不同藻华强度下可持续高通量陶瓷膜预处理海水

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Boyan Xu, Meiyue Ding, Kar Ming Tan, Brenda Rui Lin Tan, Tze Chiang Albert Ng, Lai Yoke Lee, Noguchi Hiroshi, Niwa Terutake, Sungwoo Bae, How Yong Ng
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引用次数: 0

摘要

实现可靠的高通量超滤(UF)用于海水处理,特别是在有害藻华(HABs)期间,仍然是一个重大挑战。本研究重新考察了传统的在线混凝后超滤(IC-UF)工艺,并评估了其在不同HAB强度下高通量陶瓷膜操作(净通量:200 L/m2/h)下的性能。此外,我们重新评估了超滤前的在线混凝和絮凝(ICF-UF)预处理方法,这是一种成熟但很少实施的海水淡化策略,并将其性能与IC-UF进行了批判性比较。采用渐进式策略建立了一个包含藻类有机质(AOM)、浊度、叶绿素- A和改良污染指数(MFI)等参数的处理性能矩阵。该基质通过瓶试验和批量过滤实验建立,旨在通过评估IC-UF和ICF-UF在不同铁剂量、絮凝时间和HAB强度(104-106细胞/mL)下的性能来指导海水预处理。在间歇超滤向连续超滤过渡的过程中,AOM成为连续高通量超滤中污染的关键预测因子,因为它主要导致物理不可逆污染。相反,在间歇UF中观察到的MFI值升高,主要是由微粒驱动的,由于有效的常规物理反冲洗,并不能可靠地表明连续操作下膜污染。重要的是,AOM与Fe形成稳定的配合物,产生协同的不可逆杂质,在连续高通量UF运行期间大大降低了维护清洗(MC)的效率。为了缓解这一问题,MC策略通过顺序化学清洗进行了优化,其中柠檬酸预处理通过改善AOM-Fe配合物的去除,促进了随后的NaOCl清洗。在长期高通量海水预处理中,IC-UF通过促进微颗粒的形成和AOM的去除,在较低藻密度(如104个细胞/mL)下有效控制膜污染。然而,在较高的藻密度下,IC-UF会导致严重的物理不可逆饼层形成和孔隙堵塞。相比之下,ICF-UF通过活性铁位点(如η-H2O和η-OH)增强了混凝动力学和微粒聚集,从而更好地去除微颗粒(2-6 μm)、生物聚合物、腐殖质物质和低分子量(LMW)化合物。因此,与IC-UF相比,ICF-UF通过减少不可逆的饼层形成和孔隙堵塞(以芳香蛋白AOMs为特征),在严重的HAB条件下(>3×105 cells/mL)表现出更好的污染缓解能力。总的来说,这项研究证明了传统的IC-UF和新应用的ICF-UF在提高陶瓷膜在各种HAB强度下的海水预处理中的可持续性方面的潜力,在不需要溶解空气浮选(DAF)的情况下,实现了比常规海水淡化厂高得多的通量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sustainable High-Flux Ceramic Membrane Operations for Seawater Pretreatment under Diverse Algal Bloom Intensities

Sustainable High-Flux Ceramic Membrane Operations for Seawater Pretreatment under Diverse Algal Bloom Intensities
Achieving reliable high-flux ultrafiltration (UF) for seawater treatment, particularly during harmful algal blooms (HABs), remains a significant challenge. This study revisited the conventional in-line coagulation followed by ultrafiltration (IC-UF) process and evaluated its performance under high-flux ceramic membrane operation (net flux: 200 L/m2/h) across varying HAB intensities. In addition, we re-evaluated a pretreatment approach combining in-line coagulation and flocculation prior to ultrafiltration (ICF-UF), a well-established yet rarely implemented strategy in seawater desalination, and critically compared its performance with IC-UF.A stepwise strategy was employed to develop a treatment-performance matrix incorporating parameters such as algal organic matter (AOM), turbidity, chlorophyll-a, and modified fouling index (MFI). This matrix, established through jar tests and batch filtration experiments, aimed to guide seawater pretreatment by assessing IC-UF and ICF-UF performance under varying iron doses, flocculation durations, and HAB intensities (104–106 cells/mL).During the transition from batch to continuous UF, AOM emerged as a key predictor of fouling in continuous high-flux UF, as it contributed primarily to physical irreversible fouling. Conversely, elevated MFI values observed in batch UF, mainly driven by microparticles, did not reliably indicate membrane fouling under continuous operation, due to effective routine physical backwashing. Importantly, AOM form stable complexes with Fe, generating synergetic irreversible foulants that substantially reduced the efficacy of maintenance cleaning (MC) during continuous high-flux UF operation. To mitigate this, MC strategies were optimized through sequential chemical cleaning, wherein citric acid preconditioning facilitated subsequent NaOCl cleaning by improving removal of AOM-Fe complexes.In long-term high-flux seawater pretreatment, IC-UF effectively controlled membrane fouling at lower algal densities (e.g., 104 cells/mL) by promoting microparticles formation and AOM removal. However, at higher algal densities, IC-UF resulted in severe physical irreversible cake layer formation and pore blockage. In contrast, ICF-UF enhanced coagulation kinetics and microparticle aggregation through active iron sites (e.g., η-H2O and η-OH), leading to greater removal of microparticles (2–6 μm), biopolymers, humic substances, and low molecular weight (LMW) compounds. Consequently, ICF-UF demonstrated superior fouling mitigation under severe HAB condition (>3×105 cells/mL) by reducing both irreversible cake layer formation and pore blockage (characterized as aromatic-proteinic AOMs), compared to IC-UF. Collectively, this study demonstrates the potential of conventional IC-UF and the newly applied ICF-UF to enhance ceramic membrane sustainability in seawater pretreatment across a range of HAB intensities, achieving substantially higher fluxes than those typically reported in full-scale desalination plants, without requiring dissolved air flotation (DAF).
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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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