Abstract
The aim of this work is focused on water quality classification of the textile waste water streams and evaluation of pollution. Data from the chemical characterization of the effluents were elaborated to identify a useful separation in potentially treatment for reuse. This was done with the aim of realizing a full scale characterization of effluents. In the two textile companies analyzed, machineries are used to carry out different production processes such as sizing and desizing, weaving, scouring, bleaching, mercerizing, carbonizing, fulling, dying and finishing. Different process effluents from the same machinery were found to be very diverse in pollution level. 25 and 49 samples of textile waste waters from two different textile companies were analysed and physical chemical measurements were performed. The following physicochemical and chemical water quality parameters were controlled: absorbance measured at three different wavelengths, pH, conductivity, turbidity, total suspended solids, volatile suspended solids, chemical oxygen demand, metals content (Ba, Ca, Cu, Mn, K, Sr, Fe, Al, Na) and total nitrogen content. For
 handling the results, basic statistical methods for the determination of mean and median values, standard deviations, minimal and maximal values of measured parameters and their mutual correlation coefficients, were performed. Different chemometric methods, namely, principal component analysis (PCA), cluster analysis (CA), and linear discriminant analysis (LDA) were used to find hidden information about textile waste water quality.
Highlights
The chemical and physicochemical studies on textile waste water streams from two textile companies were performed in the time period 2008-2009
The aim of this work is to find the correlation between different textile process outlets and the variables obtained by physicochemical and chemical measurements, which can be used to construct a fast decision model for separating different textile waste water quality outlets
The maximal correlation coefficient for the data of 49 waste water samples from second textile company was found between measurements of absorbance at 525 nm and absorbance at 436 nm (r = 0.99), between measurements of sodium content and electrical conductivity (r = 0.98), between total suspended solids and volatile suspended solids (r = 0.98), between potassium and manganese (r = 0.90), between absorbance at 620 nm and calcium (r = 0.86), and between absorbance at 436 nm and sodium (r = 0.86)
Summary
The chemical and physicochemical studies on textile waste water streams from two textile companies were performed in the time period 2008-2009. The quality of the textile waste water streams was followed and the classification has been made according to different textile process outlets. The classification is based on 19 chemical and physicochemical parameters. The aim of this work is to find the correlation between different textile process outlets and the variables obtained by physicochemical and chemical measurements, which can be used to construct a fast decision model for separating different textile waste water quality outlets
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