SlideShare a Scribd company logo
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET ISO 9001:2008 Certified Journal Page 48
APPLICATION OF GROUND PENETRATING RADAR (GPR) IN DETECTING
TARGET OF INTEREST
Muhamad Afiq Saharudin 1, M.M. Nordiana2, A.N. Nordiana 1, Umi Maslinda 1
1 Geophysics Postgraduate Student, Geophysics Section, School of Physics, 11800 Universiti Sains Malaysia, Penang,
Malaysia.
2 Geophysics Lecturer, Geophysics Section, School of Physics, 11800 Universiti Sains Malaysia, Penang, Malaysia.
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract – The research was conducted using Ground
Penetrating Radar (GPR) in detecting the target of
interest. The study sites with its respective targets are
at the School of Language, Literacies, and Translation
(SoLLAT) which the known target is the suspected
cavity, the Convocation site which the known target is
drainage, Desasiswa Bakti Permai which the known
target is bunker and the School of Physics which the
known target is pipe. The importance of this research is
about travel time of electromagnetic (EM) wave velocity
applied in medium while processing GPR data towards
depth calculation. The graph of Amplitude vs time and
Amplitude vs Depth are plotted. The depth also
obtained from the equation. Both depth obtained from
graph and equation are compared and their depth
almost the same. The equation can be used to verify the
depth of the target and different medium by using the
information obtained from graph Amplitude vs Depth
and Time.
Key Words: Ground penetrating radar (GPR), target,
travel time, depth
1. INTRODUCTION
Universiti Sains Malaysia is largely consists of igneous
rocks where mostly is granite. However, certain area in
this campus are still well preserved and been used until
today. Thus, Geophysics plays an important role in a
process to identify the evidences of different targets at
different places around the campus area. The ground
penetrating radar geophysical method is a rapid, high-
resolution tool for non-invasive investigation. Ground
penetrating radar records microwave radiation that
passes through the ground and is returned to the surface
[1]. Ground Penetrating Radar (GPR) is a non-destructive
ground survey method that can be used in assessing roads,
railways, bridges, airports, tunnels and environmental
objects. Its main advantage is the continuous profile it
provides over the road structure and subgrade soil [2].
The GPR method has many applications in a number of
fields. It provides accurate depth information of suspected
target through visualization. The depth information is
important to correlates the location of buried structure,
which can be beneficial to the engineer and contractor to
locate the utility location or specific area, before they
conduct any projects. In GPR, the radar methods use the
reflections of short bursts of electromagnetic energy with
a range of frequencies being transmitted into the ground
and register the reflected pulses as functions of time and
the position of the antenna pair along a survey line. Dry
soils are favorable for the GPR application, since higher
radio-frequencies can be used for a given depth of
investigation, which implies a better resolution of the
buried structures [3]. The antenna consists of many
frequencies that can be used such as 500 MHz, 250 MHz,
100 MHz antennas. Frequency, record length and sampling
frequency can all be varied to some extent in most GPR
studies. Frequency is the most important parameter, since
it constrains the values of many other parameters because
to obtain a desired spatial resolution depends on the
suitable frequency that being used in the studies. Radar
signals are recorded digitally and must be sampled
sufficiently often to ensure that waveforms are fully
defined. Ground penetrating radar can be collected fairly
rapidly, and initial interpretations can be made with
minimal data processing, making the use of ground
penetrating radar for shallow geophysical investigation
quite cost-effective [1].
2. THEORY OF GROUND PENETRATING RADAR
Radar methods use the reflections of short bursts of
electromagnetic energy with a range of frequencies being
transmitted into the ground and register the reflected
pulses as functions of time and the position of the antenna
pair along a survey line (Figure 1). These data are
processed and visualized through different methods, and
the signals produced by the investigated targets
recognized. The radar frequencies of from one to several
thousand MHz were originally thought to be too high for
useful ground penetration, and ground penetrating radar
(GPR) is a relatively new geophysical tool. Historically, the
development of GPR derives from the use of radio echo
sounding to determine any certain targets at the
subsurface area [4]. Dry soils are favorable for the GPR
application, since higher radio-frequencies can be used for
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET ISO 9001:2008 Certified Journal Page 49
a given depth of investigation, which implies a better
resolution of the buried structures [3]. It was soon
realized that some penetration was being achieved into
