Application of multidimensional clustering for an assessment of pollutants removal from domestic wastewater using a filter with a plastic waste filling
Ewa Dacewicz , Krzysztof Chmielowski
AbstractThe paper discusses the effectiveness of pollutants removal from pre-treated domestic wastewater using a vertical-flow filter with a plastic-waste filling. Raw and treated wastewater samples were analyzed to assess the effectiveness of the removal of organic compounds (COD and BOD5), suspended solids, and nitrogen as N-NH4+ depending on the filter filling type and working volume. Multidimensional clustering, including the hierarchical and non-hierarchical method, proved to be an efficient source-data clustering tool. It was found that reduction of hardly biodegradable organic compounds, as indicated by COD, was the main criterion of affiliation to the respective clusters. The studies lasted for four months, and showed that operation of the filter filled with 0.5 V of the polyurethane foam sponge waste was characterized by the highest operating stability under varied organic loading rates (OLR) from 5.0 to 80.2 g COD·m−3·d-1). On average, COD, BOD5, suspended solids and N-NH4+ reductions for that filter type were 87.8%, 91.0%, 80.0%, and 74.1%, respectively. In the removal of hardly biodegradable organic compounds and suspended solids, comparable performance figures were recorded for poly(ethylene terephthalate) flakes at organic loading rate values of 3.05 g COD·m−3·d-1. In that case, average reductions of COD and suspended solids were 87.1%, and 84.0%, respectively.
|Journal series||Journal of Water Process Engineering, ISSN 2214-7144, e-ISSN 2214-7144, (N/A 100 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||Poly(ethylene terephthalate) flakes, Polyurethane foam sponge, Vertical-flow filter, Wastewater treatment|
|ASJC Classification||; ; ;|
|Publication indicators||= 0; : 2018 = 1.165; : 2018 = 3.173 (2) - 2018=3.688 (5)|
|Citation count*||2 (2020-03-27)|
|Oświadczenie o afiliacji||Autorzy|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.