Literature DB >> 24552716

The use of response surface methodology for modelling and analysis of water and wastewater treatment processes: a review.

Abhilash T Nair1, Abhipsa R Makwana1, M Mansoor Ahammed1.   

Abstract

In recent years, response surface methodology (RSM) has been used for modelling and optimising a variety of water and wastewater treatment processes. RSM is a collection of mathematical and statistical techniques for building models, evaluating the effects of several variables, and obtaining the values of process variables that produce desirable values of the response. This paper reviews the recent information on the use of RSM in different water and wastewater treatment processes. The theoretical principles and steps for its application are first described. The recent investigations on its application in coagulation-flocculation, adsorption, advanced oxidation processes, electro-chemical processes and disinfection are reviewed. The limitations of the methodology are highlighted. Attempts made to improve the RSM by combining it with other modelling techniques are also described.

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Year:  2014        PMID: 24552716     DOI: 10.2166/wst.2013.733

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  11 in total

1.  Advanced oxidation of commercial herbicides mixture: experimental design and phytotoxicity evaluation.

Authors:  Alejandro López; Andrea Coll; Maia Lescano; Cristina Zalazar
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-05       Impact factor: 4.223

2.  Operational parameters optimization for remediation of crude oil-polluted water in floating treatment wetlands using response surface methodology.

Authors:  Khadeeja Rehman; Muhammad Arslan; Jochen A Müller; Muhammad Saeed; Samina Anwar; Ejazul Islam; Asma Imran; Imran Amin; Tanveer Mustafa; Samina Iqbal; Muhammad Afzal
Journal:  Sci Rep       Date:  2022-03-16       Impact factor: 4.379

3.  Coagulant recovery from water treatment plant sludge and reuse in post-treatment of UASB reactor effluent treating municipal wastewater.

Authors:  Abhilash T Nair; M Mansoor Ahammed
Journal:  Environ Sci Pollut Res Int       Date:  2014-04-29       Impact factor: 4.223

4.  Optimizing COD removal from greywater by photoelectro-persulfate process using Box-Behnken design: assessment of effluent quality and electrical energy consumption.

Authors:  Mehdi Ahmadi; Farshid Ghanbari
Journal:  Environ Sci Pollut Res Int       Date:  2016-07-02       Impact factor: 4.223

5.  Electrochemical Oxidation of Resorcinol in Aqueous Medium Using Boron-Doped Diamond Anode: Reaction Kinetics and Process Optimization with Response Surface Methodology.

Authors:  Bahadır K Körbahti; Pelin Demirbüken
Journal:  Front Chem       Date:  2017-10-13       Impact factor: 5.221

6.  Dissolution of Silk Fibroin in Mixtures of Ionic Liquids and Dimethyl Sulfoxide: On the Relative Importance of Temperature and Binary Solvent Composition.

Authors:  Omar A El Seoud; Marc Kostag; Shirley Possidonio; Marcella T Dignani; Paulo A R Pires; Matheus C Lourenço
Journal:  Polymers (Basel)       Date:  2021-12-21       Impact factor: 4.329

7.  Ethyl Carbamate Formation from Cyanate in Model System of Ethanol-Water Media Using Response Surface Methodology.

Authors:  Tabu Mungia Magollah; Ji-Yeun Go; Hyo-Lim Kim; Su-Yeon Park; Seo-Yeon Kwon; Ji-Hyo Lee; Ji-Young Yang; Yang-Bong Lee
Journal:  Prev Nutr Food Sci       Date:  2022-03-31

8.  Bio-sorption of a bi-solute system of copper and lead ions onto banana peels: characterization and optimization.

Authors:  Felicia O Afolabi; Paul Musonge; Babatunde F Bakare
Journal:  J Environ Health Sci Eng       Date:  2021-03-08

9.  The Adsorptive Removal of Fluoride from Aqueous Solution by Modified Sludge: Optimization Using Response Surface Methodology.

Authors:  Ying Li; Shengke Yang; Qianli Jiang; Jie Fang; Wenke Wang; Yanhua Wang
Journal:  Int J Environ Res Public Health       Date:  2018-04-23       Impact factor: 3.390

10.  Data on modeling of UV/Na2S2O8/FeS2 process in amoxicillin removal using Box-Behnken methodology.

Authors:  Roshanak Rezaei Kalantary; Massuomeh Rahmatinia; Masoud Moradi
Journal:  Data Brief       Date:  2018-07-02
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