Shi-Jin Feng , Wen-Da Wang , Xiao-Lei Zhang , Hang Chen , Qi-Teng Zheng , Yong Zhao
{"title":"基于多源地球物理数据分析的大口径输水管道泄漏检测与定位","authors":"Shi-Jin Feng , Wen-Da Wang , Xiao-Lei Zhang , Hang Chen , Qi-Teng Zheng , Yong Zhao","doi":"10.1016/j.enggeo.2025.108218","DOIUrl":null,"url":null,"abstract":"<div><div>Pipeline leakage in subterranean water supply systems threatens structural integrity and public safety. Locating leaks in medium and large-diameter pipelines is challenging due to their underground concealment. This paper presents a series of geophysical tests on main water supply pipelines, exploring suitable leakage detection methods, including Frequency Electromagnetic Method (FEM), Ground Penetrating Radar (GPR), and Electrical Resistivity Tomography (ERT). The accuracy, range, and efficiency of these methods were compared, and a composite verification was performed to propose an integrated detection approach. Two suspected leakage sections were selected for comprehensive testing, with multi-source geophysical data collected. Results show that the FEM can effectively detect and locate the approximate orientation of anomalies. The GPR method precisely identifies pipeline location, depth, and voids or water-rich areas. ERT provides a finer distribution of anomalies, corroborating FEM and GPR findings. Finally, the detection results were verified by drilling sampling. Based on these findings, a pipeline leakage risk coefficient <em>K</em> was defined to classify and evaluate rapid detection anomalies. The calculations confirm that both resurvey areas fall within the high-risk leakage range, demonstrating the method's high accuracy. This integrated approach provides an effective, reliable method for detecting leaks in large-diam pipelines.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"355 ","pages":"Article 108218"},"PeriodicalIF":8.4000,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leakage detection and localization of large diam water pipeline based on multi-source geophysical data analysis\",\"authors\":\"Shi-Jin Feng , Wen-Da Wang , Xiao-Lei Zhang , Hang Chen , Qi-Teng Zheng , Yong Zhao\",\"doi\":\"10.1016/j.enggeo.2025.108218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Pipeline leakage in subterranean water supply systems threatens structural integrity and public safety. Locating leaks in medium and large-diameter pipelines is challenging due to their underground concealment. This paper presents a series of geophysical tests on main water supply pipelines, exploring suitable leakage detection methods, including Frequency Electromagnetic Method (FEM), Ground Penetrating Radar (GPR), and Electrical Resistivity Tomography (ERT). The accuracy, range, and efficiency of these methods were compared, and a composite verification was performed to propose an integrated detection approach. Two suspected leakage sections were selected for comprehensive testing, with multi-source geophysical data collected. Results show that the FEM can effectively detect and locate the approximate orientation of anomalies. The GPR method precisely identifies pipeline location, depth, and voids or water-rich areas. ERT provides a finer distribution of anomalies, corroborating FEM and GPR findings. Finally, the detection results were verified by drilling sampling. Based on these findings, a pipeline leakage risk coefficient <em>K</em> was defined to classify and evaluate rapid detection anomalies. The calculations confirm that both resurvey areas fall within the high-risk leakage range, demonstrating the method's high accuracy. This integrated approach provides an effective, reliable method for detecting leaks in large-diam pipelines.</div></div>\",\"PeriodicalId\":11567,\"journal\":{\"name\":\"Engineering Geology\",\"volume\":\"355 \",\"pages\":\"Article 108218\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Geology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S001379522500314X\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Geology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S001379522500314X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
Leakage detection and localization of large diam water pipeline based on multi-source geophysical data analysis
Pipeline leakage in subterranean water supply systems threatens structural integrity and public safety. Locating leaks in medium and large-diameter pipelines is challenging due to their underground concealment. This paper presents a series of geophysical tests on main water supply pipelines, exploring suitable leakage detection methods, including Frequency Electromagnetic Method (FEM), Ground Penetrating Radar (GPR), and Electrical Resistivity Tomography (ERT). The accuracy, range, and efficiency of these methods were compared, and a composite verification was performed to propose an integrated detection approach. Two suspected leakage sections were selected for comprehensive testing, with multi-source geophysical data collected. Results show that the FEM can effectively detect and locate the approximate orientation of anomalies. The GPR method precisely identifies pipeline location, depth, and voids or water-rich areas. ERT provides a finer distribution of anomalies, corroborating FEM and GPR findings. Finally, the detection results were verified by drilling sampling. Based on these findings, a pipeline leakage risk coefficient K was defined to classify and evaluate rapid detection anomalies. The calculations confirm that both resurvey areas fall within the high-risk leakage range, demonstrating the method's high accuracy. This integrated approach provides an effective, reliable method for detecting leaks in large-diam pipelines.
期刊介绍:
Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.