Formulation and optimization of biological removal of flue gas pretreatment wastewater and sulfur recycling process by Box-Behnken design

The aim of this study was to investigate optimum conditions for biological removal of flue gas pretreatment wastewater and achieve maximum elemental sulfur yield. A three-factor, three-level Box-Behnken design was used to derive a second-order polynomial equation and construct contour plots to predi...

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Publié dans:Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 67(2013), 12 vom: 21., Seite 2706-11
Auteur principal: Wang, Juan (Auteur)
Autres auteurs: Cao, Yuan, Zhong, Qin
Format: Article en ligne
Langue:English
Publié: 2013
Accès à la collection:Water science and technology : a journal of the International Association on Water Pollution Research
Sujets:Journal Article Air Pollutants Gases Industrial Waste Water Pollutants, Chemical Sulfur 70FD1KFU70
Description
Résumé:The aim of this study was to investigate optimum conditions for biological removal of flue gas pretreatment wastewater and achieve maximum elemental sulfur yield. A three-factor, three-level Box-Behnken design was used to derive a second-order polynomial equation and construct contour plots to predict responses. The independent variables selected were hydraulic retention time (X₁), inlet sulfate concentration (X₂), and air flow (X₃). Fifteen batches were done in a biological united system and evaluated for elemental sulfur yield (Y₁). The transformed values of the independent variables and Y₁ were subjected to a full-model second-order polynomial equation. The equation was modified based on Fisher's F- and probability P-values. The computer optimization process and contour plots predicted the values of independent variables X₁, X₂ and X₃ (16 h, 1,348 mg L⁻¹ and 165 L h⁻¹ respectively), for maximized response of Y₁. The experimental results at predicted conditions demonstrate that the modified model equation has good applicability to the practical system
Description:Date Completed 22.08.2013
Date Revised 21.11.2013
published: Print
Citation Status MEDLINE
ISSN:0273-1223
DOI:10.2166/wst.2013.175