Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/16278
Título: Fish canning industry wastewater variability assessment using multivariate statistical methods
Autor: Cristóvão, Raquel O.
Pinto, Victor Miguel da Silva
Gonçalves, António
Martins, Ramiro
Loureiro, José M.
Boaventura, Rui
Palavras-chave: Fish canning wastewater
Wastewater variability
Principal component analysis
Cluster analysis
Correlation analysis
Multivariate statistical methods
Data: 2016
Citação: Cristóvão, Raquel O.; Pinto, Victor M.S.; Gonçalves, António; Martins, Ramiro; Loureiro, José M.; Boaventura, Rui A.R. (2016) - Fish canning industry wastewater variability assessment using multivariate statistical methods. Process Safety and Environment Protection. ISSN 0957-5820. 102, p. 263-276
Resumo: Usually, fish canning industrial wastewaters have a highly variable composition over time. For a good performance of treatment processes it is necessary to limit that variation. However, extended wastewater monitoring, including all relevant analytical parameters, is expensive. This work proposes an efficient approach to minimize the analytical determina-tions number without compromising the global characterization goal. This way, fish canning industry wastewaters variability was assessed and interpreted through multivariate statistical tools application to analytical data obtained from a monitoring program carried out in a fish canning industry of northern Portugal. 23 physicochemical parameters were determined in 20 samples collected on an 8 months period. The results achieved by correlation analysis, principal component analysis (PCA) and cluster analysis (CA) led to the main water pollution sources identification and to the minimization of physical and chemical parameters number to be analyzed in order to achieve a correct wastewater characterization, at minimum cost. The main pollution sources proved to be the brine and eviscerating step waters. Dissolved organic carbon (DOC), total suspended solids (TSS), conductivity, pH, Ca2+, F−and one of the parameters SO4 ,NO3 and PO4 were identified as important parameters that must be monitored in order to obtain an accurate characterization allowing to define themost appropriate wastewater treatment.
Peer review: yes
URI: http://hdl.handle.net/10198/16278
DOI: 10.1016/j.psep.2016.03.016
ISSN: 0957-5820
Aparece nas colecções:ESTiG - Artigos em Revistas Indexados à WoS/Scopus

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