2016
DOI: 10.1016/j.psep.2016.03.016
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Fish canning industry wastewater variability assessment using multivariate statistical methods

Abstract: Fish canning wastewaterWastewater variability Principal component analysis Cluster analysis Correlation analysisMultivariate statistical methods a b s t r a c t 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… Show more

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Cited by 19 publications
(15 citation statements)
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“…Depending on the processed fish product (tuna, mussels, etc.) and seasonal variations, the generated waste streams show different compositions [1,2]. In fact, effluents with distinct qualities and flows may be produced even in the same facility, depending on the processing steps, challenging its adequate treatment [3,4].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Depending on the processed fish product (tuna, mussels, etc.) and seasonal variations, the generated waste streams show different compositions [1,2]. In fact, effluents with distinct qualities and flows may be produced even in the same facility, depending on the processing steps, challenging its adequate treatment [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…In fact, effluents with distinct qualities and flows may be produced even in the same facility, depending on the processing steps, challenging its adequate treatment [3,4]. The high loaded wastewaters generated in these facilities often contain chemical oxygen demand (COD) concentrations up to 42 g COD/L characterized by its high complexity with not only easily-biodegradable carbohydrates but also relevant protein fractions (15-20% of wet weight), and lipids (0.1-44 g/L) [2,5].…”
Section: Introductionmentioning
confidence: 99%
“…The obtained results are only partially consistent with the results of Principal Component Analysis, which not identify exactly the same grouping. The statistical methods used in this research generally were, according to other authors, more useful in the analysis of the composition of wastewater in industry, WWTPs, and in the selection of optimal solutions in the wastewater management [49,54,55]. The use of this type of analysis as tools useful in wastewater management for a large city would require a much wider measurement campaign, both in terms of the number of sampling points and the frequency of tests.…”
Section: Multivariate Statistical Analysismentioning
confidence: 97%
“…Two methods were used: Principal Component Analysis (PCA) and Cluster Analysis (CA). Both methods are often applied to assess the composition of water and wastewater, to establish relationships between quality parameters and to identify sources of pollution [31,[47][48][49][50][51][52]. The analysis was based on the median of quality parameters for all wastewater sampling points in dry and wet weather, and separately for dry weather only.…”
Section: Multivariate Statistical Analysismentioning
confidence: 99%
“…Recently, there has been an increase in the number of fish canneries around the world. Wastewater produced in this type of industry varies considerably depending on the production, the type of fish and the process used (Cristóvã o et al, 2016). The main environmental problems related to canning fish is that it consumes a lot of water and produces huge volumes of liquid effluents rich in organic matter, oil and fat and salt.…”
Section: Introductionmentioning
confidence: 99%