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The Study of Statistical Optimization of NDMA Treatment using UV-Process  

Song, Won-Yong (Department of Environmental Engineering, Kyonggi University)
Chang, Soon-Woong (Department of Environmental Engineering, Kyonggi University)
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Abstract
The aim of this research was to apply experimental design methodology to optimizetion the photolytic degradation of N-nitrosodimethylamine (NDMA). Reactions were mathematically described as a function of parameters such as pH, initial NDMA concentration, and UV intensity using the Box-Behnken method. The results showed that the responses of NDMA removal (%) in photolysis were significantly affected by the synergistic effect of linear term of pH, initial NDMA concentration and UV intensity. The application of Response Surfase Methodology (RSM) using the Box-Behnken method yielded the following regression equation, which is an empirical relationship between the removal (%) of NDMA and test variables in coded unit: Y = 50.929 + 16.073(UV) - 7.909(NDMA) - 27.432(pH) - 11.385(UV)(NDMA) - 7.363(UV)(pH) +13.811(NDMA)(pH). The model predictions agreed well with the experimentally observed result ($R_2(ad.)=89%$).
Keywords
Box-Behnken; N-nitrosodimethylamine (NDMA); Optimization; UV;
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Times Cited By KSCI : 5  (Citation Analysis)
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