Soil piping: networks characterization using ground-penetrating radar

J. Got, P. André, L. Mertens, C. Bielders, S. Lambot
{"title":"Soil piping: networks characterization using ground-penetrating radar","authors":"J. Got, P. André, L. Mertens, C. Bielders, S. Lambot","doi":"10.1109/ICGPR.2014.6970403","DOIUrl":null,"url":null,"abstract":"Soil piping remains a relatively unexplored phenomenon despite its substantial impacts on watershed-scale water and sediments transfer in numerous locations around the world. One of the main limits regarding the study of this singular process is characterization of the pipe networks (defining number, position, dimension and connectivity of pipes). In this context, non-invasive sub-surface imaging using ground-penetrating radar (GPR) seems a promising technique. An exploratory methodology was developed to assess the ability of GPR to characterize pipe networks in Loess-derived soil. This methodology relies on (1) high spatial resolution scanning and (2) detection of electromagnetic sub-surface indicators of soil pipe (reflection hyperbolas and strongest reflections). For a 50 m × 50 m scanned zone, results show that combining these indicators can provide interesting clues about a potential pipe network. Three probably interconnected pipes were revealed. However, results show that the proposed methodology needs specific improvements in signal processing, object detection and system configuration in order to enhance and facilitate subsurface networks characterization.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Conference on Ground Penetrating Radar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2014.6970403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Soil piping remains a relatively unexplored phenomenon despite its substantial impacts on watershed-scale water and sediments transfer in numerous locations around the world. One of the main limits regarding the study of this singular process is characterization of the pipe networks (defining number, position, dimension and connectivity of pipes). In this context, non-invasive sub-surface imaging using ground-penetrating radar (GPR) seems a promising technique. An exploratory methodology was developed to assess the ability of GPR to characterize pipe networks in Loess-derived soil. This methodology relies on (1) high spatial resolution scanning and (2) detection of electromagnetic sub-surface indicators of soil pipe (reflection hyperbolas and strongest reflections). For a 50 m × 50 m scanned zone, results show that combining these indicators can provide interesting clues about a potential pipe network. Three probably interconnected pipes were revealed. However, results show that the proposed methodology needs specific improvements in signal processing, object detection and system configuration in order to enhance and facilitate subsurface networks characterization.
土壤管道:利用探地雷达表征网络
尽管土壤管道在世界各地的许多地方对流域尺度的水和沉积物转移产生了重大影响,但它仍然是一个相对未被探索的现象。研究这一奇异过程的主要限制之一是管网的表征(定义管道的数量、位置、尺寸和连通性)。在这种情况下,使用探地雷达(GPR)进行非侵入性地下成像似乎是一种很有前途的技术。开发了一种探索性方法来评估探地雷达在黄土衍生土壤中表征管网的能力。该方法依赖于(1)高空间分辨率扫描和(2)土壤管道地下电磁指标(反射双曲线和最强反射)检测。对于50m × 50m的扫描区域,结果表明,结合这些指标可以提供潜在管网的有趣线索。发现了三条可能相互连接的管道。然而,结果表明,所提出的方法需要在信号处理、目标检测和系统配置方面进行具体改进,以增强和促进地下网络的表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信