the deeper depth of investigation, although unlikely to
ever amount to more than a few tens of meters, could be
increased by processing techniques virtually identical to
those applied to seismic reflection data. GPR is now widely
used to study about the shallow subsurface at landfill,
construction, archaeological sites and many other survey
sites.
Fig -1: Simplified schematic of ground penetrating radar.
The time that GPR measure is two-way travel time in
nanosecond (ns) pulse can converted into thickness or
depth information with knowledge of the velocity of
propagation in the subsurface layer, as expressed in the
formula:
(1)
where;
d= depth
v=velocity
t=two-way travel time
Table 1 below is the velocity of material through different
medium for dry sand, wet clay, averaged soil and concrete.
The velocity was used to calculate the depth.
Table -1: The velocity of material through different
medium [5].
Material Velocity (mm/ns)
Sand (dry) 120-170
Clay (wet) 86-110
Average soil 75
Concrete 55-112
3. STUDY AREA
The study was carried out at Universiti Sains Malaysia
(USM), Penang, Malaysia. The study area covered at
different locations as shown in Figure 2. The first location
was at School of Languages, Literacies and Translation (A),
from N 5°21’23.24, E 100°18’25.72 to N 5°21’23.24, E
100°18’26.20 second location was at the convocational
site (B) from N 5°21’22.9, E 100°18’08.9, to N 5°21’23.0, E
100°18’09.6, third location was at Bakti Desasiswa hostel
(C) from N 5°21’21.8, E 100°18’00.5 to N 5°21’22.8, E
100°18’00.9 and the last location was at the School of
Physics (D). Figure 3 and 4 show the areas of the study
location.
Fig -2: Survey area of GPR in USM, Penang, Malaysia [6].
Fig -3: Survey area at Location A and B.
Fig -4: Survey area at Location C and D.
C
D
AB
A B
C D
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET ISO 9001:2008 Certified Journal Page 50
4. METHODOLOGY
Ground Penetrating Radar (GPR) survey is based on
measuring the electromagnetic pulses that being
transmitted into the ground and then being collected by
the receiver. Both of the transmitter and receiver are
being placed in the antenna. The antenna frequency used
during this study is 250 MHz antenna. The survey line at
Location A, B and C are 30 meters length while at Location
D is 12 meters length. GPR data are recorded digitally and
need extensive processing using the filters. First step in
GPR processing was filter the raw data for instrument
noise or any irregularities in the data such as DC Removal,
Time Varying Gain, and Band Pass in the GroundVision
software. The data were exported into an ASCII file. Then
the ASCII file is opened in Microsoft Excel, the amplitudes
were chosen to produce the graphs. The graphs that
produces are Amplitude vs Time and Amplitude vs Depth.
The depth was calculated by using Equation 1 where the
velocity was taken from Table 1 and time was taken from
the graph Amplitude vs Time. The depth was obtained
from the equation and being compared with the depth in
the graph Amplitude vs Depth.
5. RESULTS AND DISCUSSION
The data at Location A shows the hyperbolic curve which
indicated as the target of suspected cavity (Figure 5). From
Figure 5 the suspected cavity was located at depth about
1.51 meters. The Figure 6 shows the graph of Amplitude vs
Depth. The graph shows the highest amplitude at
0.681792 meter depth where the medium is wet clay. The
water moisture slows down the radar wave speed and it
attenuates the energy [4]. Then the wave reaches another
medium (air) or suspected cavity at 1.1 meter depth. The
depth of the air medium is almost the same as in Figure 5
and Figure 7 shows the layer of the medium at Location A.
Fig -5: Data at Location A with target of suspected cavity.
Fig -6: The graphs of Amplitude vs Depth at Location A
(suspected cavity).
Fig -7: A photo of cavity located at Location A.
Figure 8 shows the hyperbolic curve for the target of
drainage at Location B with depth of about 2.0 meters and
the travel time is 27 ns. The graph in Figure 9 shows the
highest amplitude at 1.008 meter depth where the wave
reaches medium of dry sand. The penetration of the
electromagnetic (EM) wave was deeper than wave
penetration at Location A, this is due to the most of top of
the drainage was covered with sand. Sand has high
porosity that allows the wave to penetrate deeper. The
wave propagates properly and will distribute in dry sand
area. Dry sand is considered as good medium for wave
propagation. The depth of second positive amplitude is
almost the same depth as in Figure 8 which indicates as
drainage. The wave reached the concrete (drainage) and
started to lose its energy when it reaches the air. Figure 10
shows the layer of the medium at Location B.
Fig -8: Data at Location B with target of drainage.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET ISO 9001:2008 Certified Journal Page 51
Fig -9: The graphs of Amplitude vs Depth at Location B.
Fig -10: Illustration of underground drainage with
different medium at Location B.
The data at location C which is the bunker at Desasiswa
Bakti Permai shows a hyperbolic curve that indicates the
