Correlation analysis of pollutant factors influencing the sulfite/UV-L advanced reduction process

Mei Qiwen, Ki Hoon Kim, Ihnsup Han

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


In this study, factors that influenced the process of trichloroethylene (TCE) degradation using the sulfite/UV-L Advanced Reduction Process (ARP) were analyzed, as well as the interrelation of these factors, the correlation between factors, and the trichloroethylene (TCE) degradation efficiency. Four factors were evaluated: pH, reductive reagent (sulfite) concentration, UV254 intensity, and trichloroethylene (TCE) concentration. The efficiency of trichloroethylene (TCE) degradation by the sulfite/UV-L Advanced Reduction Process (ARP) increased as the initial pH increased. Considering economy, pH 10 was decided as the optimum condition. The trichloroethylene (TCE) degradation efficiency by sulfite/UV-L Advanced Reduction Process (ARP) also increased with increasing sulfite concentration. According to the experimental results, the optimum sulfite concentration to treat 10 mM of the trichloroethylene (TCE) was 10 mg/L. The degradation efficiency of the trichloroethylene (TCE) also increased as the intensity of UV254 radiation was increased. Higher initial concentrations of trichloroethylene (TCE) resulted in decreased degradation efficiency. All the factors also been analyzed using multiple regression carried out by the program SPSS (ver. 22). The pH seemed to have a high correlation with looking pearson coefficient. It is most important to consider the influence of pH when using sulfite/UV-L Advanced Reduction Process (ARP). The initial concentration of trichloroethylene (TCE) seemed to have the most relevance by looking pearson coefficient, followed by pH and UV254. The regression model seemed to be appropriate, having a value (0.000), which was much lower than the significance level (0.05), and the correlation coefficient (R2) of 0.816 describes the power elimination rate of trichloroethylene (TCE).

Original languageEnglish
Pages (from-to)475-481
Number of pages7
JournalKSCE Journal of Civil Engineering
Issue number2
StatePublished - 1 Feb 2018


  • UV-L (254 nm)
  • advanced reduction process
  • aqueous electron (e )
  • multiple regression analysis
  • sulfite
  • trichloroethylene (TCE)


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