Statistical determination of steady state condition in bioremediation tests

Journal Article

Linear regression and two newly developed statistical techniques were used to determine steady states in the dependent y-variables (effluent concentration or removal rate of pollutants) using correlation coefficients (r) for the relationship between the independent x-variables (reactor operating or treatment time) and the dependent y-variables. The statistical technique applied to chlorophenol bioremediation using a varying number of data points for linear regression analysis was more useful in determining a steady state for six general data patterns from bioremediation tests than the statistical technique using a fixed number of data points for linear regression analysis.

Full Text

Duke Authors

Cited Authors

  • Yum, K-J; Peirce, JJ

Published Date

  • 1997

Published In

Volume / Issue

  • 19 / 8

Start / End Page

  • 763 - 769

International Standard Serial Number (ISSN)

  • 0141-5492

Digital Object Identifier (DOI)

  • 10.1023/A:1018388226090