Ground Penetrating Radar for Detecting Underground Pipe Buried in Different Type Materials

Jalil, Muhammad Iqram Abd; Sahriman, Noorita; Ghazali, Rosmadi; Iberahim, Muhammad Azwan Shah; Rasam, Abdul Rauf Abdul; Razali, Mohamad Hezri

doi:10.1109/icsgrc.2019.8837098

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…As can be seen in these figures, the identified anomaly looks like a parabolic shape (indicated by red parabolic line). This shape appears the same in several other GPR studies used to identify underground pipelines [1,4,12,13]. Aside from that, we can observe that the anomaly of each line has a similar location of its horizontal distance.…”

Section: Discussionsupporting

confidence: 80%

Application of ground-penetrating radar method to detect underground pipes in PAIR BATAN utility area

Amelia

Bagaskara

Santoso

et al. 2022

J. Phys.: Conf. Ser.

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Underground pipeline systems dominate today’s urban area landscape. This buried pipeline system will continuously develop along with the utility change. The planning for underground pipelines should be done to avoid mistakes in the pipeline path. Thus, mapping for the underground pipeline is necessary to obtain a database for any upcoming construction development. This research purpose is to detect underground pipelines around utility areas using the ground-penetrating radar (GPR) method. A frequency of 300 MHz was used to acquire GPR data from 6 lines, with a total length of 22.6m for each line and 0.5m for the line spacing. A sequence of processing stages of the GPR data was conducted using matGPR, a MATLAB-based program. Interpretable GPR profiles from each measurement line are obtained after adjusting signal position, removing DC, Dewow, mean filter, gaining, removing global background, and KL-filter. The results show an obvious amplitude reflection anomaly. Each line has similar detected underground pipes from its vertical axis, travel time, and horizontal distance. Clearly, all lines show an obvious contrast anomaly located at the 2.5 m horizontal distance. This most striking anomaly is interpreted as a water tunnel. In comparison, the other five parabolic-shaped anomalies were identified as underground pipes.

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Section: Discussionsupporting

confidence: 80%

Application of ground-penetrating radar method to detect underground pipes in PAIR BATAN utility area

Amelia

Bagaskara

Santoso

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

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“…The capability of the GPR system in detecting underground objects depends on the EM wave signals [9], [10]. If there is any object underground, these EM waves will be reflected and scattered, and if there is no object underground, the EM waves will be refracted into the ground.…”

Section: Introductionmentioning

confidence: 99%

[Copyright notice]

2020

2020 IEEE Student Conference on Research and Development (SCOReD)

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One of the equipment that can be used in detecting underground objects is the GPR system. This equipment uses an electromagnetic wave reflection technique produced by its antenna. However, the clarity of the GPR radargram image produced by the system is said to depend on the operating frequency of the system. In order to study the effect of the operating frequency on the GPR radargram, this study developed simulations of the GPR system using three operating frequencies to detect the existence of an underground object, which was divided into a big-sized object and a small-size object. The selected operating frequencies were 0 0.13 GHz, 0 0.5 GHz and 0 1 GHz. The underground object depth was set at 2 cm, 5 cm, 7 cm, 20 cm and 30 cm from the ground surface. In the simulations, only the big underground object was detected, except when the object was set on the surface of the ground. Based on the GPR system simulation of underground object detection at 7cm, all the GPR systems developed were able to detect the big underground object, while the GPR system could not discover any small underground object. The GPR radargram produced by the system is able to show the location of the object in the image clearly.

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