• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Desalination and water treatment >Synthesis and comparison of spent caustic wastewater photocatalytic treatment efficiency with zinc oxide composite
【24h】

Synthesis and comparison of spent caustic wastewater photocatalytic treatment efficiency with zinc oxide composite

机译：氧化锌复合材料对苛性废废水的光催化合成与比较

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this research, the photocatalytic process is used for the treatment of spent caustic wastewater from petrochemical industries. For this purpose, by use of two types of synthetic photocatalyst (synthetic zinc oxide (ZnO-Syn) and combined (composite) zinc oxide with Fe (ZnO-Fe3O4)) in a photoreactor, and measuring removal percentage of chemical oxygen demand (COD), results are modeled with the design of experiment (DOE) and artificial neural network (ANN) methods. According to the implemented calculations, it can be concluded that the ANN is a more suitable method than the DOE in modeling and forecasting the amount of COD. Modeling of this research showed that increasing the concentration of ZnO-Fe3O4 and ZnO-Syn photocatalyst in a state of neutral pH, in optimal amount of 1.08 and 1.29 g/L, leads to enhance the COD removal up to 88% and 74% without restrictions, respectively, and also 2 g/L for both of them with restrictions leads to 80% and 69% removal efficiency, respectively. In addition, the study of the parameters' effects, including oxidizer amount, aeration rate, pH and the amount of loaded catalyst, indicate that all factors except pH have had positive effect on the model. Also, photocatalyst acidic pH is more suitable at low concentrations of the photocatalyst. Besides that, by increasing pH, the efficiency of removal will be reduced when oxidant is at its low level. The results showed that photolysis and adsorption adoptions have a very small effect on efficiency of COD removal compared with the photocatalyst adoptions and it is negligible. In addition, the photocatalytic method has an acceptable capability for removing phenol in wastewater samples, whereas it is inefficient for reducing the sulfide solution in wastewater.
机译：在这项研究中，光催化工艺用于处理石油化工行业的废苛性碱废水。为此，在光反应器中使用两种类型的合成光催化剂（合成氧化锌（ZnO-Syn）和氧化锌与铁的组合（复合）（ZnO-Fe3O4）），并测量化学需氧量（COD）的去除率），然后使用实验设计（DOE）和人工神经网络（ANN）方法对结果进行建模。根据已实现的计算，可以得出结论：在建模和预测COD量方面，人工神经网络比DOE更合适。这项研究的模型表明，在中性pH的状态下增加ZnO-Fe3O4和ZnO-Syn光催化剂的浓度（最佳量为1.08和1.29 g / L），可将COD去除率提高至88％和74％，而无需限制，并且两个都具有限制的2 g / L分别导致80％和69％的去除效率。此外，对参数影响的研究，包括氧化剂用量，曝气速率，pH和催化剂负载量，表明除pH以外的所有因素均对模型产生了积极影响。同样，在低浓度的光催化剂下，光催化剂的酸性pH更合适。除此之外，通过增加pH值，当氧化剂处于低水平时，去除效率将降低。结果表明，与采用光催化剂相比，采用光解吸附法对COD去除效率的影响很小，可以忽略不计。另外，光催化方法具有去除废水样品中的苯酚的可接受能力，而对减少废水中的硫化物溶液效率不高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号