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PHYSICAL PARAMETER EFFECTS ON 3D NUMERICAL MODELING OF GROUND PENETRATING RADAR (GPR): DNAPL CASE STUDY

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dc.creator ÖZKAP, Kerem; KOCAELİ ÜNİVERSİTESİ
dc.creator PEKŞEN, Ertan; KOCAELİ ÜNİVERSİTESİ
dc.date 2021-06-20T00:00:00Z
dc.date.accessioned 2021-12-03T11:45:38Z
dc.date.available 2021-12-03T11:45:38Z
dc.identifier https://dergipark.org.tr/tr/pub/jesd/issue/62893/675785
dc.identifier 10.21923/jesd.675785
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/93688
dc.description In this study, the effect of the physical parameters directly affecting the performance of the ground radar (GPR) method on the field was investigated by using a three-dimensional numerical model. While the medium was designed as saturated sand, the properties of dense non-aqueous phase liquids (DNAPL) were used as buried mass. Trichloroethylene (TCE), Tetrachlorethylene (PCE), Trichloroethane, and Dichloroethane were selected as DNAPL types. 1.5GHz center frequency GSSI brand GPR antenna was used as a source. In the first stage, while the physical parameters of the medium were gradually increased, the physical parameters of the DNAPL mass were kept constant. In the second stage, the opposite process was applied. When the radargrams were examined, it was observed that the reflections of the DNAPL mass were delayed due to the increase of the relative dielectric permittivity of the medium. In addition, TCE was the most detectable DNAPL type that causes the most obvious reflections. When the electrical conductivity value was increased gradually, electromagnetic energy was absorbed and recorded as weak reflections. It was observed that the gradual increase of the relative magnetic permeability value caused strong multiple reflections.
dc.description Bu çalışmada yer radarı yöntemi için sayısal modelleme benzetimleri yapılmıştır. Bu amaçla 3B sayısal model seti tasarlanmıştır. Model seti içerisinde ortama ve gömülü nesneye ait fiziksel parametre değerleri değiştirilerek radargramlara etkisi incelenmiştir. İncelenen bu parametreler göreceli dielektriksel geçirgenlik, elektriksel iletkenlik ve göreceli manyetik geçirgenlik değerleridir. Aranan gömülü nesne olarak ise yeraltı su sistemleri için büyük tehlike arz eden Dense non-aqueous phase liquids (DNAPL) olarak adlandırılan kirleticilere ait özellikler kullanılmıştır. Modellemelerde kullanılan DNAPL türleri; Trikloroetilen (TCE), Tetrakloroetilen (PCE), Trikloroetan ve Dikloroetan seçilmiştir. Sayısal modellemelerde kaynak olarak GSSI firmasına ait 1.5GHz anten frekansına sahip anten modeli kullanılmıştır. Elde edilen sentetik radargramlar hem izler hem de profiller üzerinden karşılaştırılmıştır. Tüm bu sonuçlar irdelendiğinde fiziksel parametrelerin yer radarı yöntemi üzerindeki etkisi ayrıntılı bir şekilde ortaya konmuştur.
dc.format application/pdf
dc.language tr
dc.publisher Süleyman Demirel Üniversitesi
dc.publisher Süleyman Demirel University
dc.relation https://dergipark.org.tr/tr/download/article-file/933343
dc.source Volume: 9, Issue: 2 476-494 en-US
dc.source 1308-6693
dc.source Mühendislik Bilimleri ve Tasarım Dergisi
dc.subject Ground penetrating radar,Numerical modeling,DNAPL,gprMax
dc.subject Yer radarı,sayısal modelleme,DNAPL,gprMax
dc.title PHYSICAL PARAMETER EFFECTS ON 3D NUMERICAL MODELING OF GROUND PENETRATING RADAR (GPR): DNAPL CASE STUDY en-US
dc.title YER RADARI (GPR) İÇİN 3B SAYISAL MODELLEMEDE FİZİKSEL PARAMETRE ETKİLERİ: DNAPL ÖRNEĞİ tr-TR
dc.type info:eu-repo/semantics/article
dc.citation Ajo-Franklin, J. B., Geller, J. T., Harris, J. M., 2006. A survey of the geophysical properties of chlorinated DNAPLs. Journal of Applied Geophysics, 59(3), 177–189.
dc.citation Annan, A. P., 1973. Radio interferometry depth sounding: Part I—Theoretical discussion. Geophysics, 38(3), 557-580.
dc.citation Annan, A. P., 2003. Ground Penetrating Radar Principles, Procedures & Applications, Sensors and software, Mississauga, ON, Canada.
dc.citation Balkaya Ç., 2010. Karşılıklı Kuyu Yer Radarı Verisinin İki Boyutlu Seyahat Zamanı Tomografisi. Doktora Tezi. Dokuz Eylül Üniversitesi, İzmir, 283667.
dc.citation Balkaya, Ç., Kalyoncuoğlu, Ü. Y., Özhanlı M., Merter, G., Çakmak, O., Güven, I. T., 2018. Ground‐penetrating radar and electrical resistivity tomography studies in the biblical Pisidian Antioch city, southwest Anatolia. Archaeological Prospection, 25(4), 285-300.
dc.citation Bayrak, M. Ç., Tigdemir, M., Karaşahin, M., Çakmak, O., 2020. Mühendislik Bilimleri ve Tasarım Dergisi, 8(2), 572-581.