suspected target at 0.87 meters depth (Figure 11). Figure
12 shows the first positive amplitude at 0.51 meters depth
which indicates as soil and the second positive amplitude
at 0.755 meters depth indicate as concrete (bunker). The
amplitude range is less compare with Location B because
the penetration of the wave is less. It is because of the
target area largely consists of thicker concrete compare
with Location B and mostly the top of bunker is covered by
soil. Soil cause the wave cannot penetrate further. The
layer of the medium at this location consists of soil,
concrete and air (Figure 13).
Fig -11: Data at Location C with target of a bunker.
Fig -12: The graphs of Amplitude vs Depth at Location C.
Fig -13: The different medium at Location C.
The result at location D which is at School of Physics
shows a hyperbolic curve that indicates the suspected
target at 0.83 meters depth (Figure 14). The graph in
Figure 15 shows the penetration of the wave is similar
with Location C but with less amplitude height. It is
because that area largely covered by concrete which will
cause the wave travel with less velocity. The pipe also has
a lower reflection percentage compare to the metal
material or different medium. The first positive amplitude
at 0.62 meters indicates as concrete (cement) and second
positive amplitude indicate as another medium (pipe) at
0.805 meters depth. The depth of pipe in the graph (Figure
15) is close with depth in Figure 14. Figure 16 shows the
layer of different medium at Location D.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET ISO 9001:2008 Certified Journal Page 52
Fig -14: Data at Location D with target of pipe.
Fig -15: The graphs of Amplitude vs Depth at Location D.
Fig -16: The different medium at Location D.
Fig -17: Graph Amplitude vs Time on different targets.
The travel time for Location A, B and C are about the same
but the travel time for Location D is much longer. This is
because the medium before the target of pipe at Location
D is made of concrete which has lower penetration for
electromagnetic (EM) wave. The concrete also one of the
energy absorbing materials which will cause the EM wave
dissipates or attenuates. Travel time for Location A is the
shortest compared to the other locations due to the EM
wave travel only through two different medium which are
clay and air. The difference of travel time between
Location B and C is because of the thickness of the
concrete. The concrete for Location C is thicker than the
concrete at Location B.
The estimation of the suspected targets at all
locations can be proved by using equation 1. Based on
graph Amplitude vs Depth (Figure 6) at Location A, the
estimated depth is about 1.08 meters. The depth was
verified using equation 1 with time 22.03 ns obtained from
Figure 17 and velocity of the medium (wet clay) is 100
mm/ns for Location A, and the result is 1.10 meters.
For Location B, the estimated depth (Figure 9) is
about 1.70 meter. The depth was verified with time 22.03
ns and velocity of the medium (sand) is 150 mm/ns and
the result is 1.65 meters.
At Location C, the estimated depth (Figure 12) is
about 0.67 meters. The depth was verified with time 19.58
ns and velocity of the medium (Average soil) is 75 mm/ns
and the result is 0.73 meters.
Lastly at Location D, the estimated depth (Figure
15) is about 0.79 meters. The depth was verified with time
20.25 ns and the velocity of the medium (concrete) is 80
mm/ns and the result is 0.81 meters.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET ISO 9001:2008 Certified Journal Page 53
6. CONCLUSIONS
The Ground Penetrating Radar (GPR) is a very effective
method for shallow subsurface investigation for different
target of interest even in different medium. The equation 1
can be used to verify the depth by using the information
obtained from graph Amplitude vs Depth and Time. The
depth that obtained using the equation almost similar to
the depth that obtained from graph Amplitude vs Depth
and from the estimated depth in the raw data after
filtered.
ACKNOWLEDGEMENT
The authors thanked all the technical staffs of the
Geophysics laboratory, postgraduate students and final
year students, School of Physics, Universiti Sains Malaysia
for their assistance during the data acquisition.
REFERENCES
[1] Steve, C. (2002), Subsurface Investigation Using
Ground Penetrating Radar. Department of Geology
and Geophysics, University of Missouri-Rolla, Rolla,
MO.
[2] Timo, S. and Pekka, M. (2011), The Use of GPR in Road
Rehabilitation Projects. Roadscanners Oy, Finland.
[3] María, V.B., Matías, D.L.V. and Néstor, B. (2011),
Contribution of the resistivity method to characterize
mud walls in very dry region and comparison with
GPR. Journal of Archaeological Science.
[4] Milsom, J. (2003), Field geophysics: The geological
field guide series, Third Edition, pg 167-175.
[5] Davis, J.L. and Annan, A.P. (1989), Ground
Penetrating Radar for High-Resolution Mapping of
Soil and Rock Stratigraphy, Volume 37, Issue 5 pages
531-551.
[6] Google earth, 2015.
[7] Reynolds, J.M. (1997), An Introduction to Applied and
Environmental Geophysics. John Wiley and Sons, Ltd.,
New York.

