Analysis of activated sludge process using multivariate statistical tools—a PCA approach
| Autor: | Song Won Park, Oscar A.Z. Sotomayor, Rosana K. Tomita |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Engineering
Multivariate analysis Process (engineering) business.industry General Chemical Engineering Environmental engineering General Chemistry Statistical process control Industrial and Manufacturing Engineering Total variability Activated sludge Principal component analysis Environmental Chemistry Sewage treatment Multivariate statistical Biological system business |
| Zdroj: | Chemical Engineering Journal. 90:283-290 |
| ISSN: | 1385-8947 |
| DOI: | 10.1016/s1385-8947(02)00133-x |
| Popis: | Twelve original physical variables of an activated sludge wastewater treatment system are considered. These cross-correlated variables are transformed in new ones that are not correlated by the use of PCA (principal component analysis), a powerful tool for analysis, monitoring and diagnostics of wastewater treatment processes. Just three principal components explain most of the system total variability (78% of total variance). Thus, the ability to describe the overall characteristics of the process using only three principal components will make the analysis, monitoring and diagnostic of the system easier. Three groups of variables characterizing the system are detected. The first group identifies variables that represent micro-organisms and inert particulate matter arising from cellular decay, while the second group refers to substrates and flow rate. The third group is related to the pH. Based on these results, the present paper shows how to enlarge the ways of interpreting the characteristics of activated sludge wastewater treatment system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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