title: A case study to detect the leakage of underground pressureless cement sewage water pipe using GPR, electrical, and chemical data.
abstract: The exploration and determination of leakage of underground pressureless nonmetallic pipes is difficult to deal with. A comprehensive method combining Ground Penetrating Rader (GPR), electric potential survey and geochemical survey is introduced in the leakage detection of an underground pressureless nonmetallic sewage pipe in this paper. Theoretically, in the influencing scope of a leakage spot, the obvious changes of the electromagnetic properties and the physical-chemical properties of the underground media will be reflected as anomalies in GPR and electrical survey plots. The advantages of GPR and electrical survey are fast and accurate in detection of anomaly scope. In-situ analysis of the geophysical surveys can guide the geochemical survey. Then water and soil sampling and analyzing can be the evidence for judging the anomaly is caused by pipe leakage or not. On the basis of previous tests and practical surveys, the GPR waveforms, electric potential curves, contour maps, and chemical survey results are all classified into three types according to the extent or indexes of anomalies in orderto find out the leakage spots. When three survey methods all show their anomalies as type I in an anomalous spot, this spot is suspected as the most possible leakage location. Otherwise, it will be down grade suspected point. The suspect leakage spots should be confirmed by referring the site conditions because some anomalies are caused other factors. The excavation afterward proved that the method for determining the suspected location by anomaly type is effective and economic. Comprehensive method of GRP, electric potential survey, and geochemical survey is one of the effective methods in the leakage detection of underground nonmetallic pressureless pipe with its advantages of being fast and accurate.
authors.affiliation: Department of Environmental Engineering, College of Geoscience, Ocean University of Qingdao, Shandong, PR China. envcon@mail.ouqd.edu.cn
authors.forename: Guanqun
authors.initials: G
authors.lastname: Liu
authors.forename: Yonggang
authors.initials: Y
authors.lastname: Jia
authors.forename: Hongjun
authors.initials: H
authors.lastname: Liu
authors.forename: Hanxue
authors.initials: H
authors.lastname: Qiu
authors.forename: Dongling
authors.initials: D
authors.lastname: Qiu
authors.forename: Hongxian
authors.initials: H
authors.lastname: Shan
mesh_terms: D003625:Data Collection; D004560:Electricity; D004784:Environmental Monitoring / Q000379:methods*; D004868:Equipment Failure; D011825:Radar; D012037:Refuse Disposal / Q000379:methods*; D015203:Reproducibility of Results; D012722:Sewage; D012989:Soil Pollutants / Q000032:analysis*
chemical_list: D012722:Sewage; D012989:Soil Pollutants