Investigating Landfill Contamination by Visualizing Geophysical Data

• Type: Another Publication in an International Scientific Journal
• Date: 2014

Authors

Vitor Goncalves (Author) Other; Paulo Dias (Author) Other; Maria Joao Fontoura (Author) Other; Rui Moura (Author) FCUP; Beatriz Sousa Santos (Author) Other

Journal

Title: IEEE Computer Graphics and Applications

Vol. 34

Pages: 16-21

ISSN: 0272-1716

Publisher: IEEE

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-009-C2R

DOI: 10.1109/mcg.2014.11

Abstract (EN): 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. © 2014 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6