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An insight into soil bioremediation through respirometry
AbstractRespirometric 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.
An insight into soil bioremediation through respirometry
AbstractRespirometric 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.
An insight into soil bioremediation through respirometry
Fiúza, António M.A. (Autor:in) / Vila, M. Cristina C. (Autor:in)
Environmental International ; 31 ; 179-183
01.01.2004
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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