Abstract

The aim of this work was to design a quick and reliable method for the evaluation and classification of wastewater streams into treatable and non-treatable effluents for reuse/recycling. Different chemometric methods were used for this purpose handling the enormous amount of data, and additionally to find any hidden information, which would increase our knowledge and improve the classification. The data obtained from the processes description, together with the analytical results of measured parameters' characterising the wastewater of a particular process, enabled us to build a fast-decision model for separating different textile wastewater outlets. Altogether 49 wastewater samples from the textile finishing company were analysed, and 19 different physical chemical measurements were performed for each of them. The resulting classification model was aimed at an automated decision about the choice of treatment technologies or a prediction about the reusability of wastewaters within any textile finishing or other company having similar characteristics of wastewater streams.

Keywords

finishing wastewater;chemomterics;multivariate data analysis;wastewater treatment;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FKKT - Faculty of Chemistry and Chemical Engineering
UDC: 543.544:677
COBISS: 16958742 Link will open in a new window
ISSN: 1318-0207
Views: 1399
Downloads: 53
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary abstract: Namen dela je postaviti hitro in zanesljivo metodo za ovrednotenje in klasifikacijo odpadnih vod v takšne, ki jih lahko obdelamo in ponovno uporabimo in takšne, ki jih ne moremo obdelati. Za obdelavo velike količine podatkov smo uporabili različne kemometrijske metode, s katerimi smo poiskali skrite informacije, ki pripomorejo k povečanju znanja in izboljšanju klasifikacije. Podatki o procesih skupaj z analitskimi rezultati merjenih parametrov, ki opisujejo odpadno vodo iz posameznega procesa, omogočajo zgraditi model hitre odločitve za ločevanje različnih iztokov tekstilnih odpadnih vod. V 49 vzorcih odpadnih vod tekstilne tovarne smo analizirali 19 različnih fizikalno kemijskih parametrov. Klasifikacijski model daje možnost avtomatskega odločanja o izbiri tehnologije čiščenja ali o napovedi ponovne uporabe odpadnih vod v kateri koli tekstilni ali drugi tovarni, kjer imajo odpadne vode podobne karakteristike.
Secondary keywords: odpadne vode;čiščenje odpadnih voda;tekstilna industrija;kemometrijske metode;
URN: URN:NBN:SI
Type (COBISS): Scientific work
Pages: str. 375-382
Volume: ǂVol. ǂ60
Issue: ǂno. ǂ2
Chronology: 2013
Keywords (UDC): mathematics;natural sciences;naravoslovne vede;matematika;chemistry;crystallography;mineralogy;kemija;analytical chemistry;analizna kemija;physicochemical methods of analysis (other than optical methods);applied sciences;medicine;technology;uporabne znanosti;medicina;tehnika;various industries;trades and crafts;razne industrije;obrti in rokodelstva;textile industry;tekstilna industrija;
ID: 1439556