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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
DOI: 10.1109/MCG.2014.11
ISSN: 0272-1716
Appears in Collections:IEETA - Artigos

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