Hamed Bagheri - Ph.D. student of Department of Chemical Engineering, Faculty of Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
Bizhan Honarvar - Associate Professor of Department of Chemical Engineering, Faculty of Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran,
Zahra Arab Aboosadi - Associate Professor of Department of Chemical Engineering, Faculty of Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran,
Nadia Esfandiari - Associate Professor of Department of Chemical Engineering, Faculty of Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran

Multivariate optimization and modeling of gas refinery wastewaters treatment were performed via an adsorption mechanism utilizing activated carbon (AC) as an adsorbent. The adsorbent was characterized by SEM, FT-IR, and XRD. The specific surface area of AC was calculated as high as ۸۹۷ m۲ g-۱ by BET&BJH. The effect of AC dosage, treatment time, temperature, and pH were optimized by multivariate optimization utilizing Design-Expert software by a response surface method upon CCD design for two wastewaters of gas refineries. The method showed a COD removal of ۹۳.۰% and ۸۷.۰% for wastewaters of output and input of the gravity pool of the API, in turn. The adsorption process followed the first-order kinetics for the COD removal from the input wastewater of the gravity pool of the API and a zero-order model for the COD removal from its output wastewater. The authors strongly recommended the method for large scale wastewaters treatment

Gas refinery wastewaters; Activated carbon; Multivariate optimization; Response surface method; Adsorbent; Water treatment