Principal component analysis and quantitative image analysis to predict effects of toxics in anaerobic granular sludge
Principal component analysis (PCA) was applied to datasets gathering morphological, physiological and reactor performance information, from three toxic shock loads (SL1 – 1.6 mgdetergent/L; SL2 – 3.1 mgdetergent/L; SL3 – 40 mgsolvent/L) applied in an expanded granular sludge bed (EGSB) reactor. The...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2009
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| Texto completo: | https://hdl.handle.net/1822/9137 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/9137 |