Three Dimensional Finite Difference Time Domain Modeling of Ground Penetrating Radar with an Efficient and Robust Algorithm to Define and Predict Hydrologic Properties in the Subsurface

HR: 0800h
AN: H21C-1367 [Abstracts]
TI: Three Dimensional Finite Difference Time Domain Modeling of Ground Penetrating Radar with an Efficient and Robust Algorithm to Define and Predict Hydrologic Properties in the Subsurface
AU: * Eyuboglu, S
EM: eyuboglu.1@osu.edu
AF: Department of Geological Sciences, The Ohio State University, 275 Mendenhall Laboratory 125 South Oval Mall, Columbus, OH 43210 United States
AU: Daniels, J J
EM: jeff@geology.ohio-state.edu
AF: Department of Geological Sciences, The Ohio State University, 275 Mendenhall Laboratory 125 South Oval Mall, Columbus, OH 43210 United States
AU: Pyke, K
EM: pyke.10@geology.ohio-state.edu
AF: Department of Geological Sciences, The Ohio State University, 275 Mendenhall Laboratory 125 South Oval Mall, Columbus, OH 43210 United States
AB: Ground Penetrating Radar (GPR) is a commonly used non-invasive tool to characterize the physical properties of the subsurface. The translation of the physical measurements to geologic and hydrogeologic conditions is the culmination of many geophysical investigations. Numerical modeling increases the applicability of GPR in the geophysics area when applied parallel to the GPR data, allowing to understand the effects of complex electromagnetic phenomena by defining and solving problems, as well as predicting the performance of radar in a complex heterogeneous environment. Finite difference time domain (FDTD) has been widely used for numerical modeling of GPR, but most of the previous algorithms are limited in their ability to model the electrical conductivity and permittivity. In this research, a highly efficient robust algorithm was developed to enhance the effectiveness of the FDTD forward modeling in surroundings characterized by an arbitrary distribution of all electrical properties in three dimensional space. The modeling algorithm was developed for a heterogeneous half-space medium to facilitate statistical modeling of complex distributions of hydrologic properties in the subsurface. The results produced by the simulation reveal high accuracy using the robust algorithm to optimize three dimensional FDTD forward modeling of GPR responses in heterogeneous surroundings.
DE: 0520 Data analysis: algorithms and implementation
DE: 0545 Modeling (4255)
DE: 0609 Antennas
DE: 0644 Numerical methods
SC: Hydrology [H]
MN: Fall Meeting 2005