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An insight into soil bioremediation through respirometry
Authors:Fiúza António M A  Vila M Cristina C
Institution:Faculty of Engineering of University of Porto, Rua Roberto Frias 4200-465 Porto, Portugal. afiuza@fe.up.pt
Abstract:Respirometric tests on a soil contaminated by crude oil were performed. Continuous measurements of oxygen and carbon dioxide concentrations and temperature in the soil atmosphere resulted in a large volume of data. Time series and system identification theories were used to analyze data as a biological signal, allowing us to detect some particularities related to daily cycles of the studied variables as well as its time relationships through autocorrelation and cross-correlation functions. Using system identification techniques, it was possible to build black box models, namely autoregressive moving average models which enable to predict oxygen concentration at the outlet in a good agreement with measured data.
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