More Related Content

PPTX
Electrical well logging
PDF
Geophysical survey
PPT
6 site investigation
PDF
A Brief Overview of Ground-penetrating radar
PPTX
factors affecting selection of type of dam
PPT
Well logging, petroleum engineer...
PPT
Well logging
PPTX
Determination of mechanical properties of soil by Vane Shear Test, Direct sh...
Electrical well logging
Geophysical survey
6 site investigation
A Brief Overview of Ground-penetrating radar
factors affecting selection of type of dam
Well logging, petroleum engineer...
Well logging
Determination of mechanical properties of soil by Vane Shear Test, Direct sh...

What's hot (20)

PPT
Lecture_9_Well Logging.ppt
PDF
Minex 2 d_3d_models
PDF
Petrophysics 14 resistivity logs
PDF
Geophysical well logging
PPSX
Geotechnical Engineering-I [Lec #2: Introduction-2]
PPT
Unit 2 - Rock Mass Classification.ppt
DOC
Well logging notes
PPT
Magnetic prospecting
PPTX
Global tectonics
PPTX
Index properties of soil
PPTX
Geophysical methods brief summary
PPTX
Igneous texture final.
PPTX
Soil Exploration
PPTX
Slope stability
PPTX
Induction log
PDF
SPT, SCPT, and DCPT Correlation for SC, CL, and SM-SC Soils: A Case Study of ...
PPTX
Ground Penetrating Radar
PPTX
Slope Failure Mechanism
PDF
Astm d2938 unconfined compressive strength
PPTX
Properties of reservoir rocks
 
Lecture_9_Well Logging.ppt
Minex 2 d_3d_models
Petrophysics 14 resistivity logs
Geophysical well logging
Geotechnical Engineering-I [Lec #2: Introduction-2]
Unit 2 - Rock Mass Classification.ppt
Well logging notes
Magnetic prospecting
Global tectonics
Index properties of soil
Geophysical methods brief summary
Igneous texture final.
Soil Exploration
Slope stability
Induction log
SPT, SCPT, and DCPT Correlation for SC, CL, and SM-SC Soils: A Case Study of ...
Ground Penetrating Radar
Slope Failure Mechanism
Astm d2938 unconfined compressive strength
Properties of reservoir rocks
 
Ad

Similar to Application of Ground Penetrating Radar (GPR) In Detecting Target of Interest (20)

PPTX
Ground Penetrating Radar (GPR)
PPTX
ground penetrating radar
PDF
PPTX
Gpr seminar by emmaual
PDF
The Analysis of EM Wave for Different Media by GPR Technique
PPTX
Introduction-to-Ground-Penetrating-Radar-GPR.pptx
PDF
Ground Penetrating Radar Scanning Unveiling The Secrets Below the Surface
 
PPTX
Ground penetrating radar (nio)
PDF
Ground Penetrating Radar For Archaeology Lawrence B Conyers
PPT
Ground Penetrating Radar : Basic and Applications for Civil Engineering
PDF
Fr2410361039
PDF
Ground Penetrating Radar Scanning Revolutionizing Subsurface Exploration
 
PDF
Gpr application
PDF
Deep Penetration Radar: Hydrogeology and Paleorelief of Underlying Medium
PDF
Ground Penetrating Radar Scanning Unveiling the Hidden Depths
 
PDF
Ground Penetrating Radar Survey
PDF
Ground Penetrating Radar Survey
PDF
Ground Penetrating Radar Scanning Revealing the Hidden Depths
 
Ground Penetrating Radar (GPR)
ground penetrating radar
Gpr seminar by emmaual
The Analysis of EM Wave for Different Media by GPR Technique
Introduction-to-Ground-Penetrating-Radar-GPR.pptx
Ground Penetrating Radar Scanning Unveiling The Secrets Below the Surface
 
Ground penetrating radar (nio)
Ground Penetrating Radar For Archaeology Lawrence B Conyers
Ground Penetrating Radar : Basic and Applications for Civil Engineering
Fr2410361039
Ground Penetrating Radar Scanning Revolutionizing Subsurface Exploration
 
Gpr application
Deep Penetration Radar: Hydrogeology and Paleorelief of Underlying Medium
Ground Penetrating Radar Scanning Unveiling the Hidden Depths
 
