An insight into soil bioremediation through respirometry.

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.

journal_name

Environ Int

authors

Fiúza AM,Vila MC

doi

10.1016/j.envint.2004.09.013

subject

Has Abstract

pub_date

2005-02-01 00:00:00

pages

179-83

issue

2

eissn

0160-4120

issn

1873-6750

pii

S0160-4120(04)00163-1

journal_volume

31

pub_type

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