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Efects on nano zero-valent iron reactivity of interactions between hardness, alkalinity, and natural organic matter in reverse osmosis concentrate

Efects on nano zero-valent iron reactivity of interactions between hardness, alkalinity, and natural organic matter in reverse osmosis concentrate

作     者:Yuhoon Hwang Hang-Sik Shin 

作者机构:Department of Environmental Engineering Technical University of Denmark Department of Civil and Environmental Engineering Korea Advanced Institute of Science and Technology 

出 版 物:《Journal of Environmental Sciences》 (环境科学学报(英文版))

年 卷 期:2013年第25卷第11期

页      面:2177-2184页

核心收录:

学科分类:083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 08[工学] 

基  金:supported by the Program for the Construction of Eco Industrial Park, which was conducted by the Korea Industrial Complex Corporation and the Ministry of Knowledge Economy financially supported by the National Research Foundation of Korea grant funded by the Korea government Ministry of Education, Science and Technology (NRF2012M1A2A2026587) 

主  题:nitrate reduction concentrate treatment response surface method nano zero valent iron 

摘      要:Nanoscale zero-valent iron (NZVI) is considered to have potential to reduce nitrate in the concentrate generated by high pressure membrane processes aimed at water reuse. However, it is necessary to verify the effect of the matrix components in the concentrates on NZVI reactivity. In this study, the influence of hardness, alkalinity, and organic matter on NZVI reactivity was evaluated by the response surface method (RSM). Hardness (Ca/+) had a positive effect on NZVI reactivity by accelerating iron corrosion. In contrast, alkalinity (bicarbonate; HCO3) and organic matter (humic acid; HA) had negative effects on NZVI reactivity due to morphological change to carbonate green rust, and to competitive adsorption of HA, respectively. The validity of the statistical prediction model derived from RSM was confirmed by an additional confirmation experiment, and the experimental result was within the 95% confidential interval. Therefore, it can be indicated that the RSM model produced results that were statistically significant.

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