Exploring the influence of aquatic phosphate on Fe floc dynamics in water treatment

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-07-25 DOI:10.1016/j.watres.2024.122146
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Abstract

The formation of flocs is crucial in the coagulation process of water treatment. However, the nature of ligand exchange on the surface of primary nanoparticles (PNPs) during floc formation requires further investigation to enhance our understanding of the coagulation mechanism. Phosphate (P) is a ubiquitous nutrient ion in aquatic surface water, in this study, the impact of P on floc growth under different pH conditions were investigated. The results revealed that floc growth patterns depended on both P dosage and pH. The mode of ligand exchange between P and in-situ formed ferric hydroxide within a pH range of 5 to 10 was further explored, and remarkable disparities in pH changes induced by P addition were observed. At lower pH levels, OH release occurred relatively slowly, stabilizing with continued P addition. At neutral pH, OH release was comparatively higher with P addition, while under alkaline conditions, both the quantity of OH and its release rate decreased. It was deduced that Fe–OH21/2+ sites function as "active sites," while Fe–OH1/2− sites act as "inert sites" on the surface of PNPs formed during flocculation. These sites are crucial in the interconnections between flocs formed during coagulation and in floc growth. Analyses of Fe PNPs by Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM), with and without P addition, revealed that the introduction of P inhibits or interferes with the self-crystallization of Fe PNPs through chemical coordination reactions. The results offer deeper insights into the coagulation mechanism and the transformation of Fe flocs in raw waters containing P during water treatment practices.

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探索水生磷酸盐对水处理中铁絮体动力学的影响
絮凝体的形成在水处理的混凝过程中至关重要。然而,在絮凝体形成过程中,原生纳米粒子(PNPs)表面配体交换的性质需要进一步研究,以加深我们对混凝机理的理解。磷酸盐(P)是水生地表水中无处不在的营养离子,本研究考察了不同 pH 值条件下磷酸盐对絮体生长的影响。结果表明,絮体的生长模式取决于磷的用量和 pH 值。研究还进一步探讨了 P 与原位形成的氢氧化铁在 pH 值 5 至 10 范围内的配体交换模式,并观察到添加 P 引起的 pH 值变化存在显著差异。在较低的 pH 值水平下,羟基释放相对缓慢,并随着 P 的持续添加而趋于稳定。在中性 pH 条件下,随着 P 的添加,OH 的释放量相对较高,而在碱性条件下,OH 的释放量和释放速率都有所下降。由此推断,在絮凝过程中形成的 PNPs 表面,Fe-OH 位点起着 "活性位点 "的作用,而 Fe-OH 位点则起着 "惰性位点 "的作用。这些位点对混凝过程中形成的絮团之间的相互连接以及絮团的生长至关重要。通过扫描电子显微镜(SEM)和透射电子显微镜(TEM)对添加和未添加 P 的铁 PNPs 进行分析,发现 P 的引入会通过化学配位反应抑制或干扰铁 PNPs 的自结晶。这些结果有助于深入了解水处理过程中含磷原水的混凝机制和铁絮凝体的转化过程。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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