2018
DOI: 10.1080/03601234.2018.1431468
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Subcritical water oxidation of propham by H2O2using response surface methodology (RSM)

Abstract: This study was conducted to investigate the degradation of propham, which is a compound that pollutes water and seriously threatens human health, by subcritical water oxidation and using HO as an oxidising agent. The maximum total organic carbon removal rate of propham was obtained as 73.65% at 40 min of treatment time and 60 mM of HO concentration and 373 K of temperature. In addition, response surface method based on the Box-Behnken design was applied to design the degradation experiments of propham for dete… Show more

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Cited by 19 publications
(5 citation statements)
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“…The response surface method (RSM) is one of the most important statistical methods which is used for the mentioned purpose by researchers. The central composite design (CCD) is a well-known secondorder RSM model which is needed quite a few numbers of design points while providing a reasonable amount of information for testing lack of fit of the experimental model [39][40][41][42][43][44][45].…”
Section: Introductionmentioning
confidence: 99%
“…The response surface method (RSM) is one of the most important statistical methods which is used for the mentioned purpose by researchers. The central composite design (CCD) is a well-known secondorder RSM model which is needed quite a few numbers of design points while providing a reasonable amount of information for testing lack of fit of the experimental model [39][40][41][42][43][44][45].…”
Section: Introductionmentioning
confidence: 99%
“…Table 5 shows the standard fit statistics. The R 2 (0.97) and adjusted R 2 (0.94) difference is 0.2, indicating that the RSM model produced is connected to tangible outcomes [51].…”
Section: Resultsmentioning
confidence: 99%
“…Response surface methodology (RSM) is a statistical method for solving multivariable problems by using a reasonable experimental design method and obtaining certain data through experiments. For this purpose, a multiple quadratic regression equation is used to fit the functional relationship between the factors and response values, and the optimal process parameters are determined through analysis of the regression equation ( Bezerra et al, 2008 ; Yemi and Mazza, 2012 ; Gaidoumi et al, 2019 ; Yabalak et al, 2018 ). The Box-Behnken design (BBD) software, which is a quadratic response surface, has been applied to approximate a response function for experimental data that cannot be described by linear functions ( Seo and Han, 2014 ).…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%