Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/21385
Title: | Investigating Landfill Contamination by Visualizing Geophysical Data |
Author: | Gonçalves, Vítor Dias, Paulo Fontoura, Mª João Moura, Rui Sousa Santos, Beatriz |
Keywords: | Groundwater contamination 3D visualization Geophysical data Statistical anomaly detection Computer graphics |
Issue Date: | Feb-2014 |
Publisher: | IEEE |
Abstract: | Geophysical experts aimed to establish a method to identify contamination by landfill leakage without chemically analyzing subsoil samples, which is time-consuming and expensive. To that end, researchers developed a software package that let the experts create 3D visualizations of geophysical data acquired around the landfill and apply statistical analysis to detect anomalous values. The data used, electrical resistivity, are typically sparse. So, the application employs kriging to interpolate the data and provide a volumetric representation of the subsoil resistivity. To avoid invalid conclusions, the visualization also represents uncertainty. The application enabled the experts to better understand the phenomenon and to develop and validate their method. Their evaluation of the application indicated that it helped them throughout the method's development and significantly eased their workload. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/21385 |
DOI: | 10.1109/MCG.2014.11 |
ISSN: | 0272-1716 |
Appears in Collections: | IEETA - Artigos |
Files in This Item:
File | Description | Size | Format | |
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Investigating-Landfill-contamination-final.pdf | 2.84 MB | Adobe PDF |
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