Ground Penetrating Radar Survey
Ground Penetrating Radar Survey
Ground Penetrating Radar Scanning Revealing the Hidden Depths
 
Ad

More from IRJET Journal (20)

PDF
Enhanced heart disease prediction using SKNDGR ensemble Machine Learning Model
PDF
Utilizing Biomedical Waste for Sustainable Brick Manufacturing: A Novel Appro...
PDF
Kiona – A Smart Society Automation Project
PDF
DESIGN AND DEVELOPMENT OF BATTERY THERMAL MANAGEMENT SYSTEM USING PHASE CHANG...
PDF
Invest in Innovation: Empowering Ideas through Blockchain Based Crowdfunding
PDF
SPACE WATCH YOUR REAL-TIME SPACE INFORMATION HUB
PDF
A Review on Influence of Fluid Viscous Damper on The Behaviour of Multi-store...
PDF
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
PDF
Explainable AI(XAI) using LIME and Disease Detection in Mango Leaf by Transfe...
PDF
BRAIN TUMOUR DETECTION AND CLASSIFICATION
PDF
The Project Manager as an ambassador of the contract. The case of NEC4 ECC co...
PDF
"Enhanced Heat Transfer Performance in Shell and Tube Heat Exchangers: A CFD ...
PDF
Advancements in CFD Analysis of Shell and Tube Heat Exchangers with Nanofluid...
PDF
Breast Cancer Detection using Computer Vision
PDF
Auto-Charging E-Vehicle with its battery Management.
PDF
Analysis of high energy charge particle in the Heliosphere
PDF
A Novel System for Recommending Agricultural Crops Using Machine Learning App...
PDF
Auto-Charging E-Vehicle with its battery Management.
PDF
Analysis of high energy charge particle in the Heliosphere
PDF
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
Enhanced heart disease prediction using SKNDGR ensemble Machine Learning Model
Utilizing Biomedical Waste for Sustainable Brick Manufacturing: A Novel Appro...
Kiona – A Smart Society Automation Project
DESIGN AND DEVELOPMENT OF BATTERY THERMAL MANAGEMENT SYSTEM USING PHASE CHANG...
Invest in Innovation: Empowering Ideas through Blockchain Based Crowdfunding
SPACE WATCH YOUR REAL-TIME SPACE INFORMATION HUB
A Review on Influence of Fluid Viscous Damper on The Behaviour of Multi-store...
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
Explainable AI(XAI) using LIME and Disease Detection in Mango Leaf by Transfe...
BRAIN TUMOUR DETECTION AND CLASSIFICATION
The Project Manager as an ambassador of the contract. The case of NEC4 ECC co...
"Enhanced Heat Transfer Performance in Shell and Tube Heat Exchangers: A CFD ...
Advancements in CFD Analysis of Shell and Tube Heat Exchangers with Nanofluid...
Breast Cancer Detection using Computer Vision
Auto-Charging E-Vehicle with its battery Management.
Analysis of high energy charge particle in the Heliosphere
A Novel System for Recommending Agricultural Crops Using Machine Learning App...
Auto-Charging E-Vehicle with its battery Management.
Analysis of high energy charge particle in the Heliosphere
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...

Recently uploaded (20)

PPTX
Internet of Things (IOT) - A guide to understanding
PDF
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
PDF
TFEC-4-2020-Design-Guide-for-Timber-Roof-Trusses.pdf
PPTX
Sustainable Sites - Green Building Construction
PDF
Automation-in-Manufacturing-Chapter-Introduction.pdf
PPTX
KTU 2019 -S7-MCN 401 MODULE 2-VINAY.pptx
PDF
Model Code of Practice - Construction Work - 21102022 .pdf
PPTX
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
PPTX
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
PPTX
CH1 Production IntroductoryConcepts.pptx
PDF
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
PDF
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
PDF
PRIZ Academy - 9 Windows Thinking Where to Invest Today to Win Tomorrow.pdf
PPTX
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
PPTX
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx
PPTX
Construction Project Organization Group 2.pptx
DOCX
573137875-Attendance-Management-System-original
PPTX
Welding lecture in detail for understanding
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
DOCX
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
Internet of Things (IOT) - A guide to understanding
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
TFEC-4-2020-Design-Guide-for-Timber-Roof-Trusses.pdf
Sustainable Sites - Green Building Construction
Automation-in-Manufacturing-Chapter-Introduction.pdf
KTU 2019 -S7-MCN 401 MODULE 2-VINAY.pptx
Model Code of Practice - Construction Work - 21102022 .pdf
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
CH1 Production IntroductoryConcepts.pptx
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
PRIZ Academy - 9 Windows Thinking Where to Invest Today to Win Tomorrow.pdf
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx
Construction Project Organization Group 2.pptx
573137875-Attendance-Management-System-original
Welding lecture in detail for understanding
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx

Application of Ground Penetrating Radar (GPR) In Detecting Target of Interest

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET ISO 9001:2008 Certified Journal Page 48 APPLICATION OF GROUND PENETRATING RADAR (GPR) IN DETECTING TARGET OF INTEREST Muhamad Afiq Saharudin 1, M.M. Nordiana2, A.N. Nordiana 1, Umi Maslinda 1 1 Geophysics Postgraduate Student, Geophysics Section, School of Physics, 11800 Universiti Sains Malaysia, Penang, Malaysia. 2 Geophysics Lecturer, Geophysics Section, School of Physics, 11800 Universiti Sains Malaysia, Penang, Malaysia. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – The research was conducted using Ground Penetrating Radar (GPR) in detecting the target of interest. The study sites with its respective targets are at the School of Language, Literacies, and Translation (SoLLAT) which the known target is the suspected cavity, the Convocation site which the known target is drainage, Desasiswa Bakti Permai which the known target is bunker and the School of Physics which the known target is pipe. The importance of this research is about travel time of electromagnetic (EM) wave velocity applied in medium while processing GPR data towards depth calculation. The graph of Amplitude vs time and Amplitude vs Depth are plotted. The depth also obtained from the equation. Both depth obtained from graph and equation are compared and their depth almost the same. The equation can be used to verify the depth of the target and different medium by using the information obtained from graph Amplitude vs Depth and Time. Key Words: Ground penetrating radar (GPR), target, travel time, depth 1. INTRODUCTION Universiti Sains Malaysia is largely consists of igneous rocks where mostly is granite. However, certain area in this campus are still well preserved and been used until today. Thus, Geophysics plays an important role in a process to identify the evidences of different targets at different places around the campus area. The ground penetrating radar geophysical method is a rapid, high- resolution tool for non-invasive investigation. Ground penetrating radar records microwave radiation that passes through the ground and is returned to the surface [1]. Ground Penetrating Radar (GPR) is a non-destructive ground survey method that can be used in assessing roads, railways, bridges, airports, tunnels and environmental objects. Its main advantage is the continuous profile it provides over the road structure and subgrade soil [2]. The GPR method has many applications in a number of fields. It provides accurate depth information of suspected target through visualization. The depth information is important to correlates the location of buried structure, which can be beneficial to the engineer and contractor to locate the utility location or specific area, before they conduct any projects. In GPR, the radar methods use the reflections of short bursts of electromagnetic energy with a range of frequencies being transmitted into the ground and register the reflected pulses as functions of time and the position of the antenna pair along a survey line. Dry soils are favorable for the GPR application, since higher radio-frequencies can be used for a given depth of investigation, which implies a better resolution of the buried structures [3]. The antenna consists of many frequencies that can be used such as 500 MHz, 250 MHz, 100 MHz antennas. Frequency, record length and sampling frequency can all be varied to some extent in most GPR studies. Frequency is the most important parameter, since it constrains the values of many other parameters because to obtain a desired spatial resolution depends on the suitable frequency that being used in the studies. Radar signals are recorded digitally and must be sampled sufficiently often to ensure that waveforms are fully defined. Ground penetrating radar can be collected fairly rapidly, and initial interpretations can be made with minimal data processing, making the use of ground penetrating radar for shallow geophysical investigation quite cost-effective [1]. 2. THEORY OF GROUND PENETRATING RADAR Radar methods use the reflections of short bursts of electromagnetic energy with a range of frequencies being transmitted into the ground and register the reflected pulses as functions of time and the position of the antenna pair along a survey line (Figure 1). These data are processed and visualized through different methods, and the signals produced by the investigated targets recognized. The radar frequencies of from one to several thousand MHz were originally thought to be too high for useful ground penetration, and ground penetrating radar (GPR) is a relatively new geophysical tool. Historically, the development of GPR derives from the use of radio echo sounding to determine any certain targets at the subsurface area [4]. Dry soils are favorable for the GPR application, since higher radio-frequencies can be used for
