scholarly journals Ultrasound-Assisted Synthesis of Nonmetal-Doped Titanium Dioxide Photocatalysts for Simultaneous H2 Production and Chemical Oxygen Demand Removal from Industrial Wastewater

ACS Omega ◽  
2021 ◽  
Vol 6 (38) ◽  
pp. 24709-24719
Author(s):  
Natjakorn Jandam ◽  
Karn Serivalsatit ◽  
Mali Hunsom ◽  
Kejvalee Pruksathorn
Keyword(s):  
Titanium Dioxide ◽  
Chemical Oxygen Demand ◽  
Industrial Wastewater ◽  
Oxygen Demand ◽  
H2 Production ◽  
Chemical Oxygen Demand Removal ◽  
Ultrasound Assisted ◽  
Doped Titanium Dioxide

scholarly journals APPLICATION OF RESPONSE SURFACE METHODOLOGY (RSM) - REDUCTION OF INDUSTRIAL WASTEWATER CHEMICAL OXYGEN DEMAND

2017 ◽  
Vol 5 ◽  
pp. 1226-1232 ◽  
Author(s):  
Emmanuel Kweinor Tetteh ◽  
Sudesh Rathilal
Keyword(s):  
Response Surface Methodology ◽  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Industrial Wastewater ◽  
Oxygen Demand ◽  
Chemical Oxygen Demand Removal ◽  
Oil Refineries ◽  
Study Results ◽  
Input Variables

Industrial waste oil in water from oil refineries and petrochemical processing poses a major environmental concern. Environmental pollution from these wastewaters is increasing and will continue to rise due to a growing demand for petrochemical products and energy. The composition of these industrial wastes varies from location to location as well as with manufacturing processes. In terms of water quality issues, chemical oxygen demand is considered one of the most problematic in oil refinery wastewater treatment. This study applies the response surface methodology to obtain a response model for industrial wastewater treatment. Operating parameters are optimized to enhance the treatment performance. The study, focusing on the effects of input variables for chemical oxygen demand removal, was experimentally carried out using dissolved air floatation jar tests. The experimental matrix incorporated the Box-Behnken design in the response surface methodology. In addition, the procedure evaluated the effect of the input variables and their interactions to obtain the optimum condition for the extent of efficiency. The results show that the chemical oxygen demand removal was sensitive to the effect of the input variables and their interactions. The statistical analysis established that the quadratic model was highly significant with a low probability (< 0.0001), indicating that the correlated regression scattering was unlikely random. The predicted model results corresponded well to the experimental results, with a coefficient of determination close to 1.0. The response surface of the model is presented in three-dimensional plots. These study results show that the addition of a coagulant to remove chemical oxygen demand is effective under acidic conditions when response surface methodology is applied.

REMOVAL OF DYE AND CHEMICAL OXYGEN DEMAND (COD) REDUCTION FROM TEXTILE INDUSTRIAL WASTEWATER USING HYBRID BIOREACTORS

2014 ◽  
Vol 13 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Ghasem Najafpour Darzi ◽  
Reza Katal ◽  
Hossein Zare ◽  
Seyed Omid Rastegar ◽  
Poorya Mavaddat
Keyword(s):  
Chemical Oxygen Demand ◽  
Industrial Wastewater ◽  
Oxygen Demand ◽  
Cod Reduction

scholarly journals New ultrasound assisted chemical oxygen demand determination

2002 ◽  
Vol 9 (3) ◽  
pp. 143-149 ◽  
Author(s):  
Antonio Canals ◽  
Angel Cuesta ◽  
Luis Gras ◽  
Ma Remedios Hernández
Keyword(s):  
Chemical Oxygen Demand ◽  
Oxygen Demand ◽  
Ultrasound Assisted

Chemical Oxygen Demand Removal from Wastewater by Integrated Bioreactor

2015 ◽  
Vol 8 (5) ◽  
pp. 238-243 ◽  
Author(s):  
Ezerie Henry Ezec ◽  
Shamsul Rahman Bin Mohamed Ku ◽  
Mohamed Hasnain Is ◽  
Amirhossein Malakahmad ◽  
Salihi Umar Ibrahim
Keyword(s):  
Chemical Oxygen Demand ◽  
Oxygen Demand ◽  
Chemical Oxygen Demand Removal ◽  
Integrated Bioreactor
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