BYU

Abstract by Adam Robertson

Personal Infomation


Presenter's Name

Adam Robertson

Co-Presenters

McKay Harward
Mingyan Zhao
Ashley Avery

Degree Level

Undergraduate

Co-Authors

McKay Harward
Mingyan Zhao
Ashley Avery

Abstract Infomation


Department

Mathematics

Faculty Advisor

Jared Whitehead
Ron Harris

Title

Combining Topography Files for Tsunami Wave Back-propagation Estimation

Abstract

In the tsunami wave backpropagation problem, the accuracy of topography files modeling the ocean floor affects the reliability of the prediction. As part of our model of a tsunami (1852) in Indonesia, we combined data from multiple topography sources to produce the best possible approximation. We have developed a method to (i) slice accurate land data from relevant regions of a higher resolution file, (ii) interpolate over the corresponding regions of a low resolution file to approximate the sea floor, and (iii) replace missing values in the high resolution file with the approximations from the interpolated data. Because some data sources provide non-uniform samples of the topography, we implement methods of interpolating over non-uniform samples. We discuss several iterations of this process and provide estimates of the success of our current model.