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET ISO 9001:2008 Certified Journal Page 49 a given depth of investigation, which implies a better resolution of the buried structures [3]. It was soon realized that some penetration was being achieved into the deeper depth of investigation, although unlikely to ever amount to more than a few tens of meters, could be increased by processing techniques virtually identical to those applied to seismic reflection data. GPR is now widely used to study about the shallow subsurface at landfill, construction, archaeological sites and many other survey sites. Fig -1: Simplified schematic of ground penetrating radar. The time that GPR measure is two-way travel time in nanosecond (ns) pulse can converted into thickness or depth information with knowledge of the velocity of propagation in the subsurface layer, as expressed in the formula: (1) where; d= depth v=velocity t=two-way travel time Table 1 below is the velocity of material through different medium for dry sand, wet clay, averaged soil and concrete. The velocity was used to calculate the depth. Table -1: The velocity of material through different medium [5]. Material Velocity (mm/ns) Sand (dry) 120-170 Clay (wet) 86-110 Average soil 75 Concrete 55-112 3. STUDY AREA The study was carried out at Universiti Sains Malaysia (USM), Penang, Malaysia. The study area covered at different locations as shown in Figure 2. The first location was at School of Languages, Literacies and Translation (A), from N 5°21’23.24, E 100°18’25.72 to N 5°21’23.24, E 100°18’26.20 second location was at the convocational site (B) from N 5°21’22.9, E 100°18’08.9, to N 5°21’23.0, E 100°18’09.6, third location was at Bakti Desasiswa hostel (C) from N 5°21’21.8, E 100°18’00.5 to N 5°21’22.8, E 100°18’00.9 and the last location was at the School of Physics (D). Figure 3 and 4 show the areas of the study location. Fig -2: Survey area of GPR in USM, Penang, Malaysia [6]. Fig -3: Survey area at Location A and B. Fig -4: Survey area at Location C and D. C D AB A B C D
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET ISO 9001:2008 Certified Journal Page 50 4. METHODOLOGY Ground Penetrating Radar (GPR) survey is based on measuring the electromagnetic pulses that being transmitted into the ground and then being collected by the receiver. Both of the transmitter and receiver are being placed in the antenna. The antenna frequency used during this study is 250 MHz antenna. The survey line at Location A, B and C are 30 meters length while at Location D is 12 meters length. GPR data are recorded digitally and need extensive processing using the filters. First step in GPR processing was filter the raw data for instrument noise or any irregularities in the data such as DC Removal, Time Varying Gain, and Band Pass in the GroundVision software. The data were exported into an ASCII file. Then the ASCII file is opened in Microsoft Excel, the amplitudes were chosen to produce the graphs. The graphs that produces are Amplitude vs Time and Amplitude vs Depth. The depth was calculated by using Equation 1 where the velocity was taken from Table 1 and time was taken from the graph Amplitude vs Time. The depth was obtained from the equation and being compared with the depth in the graph Amplitude vs Depth. 5. RESULTS AND DISCUSSION The data at Location A shows the hyperbolic curve which indicated as the target of suspected cavity (Figure 5). From Figure 5 the suspected cavity was located at depth about 1.51 meters. The Figure 6 shows the graph of Amplitude vs Depth. The graph shows the highest amplitude at 0.681792 meter depth where the medium is wet clay. The water moisture slows down the radar wave speed and it attenuates the energy [4]. Then the wave reaches another medium (air) or suspected cavity at 1.1 meter depth. The depth of the air medium is almost the same as in Figure 5 and Figure 7 shows the layer of the medium at Location A. Fig -5: Data at Location A with target of suspected cavity. Fig -6: The graphs of Amplitude vs Depth at Location A (suspected cavity). Fig -7: A photo of cavity located at Location A. Figure 8 shows the hyperbolic curve for the target of drainage at Location B with depth of about 2.0 meters and the travel time is 27 ns. The graph in Figure 9 shows the highest amplitude at 1.008 meter depth where the wave reaches medium of dry sand. The penetration of the electromagnetic (EM) wave was deeper than wave penetration at Location A, this is due to the most of top of the drainage was covered with sand. Sand has high porosity that allows the wave to penetrate deeper. The wave propagates properly and will distribute in dry sand area. Dry sand is considered as good medium for wave propagation. The depth of second positive amplitude is almost the same depth as in Figure 8 which indicates as drainage. The wave reached the concrete (drainage) and started to lose its energy when it reaches the air. Figure 10 shows the layer of the medium at Location B. Fig -8: Data at Location B with target of drainage.