dc.contributor.author |
Firomsa , Firomsa , Endrias Adane, Werkne Sorsa,Bidiraa , Bekele, Muleta |
|
dc.date.accessioned |
2025-02-13T06:33:36Z |
|
dc.date.available |
2025-02-13T06:33:36Z |
|
dc.date.issued |
2024-06-27 |
|
dc.identifier.citation |
Firdous Mohammed, Jemal Jibril , Alemineh Sorsa, Chemeda Alemu , and Dekebi Chakeri |
en_US |
dc.identifier.uri |
https://repository.ju.edu.et//handle/123456789/9369 |
|
dc.description.abstract |
The presence of chromium (Cr) in synthetic wastewater has become a serious environmental issue. Therefore, main aim of this work was to investigate Cr removal from synthetic wastewater via electrocoagulation (EC) with a natural coagulant using aluminum electrodes. The central composite design (CCD) of the response surface methodology (RSM) method was used to optimized the operating variables of solution pH (5 – 9), initial Cr concentration (225 – 475 mgL-1), reaction time (30 – 40 min), and applied current (0.35 – 0.55 A). The ANOVA results clearly shows that the quadratic model (p < 0.0001) was sufficient to the best predicting of the removal performance of Cr (R2 = 0.9994 for electrode distance of 0.5 cm and 0.9924 for 1 cm). The maximum removal (99.836 % for electrode distance of 0.5 cm, and 98.175 % for 1 cm) of Cr was achieved with optimized conditions of solution pH 7.053, initial Cr concentration 337.795 mg1 , reaction time 37.148 min, and applied current of 0.505 A. From this finding, it was proved that the EC process assisted with natural coagulant is an efficient, and cost-effective method for the removal of Cr from synthetic wastewater. |
en_US |
dc.publisher |
Advances in Civil Engineering |
en_US |
dc.relation.ispartofseries |
Contents lists available at ScienceDirect;Heliyon 10 (2024) e39234 |
|
dc.subject |
Electrocoagulation Natural coagulant Wastewater Response surface methodology Central composite design |
en_US |
dc.title |
Optimizing chromium removal from synthetic wastewater via electrocoagulation process with a natural coagulant (blended of eggshell powder and lime) using response surface methodology |
en_US |
dc.type |
Article |
en_US |