Department of Environmental Engineering, Technical University of Denmark, MiljoFvej, Building 113, DK-2800 Kgs. Lyngby, Denmark.
Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 305-701, Korea.
J Environ Sci (China). 2013 Nov 1;25(11):2177-84. doi: 10.1016/s1001-0742(12)60323-4.
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 (Ca2+) had a positive effect on NZVI reactivity by accelerating iron corrosion. In contrast, alkalinity (bicarbonate; HCO-3) 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.
纳米零价铁（NZVI）被认为具有降低旨在水再利用的高压膜工艺产生的浓缩物中硝酸盐的潜力。然而，有必要验证浓缩物中基质成分对 NZVI 反应性的影响。在这项研究中，通过响应面法（RSM）评估了硬度、碱度和有机物对 NZVI 反应性的影响。硬度（Ca2+）通过加速铁腐蚀对 NZVI 反应性有积极影响。相比之下，碱度（碳酸氢盐；HCO-3）和有机物（腐殖酸；HA）由于形态变化为碳酸盐绿锈，以及 HA 的竞争吸附，对 NZVI 反应性有负面影响。通过附加的确认实验证实了源自 RSM 的统计预测模型的有效性，并且实验结果在 95%置信区间内。因此，可以表明 RSM 模型产生了具有统计学意义的结果。
