3-D Electrical Resistivity Imaging with Compressive Sensing: Application to Simulate Soil-Water-Disease Interactions of Citrus Trees

Ranjan, Shashi (2016) 3-D Electrical Resistivity Imaging with Compressive Sensing: Application to Simulate Soil-Water-Disease Interactions of Citrus Trees. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

This research is organized into two parts. First part of the work aims at understanding the inversion mechanism of electrical resistivity tomography (ERT) from first principles. A compressive sensing (CS) based ERT inversion algorithm was developed for use with sub-surface image reconstruction. Second part of the research aims at developing efficient irrigation water management scenarios considering health of the citrus tree using experimental and numerical studies. Geophysical techniques are widely used to characterize hydrological uxes that are controlling sub-surface dynamics. Of these, ERT has proven to be the prominent and robust technologies for imaging the sub-surface. The strength of a geophysical inversion technique to reconstruct the image is largely dependent on the strategy adopted to solve the ill-posed, under-determined, non-linear system. Conventional gradient based algorithms that use Euclidean norm minimization with some sort of regularization may fail to detect the sharp interfaces between earth layers and resistivity anomalies. Given the fact that, earth's resistivity (and hence, hydro-geologic) features varies abruptly on a continuous spatial domain; the sparsity in model parameter change can be better utilized to apply CS algorithms for resistivity imaging. CS based 3-D image reconstruction algorithms from ERT observations were not reported in literature till date.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Tomography, Geophysical inversion, compressed sensing, soil-moisture and resistivity relationship, HYDRUS, RD710
Subjects: Civil Engineering > Soil Structure Interaction
Divisions: Department of Civil Engineering
Depositing User: Team Library
Date Deposited: 31 Aug 2016 07:19
Last Modified: 31 Aug 2016 08:54
URI: http://raiith.iith.ac.in/id/eprint/2697
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