Response surface methodology investigation into the interactions between arsenic and humic acid in water during the coagulation process.
Response surface methodology investigation into the interactions between arsenic and humic acid in water during the coagulation process.
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DOI：
10.1016/j.jhazmat.2016.03.002
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发表时间：
2016-07
影响因子：
13.6
通讯作者：
M. Watson;A. Tubić;J. Agbaba;Jasmina Nikić;S. Maletić;J. Molnar Jazić;B. Dalmacija
中科院分区：
文献类型：
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作者：
M. Watson;A. Tubić;J. Agbaba;Jasmina Nikić;S. Maletić;J. Molnar Jazić;B. Dalmacija
砷和天然有机物 (NOM) 之间的相互作用是优化饮用水处理过程中的关键限制因素，因为必须去除大量的砷和天然有机物。这项工作使用响应面法 (RSM) 来研究它们在氯化铁凝结同时去除过程中如何相互作用，并使用腐植酸 (HA) 作为模型 NOM 物质。使用三因素 Box-Behnken 实验设计，对 As 和 HA 去除以及组合去除响应进行了建模。方差分析结果显示了凝血剂剂量对于所有三种反应的重要性。在较高的初始砷浓度 (200 µg/l) 下，HA 的存在显着阻碍了 As 的去除。相比之下，HA 去除反应在很大程度上与初始 As 浓度无关，随着 HA 浓度的增加，最佳混凝剂剂量也随之增加。组合响应与 HA 去除响应相似，并且在饮用水制备过程中优化处理过程方面，明显的相互作用是最有趣的，凸显了利用 RSM 进行此类研究的重要性。组合响应模型成功地通过塞尔维亚共和国用于饮用水供应的两种不同地下水进行了验证，在类似的实验条件下表现出极好的一致性。
Interactions between arsenic and natural organic matter (NOM) are key limiting factors during the optimisation of drinking water treatment when significant amounts of both must be removed. This work uses Response Surface Methodology (RSM) to investigate how they interact during their simultaneous removal by iron chloride coagulation, using humic acid (HA) as a model NOM substance. Using a three factor Box-Behnken experimental design, As and HA removals were modelled, as well as a combined removal response. ANOVA results showed the significance of the coagulant dose for all three responses. At high initial arsenic concentrations (200 μg/l), As removal was significantly hindered by the presence of HA. In contrast, the HA removal response was found to be largely independent of the initial As concentration, with the optimum coagulant dose increasing at increasing HA concentrations. The combined response was similar to the HA removal response, and the interactions evident are most interesting in terms of optimising treatment processes during the preparation of drinking water, highlighting the importance of utilizing RSM for such investigations. The combined response model was successfully validated with two different groundwaters used for drinking water supply in the Republic of Serbia, showing excellent agreement under similar experimental conditions.