EFFECTS OF SOME OPERATIONAL CONDITIONS ON TEXTILE WASTEWATER TREATMENT: FULL SCALE STUDIES

Author(s):  
Dilek AKMAN ◽  
Sebnem OZDEMIR ◽  
Serden BASAK ◽  
Kevser CIRIK ◽  
Erkan SAHINKAYA
2012 ◽  
Vol 66 (7) ◽  
pp. 1392-1398 ◽  
Author(s):  
A. M. Lotito ◽  
U. Fratino ◽  
A. Mancini ◽  
G. Bergna ◽  
C. Di Iaconi

The textile industry releases highly polluted and complex wastewaters, which are difficult to treat and require numerous treatment steps. Innovative technologies for on-site treatment at each factory would permit cost reduction. For this reason, we ran a laboratory-scale study to assess the suitability of a sequencing batch biofilter granular reactor (SBBGR) for textile wastewater treatment, testing four different types of wastewater. Results demonstrate that wastewater characteristics greatly affect the reactor efficiency. Hence, a pre-study is advisable to define the best operational conditions and the maximum treatment capability for the wastewater under analysis. Nevertheless, SBBGR is a valuable biological treatment, effective in the reduction of pollutant load with stable performances despite the variability in wastewater composition. Tests with ozone integration have demonstrated that it is possible to dose small quantities of ozone to obtain an effluent suitable for direct discharge. However, a dynamic ozone dosage should be used to optimize the process as the correct ozone dose strongly depends on the wastewater composition.


2016 ◽  
Vol 21 (4) ◽  
Author(s):  
ZAHARIA CARMEN

<p>Nowadays, an interdisciplinary field of engineering that focuses on analytical and/or empirical models represented by mathematical, data-driven and biotic structures combined with physical, biological and ecological processes in water, air and eco-systems is developing, <em>i.e.</em> environmental system engineering (ESE). In this system, environmental modeling and process optimization acts together for solving problems with environmental systems, especially for minimizing pollution, or eco-toxicological effects.</p><p>The present paper proposes the study of modeling and optimization of an environmental system (<em>i.e</em>. textile wastewater treatment system based on sorption onto indigene peat) for its discoloration (consequently, decreasing of color, organic and inorganic loads of effluent discharged in aquatic receptor, or inside reused). All performed laboratory tests consisted in 22 hours-sorption experiments onto peat applied for a real colored textile effluent, organized with respecting of an empirical planning by a central active composite rotatable 2<sup>3</sup> order design, considering as independent variables the peat dose (X<sub>1</sub>), pH (X<sub>2</sub>), and temperature (X<sub>3</sub>), and as optimization criterion, or decision function, the discoloration degree, or color removal (Y, [%]). The mathematical model was found adequate for the textile wastewater treatment, and the optimal operational conditions for highest discoloration efficiency were proposed.</p>


2015 ◽  
Vol 21 (4) ◽  
pp. 68-78
Author(s):  
CARMEN ZAHARIA

Nowadays, an interdisciplinary field of engineering that focuses on analytical and/or empirical models represented by mathematical, data-driven and biotic structures combined with physical, biological and ecological processes in water, air and eco-systems is developing, i.e. environmental system engineering (ESE). In this system, environmental modeling and process optimization acts together for solving problems with environmental systems, especially for minimizing pollution, or eco-toxicological effects. The present paper proposes the study of modeling and optimization of an environmental system (i.e. textile wastewater treatment system based on sorption onto indigene peat) for its discoloration (consequently, decreasing of color, organic and inorganic loads of effluent discharged in aquatic receptor, or inside reused). All performed laboratory tests consisted in 22 hours-sorption experiments onto peat applied for a real colored textile effluent, organized with respecting of an empirical planning by a central active composite rotatable 23 order design, considering as independent variables the peat dose (X1), pH (X2), and temperature (X3), and as optimization criterion, or decision function, the discoloration degree, or color removal (Y, [%]). The mathematical model was found adequate for the textile wastewater treatment, and the optimal operational conditions for highest discoloration efficiency were proposed.


2021 ◽  
Vol 270 ◽  
pp. 118819
Author(s):  
Nur Azizah Johari ◽  
Norhaniza Yusof ◽  
Woei Jye Lau ◽  
Norfadhilatuladha Abdullah ◽  
Wan Norharyati Wan Salleh ◽  
...  

2020 ◽  
Vol 272 ◽  
pp. 111082
Author(s):  
Laís G.M. Silva ◽  
Francisca C. Moreira ◽  
Maria Alice P. Cechinel ◽  
Luciana P. Mazur ◽  
Antônio A. Ulson de Souza ◽  
...  

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