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用于饮用水回用的深度废水处理的混凝与吸附技术组合:基于人工神经网络、非支配排序遗传算法II和响应面法

Combination of coagulation and adsorption technologies for advanced wastewater treatment for potable water reuse: By ANN, NSGA-II, and RSM.

作者信息

Zahmatkesh Sasan, Karimian Melika, Chen Zhijie, Ni Bing-Jie

机构信息

Tecnologico de Monterrey, Escuela de Ingenieríay Ciencias, Puebla, Mexico; Faculty of Health and Life Sciences, INTI International University, 71800, Nilai, Negeri Sembilan, Malaysia.

Faculty of Civil Engineering, Architecture and Urban Planning, University of Eyvanekey, Iran.

出版信息

J Environ Manage. 2023 Oct 28;349:119429. doi: 10.1016/j.jenvman.2023.119429.

DOI:10.1016/j.jenvman.2023.119429
PMID:39491942
Abstract

To reuse water and reduce water pollution, such as chemical oxygen demand (COD), total suspended solids (TSS), PO, NTU, and NO, advanced wastewater treatment technologies (a combination of coagulation (FeCl) and adsorption (Activated Carbon (AC))) are attractive. Considering that water reclamation can help provide an irrigation system for crops and domestic purified water, removing organic matter and nutrients prior to wastewater reuse is fundamental. In order to remove contaminants like organic matter and nutrients from wastewater, advanced wastewater treatment processes are recommended. The purpose of this paper is to investigate various doses of AC and FeCl in wastewater treatment and study the optimum conditions for the removal of COD, TSS, PO, NTU, and NO. Furthermore, the evaluated FeCl'/AC's optimum functioning pH ranges from 6.5 to 8.0, and their optimum working times range from 2.5 to 5.5 h. The optimum concentrations of AC were 0.1-25 g/L and 0.1-5 g/L of FeCl3. The most significant COD elimination rate (98%), the highest TSS elimination efficiency (94%), NTU elimination performance (99%), PO4 elimination (99%), and NO3 elimination (67%), among the investigated FeCl and AC. Secondly, the effects of operational variables such as AC, FeCl, time, and solution pH were modeled, optimized, and evaluated using response surface techniques based on the D-Optimal design. Input from the response surface approach findings was used to develop an artificial neural network-based prediction model and Non-dominated Sorting Genetic Algorithm II (NSGA-II).

摘要

为了实现水的再利用并减少水污染,如化学需氧量(COD)、总悬浮固体(TSS)、PO、NTU和NO,先进的废水处理技术(混凝(FeCl)和吸附(活性炭(AC))相结合)很有吸引力。考虑到水的回收利用有助于为农作物提供灌溉系统和家庭净化水,在废水再利用之前去除有机物和营养物质至关重要。为了从废水中去除有机物和营养物质等污染物,推荐采用先进的废水处理工艺。本文的目的是研究不同剂量的AC和FeCl在废水处理中的应用,并研究去除COD、TSS、PO、NTU和NO的最佳条件。此外,评估得出FeCl'/AC的最佳运行pH范围为6.5至8.0,其最佳工作时间范围为2.5至5.5小时。AC的最佳浓度为0.1 - 25 g/L,FeCl3的最佳浓度为0.1 - 5 g/L。在所研究的FeCl和AC中,COD去除率最高(98%),TSS去除效率最高(94%),NTU去除性能(99%),PO4去除率(99%),NO3去除率(67%)。其次,基于D - 最优设计,使用响应面技术对AC、FeCl、时间和溶液pH等操作变量的影响进行建模、优化和评估。利用响应面方法的研究结果来开发基于人工神经网络的预测模型和非支配排序遗传算法II(NSGA - II)。

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