ESTIMASI PARAMETER FISIKA DARI DATA GROUND PENETRATING RADAR (GPR)

• Main Author: Ode Safiuddin, La
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/5109
• Institution: Institut Teknologi Bandung

<b>Abstract :</b><p align="justify"> <br /> <br /> The estimation of physical parameter from GPR data was carried out using CMP velocity and Brewster angle techniques. The three steps involved were (a) the modeling of GPR data using finite difference technique in time domain, (b) the estimation of physical parameter from the modeled GPR data, and (c) the application of the physical parameter's estimation technique for field data. In this research, the simulated model is 2D synthetic radargram in 3 layers model, 4 layers model, and 5 layers model. The first layer in the three models is free-air, while the second layer is clay. Velocity analysis on CMP (bra for the 3 layers model, gives the dielectric constant (sr) of 1 for the first layer and of 9.0 for the second layer. The dielectric constant of the third layer cannot be estimated from CMP velocity analysis, so that the Brewster angle technique was applied and gave cr = 3.985. For 4 layers model, the CMP velocity analysis gives sr = 1 for the first layer 1, sr = 10.185 for the second layer 2, and sr = 15.581 for the third layer (nickel). Meanwhile, Brewster angle analysis gives sr = 14.890 for the third layer and sr = 9.898 for the forth layer (bedrock). For 5 layers model, the CMP velocity analysis gives sr = 1 for the first layer 1, sr = 6.9 for the second layer 2, sr = 33 for the third layer, and sr = 5.3 for the forth layer. Meanwhile, Brewster angle analysis gives sr = 5.014 for the forth layer and sr = 4.870 for the fifth layer. Estimation of field data using CMP velocity analysis gives sr = 1 (free-air), sr = 3.31 (top soil), sr = 3.698 (saprolite), sr <br /> 4.22 (limonite) and sr = 3.947 (bedrock).<p align="justify"> <br /> <br />