dc.citation Bianchini C. L., Tosti, F., Economou, N., Benedetto, F., 2019. Signal Processing of GPR Data for Road Surveys. Geosciences, 9(2), 96.
dc.citation Cai, J., McMechan, G. A., 1995. Ray-based synthesis of bistatic ground-penetrating radar profiles. Geophysics, 60(1), 87-96.
dc.citation Carcione, J. M., 1996. Ground-radar numerical modeling applied to engineering problems. European Journal of Environmental and Engineering Geophysics, 1, 65-81.
dc.citation Çiydem M., Koç S., 2014. Zaman-Uzayda Sonlu Farklar Yöntemin Dezavantajları İçin Geometrik Optik Yöntemlerin Kullanımı. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 29(1).
dc.citation Diamanti N., 2008. An efficient ground penetrating radar finite-difference time-domain subgridding scheme and its application to the non-destructive testing of masonry arch bridges. Doktora Tezi. The University of Edinburgh, UK.
dc.citation Elsherbeni A. Z., Demir V., 2016. The finite-difference time-domain method for electromagnetics with MATLAB simulations. ACES Series on Computational Electromagnetics and Engineering.
dc.citation Feng, J., Su, Y., Li, C., Dai, S., Xing, S., Xiao, Y., 2019. An imaging method for Chang’e− 5 Lunar Regolith Penetrating Radar. Planetary and Space Science, 167, 9-16.
dc.citation Giannakis, I., Giannopoulos, A., Warren, C., 2015. A realistic FDTD numerical modeling framework of ground penetrating radar for landmine detection. IEEE journal of selected topics in applied earth observations and remote sensing, 9(1), 37-51.
dc.citation Giannopoulos A., 2005. Modelling ground penetrating radar by GprMax, Construction and Building Materials, 19(10), 755-762.
dc.citation Giannopoulos, A., 2011. Unsplit implementation of higher order PMLs. IEEE Transactions on Antennas and Propagation, 60(3), 1479-1485.
dc.citation Goodman, D., 1994. Ground-penetrating radar simulation in engineering and archaeology. Geophysics, 59(2), 224-232.
dc.citation Hamran, S. E., Paige, D. A., Amundsen, H. E., Berger, T., Brovoll, S., Carter, L., …Øyan, M. J., 2020. Radar imager for Mars’ subsurface experiment—RIMFAX. Space Science Reviews, 216(8), 1-39.
dc.citation Irving J., Knight R., 2006. Numerical modeling of ground-penetrating radar in 2-D using MATLAB. Computers and Geosciences, 2006, 32(9),1247-1258.
dc.citation Kadioglu, S., Ulugergerli, E. U., 2012. Imaging karstic cavities in transparent 3D volume of the GPR data set in Akkopru dam, Mugla, Turkey. Nondestructive Testing and Evaluation, 27(3), 263-271.
dc.citation Kaplanvural, İ., Pekşen, E., Özkap, K., 2018. Volumetric water content estimation of C-30 concrete using GPR. Construction and Building Materials, 166, 141-146.
dc.citation Kurtulmuş T., Drahor M., 2008. Yer radarı modellemesinde fiziksel ve geometrik parametre etkilerinin araştırılması, Yerbilimleri, 29(2), 37-52.
dc.citation Orlando, L., Palladini, L., 2019. Time-lapse laboratory tests to monitor multiple phases of DNAPL in a porous medium. Near Surface Geophysics, 17(1), 55-68.
dc.citation Özkap, K., 2019. Yer radarı yöntemi ile gelişmiş üç boyutlu DNAPL modelleme. Doktora Tezi. Kocaeli Üniversitesi, Türkiye, 599062.
dc.citation Özkap, K., Pekşen, E., Kaplanvural, İ., Çaka, D., 2020. 3D scanner technology implementation to numerical modeling of GPR. Journal of Applied Geophysics, 179, 104086.
dc.citation Roberts, R. L., Daniels, J. J., 1997. Modeling near-field GPR in three dimensions using the FDTD method, 62(4), 114-1126.
dc.citation Schotsmans, E. M., Fletcher, J. N., Denton, J., Janaway, R. C., Wilson, A. S., 2014. Long-term effects of hydrated lime and quicklime on the decay of human remains using pig cadavers as human body analogues: field experiments. Forensic science international, 238, 141-e1.
dc.citation Warren C., Giannopoulos A., 2011. Creating finite-difference time-domain models of commercial ground-penetrating radar antennas using Taguchi’s optimization method. Geophysics, 76(2), G37-G47.
dc.citation Warren C., Giannopoulos A., Giannakis I., 2016. gprMax: Open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar. Computer Physics Communications, 209, 163-170.
dc.citation Yee, K.,1966. Numerical solution of initial boundary value problems involving Maxwell's equations in isotropic media. IEEE Transactions on antennas and propagation, 14(3), 302-307.
dc.citation Zeng, X., McMechan, G. A., Cai, J., Chen, H. W., 1995. Comparison of ray and Fourier methods for modeling monostatic ground-penetrating radar profiles. Geophysics, 60(6), 1727-1734.
dc.citation Zeng, X., McMechan, G. A., 1997. GPR characterization of buried tanks and pipes. Geophysics, 62(3), 797-806.


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