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https://hdl.handle.net/1822/8114
Título: | Predicting effects of toxic events to anaerobic granular sludge with quantitative image analysis and principal component analysis |
Autor(es): | Costa, J. C. Alves, M. M. Ferreira, Eugénio C. |
Palavras-chave: | Detergent Principal component analysis Quantitative image analysis Solvent Toxic shock load |
Data: | 24-Jun-2008 |
Citação: | INTERNATIONAL SYMPOSIUM ON SANITARY AND ENVIRONMENTAL ENGINEERING, Florença, Italia, 2008 – “Proceedings of the International Symposium on Sanitary and Environmental Engineering : SIDISA 08” [CD-ROM]. Florença : Andis Toscana, 2008. ISBN:978-88-903557-0-7. |
Resumo(s): | Detergents and solvents are included in the list of compounds that can be inhibitory or toxic to anaerobic digestion processes. Industrial cleaning stages/processes produce vast amounts of contaminated wastewater. In order to optimize the control of these wastewaters it is important to know and predict the effects on the activity and physical properties of anaerobic aggregates in an early stage. Datasets gathering morphological, physiological and reactor performance information were created from three toxic shock loads (SL1 – 1.6 mgdetergent/L; SL2 – 3.1 mgdetergent/L; SL3 – 40 mgsolvent/L). The use of Principal Component Analysis (PCA) allowed the visualization of the main effects caused by the toxics, by clustering the samples according to its operational phase, exposure or recovery. The morphological parameters showed to be sensitive enough to detect the operational problems even before the COD removal efficiency decreased. Its high loadings in the plane defined by the first and second principal components, which gathers the higher variability in datasets, express the usefulness of monitor the biomass morphology in order to achieve a suitable control of the process. PCA defined a new latent variable t[1], gathering the most relevant variability in dataset, that showed an immediate variation after the toxics were fed to the reactors. t[1] varied 262, 254 and 80%, respectively in SL1, SL2 and SL3. Once more, the high weights of the morphological parameters associated with this new variable express its influence in shock load monitoring and control, and consequently in operational problems recognition. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/8114 |
ISBN: | 978-88-903557-0-7 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Artigos em Livros de Atas / Papers in Proceedings |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Costa_153[1].pdf | 529,46 kB | Adobe PDF | Ver/Abrir |