology
karst areas
transient electromagnetic
fretting detection