Dataset on statistical reduction of COD by electrocoagulation process using RSM
| Autor: | Chandrakant Thakur, Parmesh Kumar Chaudhari, Neela Acharya |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Pollutant
0303 health sciences Multidisciplinary Central composite design Domestic sewage business.industry medicine.medical_treatment RSM Sewage Chemical Engineering Pulp and paper industry Electrocoagulation Reduction (complexity) 03 medical and health sciences 0302 clinical medicine Wastewater Batch processing medicine Environmental science Response surface methodology business 030217 neurology & neurosurgery CCD 030304 developmental biology |
| Zdroj: | Data in Brief |
| ISSN: | 2352-3409 |
| DOI: | 10.1016/j.dib.2019.104944 |
| Popis: | Viable and low treatment cost is a challenge for municipal wastewater, therefore, an efficient and cost effective electrocoagulation (EC) process was studied to treat domestic sewage (DS) in laboratory batch process using SS-304 as electrode material. Effects of various parameters like pH, current density (CD), electrode configuration in numbers and treatment time (tR) were tested to find optimum operating condition for COD and other pollutants removal. The experiments were also planned to optimize the operating parameters through response surface methodology (RSM) based central composite design (CCD) which gave 77.78% COD reduction at CD = 27.78 A/m2 and tR = 20 min respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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