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Multivariate statistical analysis of a high rate biofilm process treating kraft mill bleach plant effluent.
- Source :
-
Water science and technology : a journal of the International Association on Water Pollution Research [Water Sci Technol] 2007; Vol. 55 (6), pp. 47-55. - Publication Year :
- 2007
-
Abstract
- This study reports on a multivariate analysis of the moving bed biofilm reactor (MBBR) wastewater treatment system at a Canadian pulp mill. The modelling approach involved a data overview by principal component analysis (PCA) followed by partial least squares (PLS) modelling with the objective of explaining and predicting changes in the BOD output of the reactor. Over two years of data with 87 process measurements were used to build the models. Variables were collected from the MBBR control scheme as well as upstream in the bleach plant and in digestion. To account for process dynamics, a variable lagging approach was used for variables with significant temporal correlations. It was found that wood type pulped at the mill was a significant variable governing reactor performance. Other important variables included flow parameters, faults in the temperature or pH control of the reactor, and some potential indirect indicators of biomass activity (residual nitrogen and pH out). The most predictive model was found to have an RMSEP value of 606 kgBOD/d, representing a 14.5% average error. This was a good fit, given the measurement error of the BOD test. Overall, the statistical approach was effective in describing and predicting MBBR treatment performance.
- Subjects :
- Bioreactors microbiology
Equipment Design
Hydrogen-Ion Concentration
Membranes, Artificial
Paper
Time Factors
Biofilms growth & development
Industrial Waste
Multivariate Analysis
Waste Disposal, Fluid methods
Water Pollutants, Chemical analysis
Water Purification instrumentation
Water Purification methods
Subjects
Details
- Language :
- English
- ISSN :
- 0273-1223
- Volume :
- 55
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Water science and technology : a journal of the International Association on Water Pollution Research
- Publication Type :
- Academic Journal
- Accession number :
- 17486834
- Full Text :
- https://doi.org/10.2166/wst.2007.211