Numerical Simulation of Radar Velocity Tomography Using SIRT and ART

Article Preview

Abstract:

Layer structure is an important reference basis for evaluating quality of land reclamation. Classical methods like digging profiles cost much time and energy. GPR (Ground Penetrating Radar) is a non-destructive and high-efficient technique. Aiming at the problem that insufficient reflected signal energy using traditional reflection method, tomography can be used in GPR detection for layer structure of mine reclamation soil. A model with four layers with different wave velocity is constructed and both ART and SIRT are employed to solve the inversion equations. The results show agreement with model data, and the difference between layers is clear. This verifies radar tomography technology is practical for detection layer structure of mine reclamation soil. The two algorithms give similar results and ART shows better accuracy while SIRT provides more stable results.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

226-229

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Shrestha, R.K. and R. Lal, Changes in physical and chemical properties of soil after surface mining and reclamation[J]. Geoderma, 2011. 161(3-4): 168-176.

DOI: 10.1016/j.geoderma.2010.12.015

Google Scholar

[2] Li, B., H. Gu, and Y. Ji, Evaluation of landscape pattern changes and ecological effects in land reclamation project of mining area[J]. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2012. 28(3): 251-256.

Google Scholar

[3] Fukushima, Y., et al. Research for measuring velocity and direction of current from dynamic image[C]. in 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012, November 20, 2012 - November 24, 2012. 2012. Kobe, Japan: IEEE Computer Society.

DOI: 10.1109/scis-isis.2012.6505307

Google Scholar

[4] Wang, X., et al., Nondestructive measurement of depths of earthing, canal lining and roadbed of reclamation projects[J]. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2013. 29(9): 231-238.

Google Scholar

[5] Tosti, F., et al., Clay content evaluation in soils through GPR signal processing[J]. Journal of Applied Geophysics, 2013. 97: 69-80.

DOI: 10.1016/j.jappgeo.2013.04.006

Google Scholar

[6] Nouioua, I., et al., The application of GPR and electrical resistivity tomography as useful tools in detection of sinkholes in the Cheria Basin (northeast of Algeria) [J]. Environmental Earth Sciences, 2013. 68(6): 1661-1672.

DOI: 10.1007/s12665-012-1859-9

Google Scholar

[7] Igel, J., T. Gunther, and M. Kuntzer, Ground-penetrating radar insight into a coastal aquifer: The freshwater lens of Borkum Island[J]. Hydrology and Earth System Sciences, 2013. 17(2) 519-531.

DOI: 10.5194/hess-17-519-2013

Google Scholar

[8] Raparia, D., J. Alessi, and A. Kponou, Algebraic reconstruction technique (ART) [C]. Proceedings of the IEEE Particle Accelerator Conference, 1998. 2: 2023-(2025).

DOI: 10.1109/pac.1997.751094

Google Scholar

[9] Su, B.L., et al., Simultaneous iterative reconstruction technique for electrical capacitance tomography[J]. Qinghua Daxue Xuebao/Journal of Tsinghua University, 2000. 40(9): 90-92.

Google Scholar