Optimization of pre-oxidation enhanced coagulation for micro-polluted water treatment by response surface method

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
R. Zhou, M. Zhang
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Abstract

Taking the natural water in Anhui Polytechnic University as the research object, the removal of micro-pollutants in water body by KMnO4 pre-oxidation enhanced polyaluminium chloride (PAC) coagulation process was studied. Firstly, the ability of different experimental schemes to remove turbidity, TP (Total Phosphorus) and UV254 was investigated to determine the pre-oxidation scheme. Then, on the basis of the selected pre-oxidation scheme, the effects of the dosage of KMnO4, dosage of PAC, pre-oxidation time and pH on the removal of pollutants were investigated. Taking removal rate of turbidity, UV254 and TP as the response values, the response surface method (RSM) was used to investigate the independent and interactive effects of the dosage of KMnO4 (A), PAC dosage (B) and pre-oxidation time (C). The technological parameters of KMnO4 pre-oxidation enhanced coagulation treatment of micro-polluted water were optimized. The results showed that adding KMnO4 for 5 min followed by adding PAC had the best treatment effect. The influence order is as follows: turbidity (B > A > C), UV254 (B > C > A), TP (A > B > C). The optimal technology parameters predicted by the model are as follows: A is 0.886 mg/L, B is 47.498 mg/L, and C is 13.1 min. Under these conditions, the best removal rates of turbidity, TP and UV254 were 92.43%, 86.25% and 40.6%, respectively, and the validated values were 92.51%, 88.67% and 41.32%, respectively. The deviation values from the model prediction are 0.07%, 2.42% and 0.72%.

Abstract Image

用响应面法优化微污染水处理中的预氧化强化混凝法
以安徽工业大学自然水体为研究对象,研究了 KMnO4 预氧化强化聚氯化铝(PAC)混凝工艺对水体中微污染物的去除效果。首先,研究了不同实验方案去除浊度、TP(总磷)和 UV254 的能力,以确定预氧化方案。然后,在选定的预氧化方案基础上,研究了 KMnO4 的用量、PAC 的用量、预氧化时间和 pH 值对去除污染物的影响。以浊度、UV254 和 TP 的去除率为响应值,采用响应面法(RSM)研究 KMnO4 投加量(A)、PAC 投加量(B)和预氧化时间(C)的独立效应和交互效应。对 KMnO4 预氧化强化混凝处理微污染水的技术参数进行了优化。结果表明,投加 KMnO4 5 分钟后再投加 PAC 的处理效果最好。影响顺序为:浊度(B > A > C)、UV254(B > C > A)、TP(A > B > C)。模型预测的最佳技术参数如下:A 为 0.886 mg/L,B 为 47.498 mg/L,C 为 13.1 min。在此条件下,浊度、TP 和 UV254 的最佳去除率分别为 92.43%、86.25% 和 40.6%,验证值分别为 92.51%、88.67% 和 41.32%。与模型预测值的偏差分别为 0.07%、2.42% 和 0.72%。
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来源期刊
CiteScore
5.60
自引率
6.50%
发文量
806
审稿时长
10.8 months
期刊介绍: International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management. A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made. The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.
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