Surface Complexation Modeling of Toxic Elements to Aluminum Hydroxidefor Process Optimization of Wastewater Treatment

Canadian Institute of Mining, Metallurgy and Petroleum
Chiharu Tokoro Tatsuya Kato Kenichi Muto Taisuke Sakakibara Shinya Suzuki
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
11
File Size:
1440 KB
Publication Date:
Jan 1, 2015

Abstract

Surface complexation using a diffuse layer model were constructed for arsenic (As(V)), zinc (Zn(II)) and silicate (Si(IV)) for aluminum hydroxide in the co-precipitation process. From experimental investigations using isotherms, zeta potential measurement and XRD analysis, it was confirmed that co-precipitation involved not only surface complexation but also surface precipitation. However, surface complexation was major mechanism for As(V), Zn(II) and Si(IV) removal under the target removal level of the Japanese effluent standard. In surface complexation modeling, exchange capacity of aluminum hydroxide was determined from specific surface area obtained from experimental measurement and site density obtained from reference. Surface complexation coefficients were determined by fitting the removal property and sorption isotherm obtained from co-precipitation experiments. These parameters were in agreement with the numerical parameters found by Karamalidis and Dzombak (2010) who reported a database of adsorption equilibrium constants for gibbsite. The surface complexation models constructed in this study were applied to neutralization process of an actual AMD treatment. Our model could successfully represent the pH edges for As(V), Zn(II) and Si(IV) in the neutralization of AMD.
Citation

APA: Chiharu Tokoro Tatsuya Kato Kenichi Muto Taisuke Sakakibara Shinya Suzuki  (2015)  Surface Complexation Modeling of Toxic Elements to Aluminum Hydroxidefor Process Optimization of Wastewater Treatment

MLA: Chiharu Tokoro Tatsuya Kato Kenichi Muto Taisuke Sakakibara Shinya Suzuki Surface Complexation Modeling of Toxic Elements to Aluminum Hydroxidefor Process Optimization of Wastewater Treatment. Canadian Institute of Mining, Metallurgy and Petroleum, 2015.

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