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET ISO 9001:2008 Certified Journal Page 51 Fig -9: The graphs of Amplitude vs Depth at Location B. Fig -10: Illustration of underground drainage with different medium at Location B. The data at location C which is the bunker at Desasiswa Bakti Permai shows a hyperbolic curve that indicates the suspected target at 0.87 meters depth (Figure 11). Figure 12 shows the first positive amplitude at 0.51 meters depth which indicates as soil and the second positive amplitude at 0.755 meters depth indicate as concrete (bunker). The amplitude range is less compare with Location B because the penetration of the wave is less. It is because of the target area largely consists of thicker concrete compare with Location B and mostly the top of bunker is covered by soil. Soil cause the wave cannot penetrate further. The layer of the medium at this location consists of soil, concrete and air (Figure 13). Fig -11: Data at Location C with target of a bunker. Fig -12: The graphs of Amplitude vs Depth at Location C. Fig -13: The different medium at Location C. The result at location D which is at School of Physics shows a hyperbolic curve that indicates the suspected target at 0.83 meters depth (Figure 14). The graph in Figure 15 shows the penetration of the wave is similar with Location C but with less amplitude height. It is because that area largely covered by concrete which will cause the wave travel with less velocity. The pipe also has a lower reflection percentage compare to the metal material or different medium. The first positive amplitude at 0.62 meters indicates as concrete (cement) and second positive amplitude indicate as another medium (pipe) at 0.805 meters depth. The depth of pipe in the graph (Figure 15) is close with depth in Figure 14. Figure 16 shows the layer of different medium at Location D.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET ISO 9001:2008 Certified Journal Page 52 Fig -14: Data at Location D with target of pipe. Fig -15: The graphs of Amplitude vs Depth at Location D. Fig -16: The different medium at Location D. Fig -17: Graph Amplitude vs Time on different targets. The travel time for Location A, B and C are about the same but the travel time for Location D is much longer. This is because the medium before the target of pipe at Location D is made of concrete which has lower penetration for electromagnetic (EM) wave. The concrete also one of the energy absorbing materials which will cause the EM wave dissipates or attenuates. Travel time for Location A is the shortest compared to the other locations due to the EM wave travel only through two different medium which are clay and air. The difference of travel time between Location B and C is because of the thickness of the concrete. The concrete for Location C is thicker than the concrete at Location B. The estimation of the suspected targets at all locations can be proved by using equation 1. Based on graph Amplitude vs Depth (Figure 6) at Location A, the estimated depth is about 1.08 meters. The depth was verified using equation 1 with time 22.03 ns obtained from Figure 17 and velocity of the medium (wet clay) is 100 mm/ns for Location A, and the result is 1.10 meters. For Location B, the estimated depth (Figure 9) is about 1.70 meter. The depth was verified with time 22.03 ns and velocity of the medium (sand) is 150 mm/ns and the result is 1.65 meters. At Location C, the estimated depth (Figure 12) is about 0.67 meters. The depth was verified with time 19.58 ns and velocity of the medium (Average soil) is 75 mm/ns and the result is 0.73 meters. Lastly at Location D, the estimated depth (Figure 15) is about 0.79 meters. The depth was verified with time 20.25 ns and the velocity of the medium (concrete) is 80 mm/ns and the result is 0.81 meters.
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET ISO 9001:2008 Certified Journal Page 53 6. CONCLUSIONS The Ground Penetrating Radar (GPR) is a very effective method for shallow subsurface investigation for different target of interest even in different medium. The equation 1 can be used to verify the depth by using the information obtained from graph Amplitude vs Depth and Time. The depth that obtained using the equation almost similar to the depth that obtained from graph Amplitude vs Depth and from the estimated depth in the raw data after filtered. ACKNOWLEDGEMENT The authors thanked all the technical staffs of the Geophysics laboratory, postgraduate students and final year students, School of Physics, Universiti Sains Malaysia for their assistance during the data acquisition. REFERENCES [1] Steve, C. (2002), Subsurface Investigation Using Ground Penetrating Radar. Department of Geology and Geophysics, University of Missouri-Rolla, Rolla, MO. [2] Timo, S. and Pekka, M. (2011), The Use of GPR in Road Rehabilitation Projects. Roadscanners Oy, Finland. [3] María, V.B., Matías, D.L.V. and Néstor, B. (2011), Contribution of the resistivity method to characterize mud walls in very dry region and comparison with GPR. Journal of Archaeological Science. [4] Milsom, J. (2003), Field geophysics: The geological field guide series, Third Edition, pg 167-175. [5] Davis, J.L. and Annan, A.P. (1989), Ground Penetrating Radar for High-Resolution Mapping of Soil and Rock Stratigraphy, Volume 37, Issue 5 pages 531-551. [6] Google earth, 2015. [7] Reynolds, J.M. (1997), An Introduction to Applied and Environmental Geophysics. John Wiley and Sons, Ltd., New York.