Abstract
Soil Stratification methods are used to estimate soil geoelectrical parameters. Several stratification methods are available, but reducing the error estimation introduced by such methods still poses as a challenge. The purpose of this work is to present a heuristic algorithm applied to the optimization of geoelectrical prospection process. The goal is to estimate soil parameters, such as the amount of layers, thickness and resistivity of each layer in an optimal and automated manner. The algorithm consists of analyzing the sensitivity of sampling space parameters. The propose methodology shows error reduction above 75% between the experimental and theoretical curves of the analyzed soils. The results are presented and discussed.
Original language | English (US) |
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Title of host publication | EEEIC 2016 - International Conference on Environment and Electrical Engineering |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509023196 |
DOIs | |
State | Published - Aug 29 2016 |
Event | 16th International Conference on Environment and Electrical Engineering, EEEIC 2016 - Florence, Italy Duration: Jun 7 2016 → Jun 10 2016 |
Publication series
Name | EEEIC 2016 - International Conference on Environment and Electrical Engineering |
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Conference
Conference | 16th International Conference on Environment and Electrical Engineering, EEEIC 2016 |
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Country/Territory | Italy |
City | Florence |
Period | 6/7/16 → 6/10/16 |
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering