Feasibility of subsurface imaging using diurnal temperature variations

Bachelor thesis (2019)

Authors

M. Bezemer Electrical Engineering, Mathematics and Computer Science

Contributors

N.V. Budko Numerical Analysis - EEMCS (mentor)
J.L.A. Dubbeldam Mathematical Physics - EEMCS (graduation committee member)
E.M. van Elderen Mathematical Physics - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 Marissa Bezemer
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Published Date

09-12-2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The feasibility of subsurface imaging using diurnal temperature variations to determine and/or monitor tuber growth is investigated by creating a model capable of numerically simulating data. The model and the numerical simulations are discussed, as well as the use of effective inversion to determine the volumefraction of tubers.