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Gonçalves V, Dias P, Fontoura MJ, et al. Investigating landfill contamination by visualizing geophysical data. IEEE Comput Graph Appl. 2014;34(1):16-21doi: 10.1109/MCG.2014.11.
Gonçalves, V., Dias, P., Fontoura, M. J., Moura, R., & Sousa Santos, B. (2014). Investigating landfill contamination by visualizing geophysical data. IEEE computer graphics and applications, 34(1), 16-21. https://doi.org/10.1109/MCG.2014.11
Gonçalves, Vitor, et al. "Investigating landfill contamination by visualizing geophysical data." IEEE computer graphics and applications vol. 34,1 (2014): 16-21. doi: https://doi.org/10.1109/MCG.2014.11
Gonçalves V, Dias P, Fontoura MJ, Moura R, Sousa Santos B. Investigating landfill contamination by visualizing geophysical data. IEEE Comput Graph Appl. 2014 Jan-Feb;34(1):16-21. doi: 10.1109/MCG.2014.11. PMID: 24808164.
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IEEE Comput Graph Appl. 2014 Jan-Feb;34(1):16-21. doi: 10.1109/MCG.2014.11.

Investigating landfill contamination by visualizing geophysical data.

IEEE computer graphics and applications

Vitor Gonçalves, Paulo Dias, Maria João Fontoura, Rui Moura, Beatriz Sousa Santos

PMID: 24808164 DOI: 10.1109/MCG.2014.11

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.

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