Journal of water process engineering最新文献

{"title":"Ubiquitous photoaging of microplastics: Potential challenges to air flotation","authors":"Zhengkai Wang ,&nbsp;Liuyuan Xue ,&nbsp;Yanting Zhang ,&nbsp;Jinhui Xu ,&nbsp;Xinyu Wang ,&nbsp;Lupeng Huang ,&nbsp;Chang Liu ,&nbsp;Guojiang Xia ,&nbsp;Xiancheng Ren ,&nbsp;Jing Zhang","doi":"10.1016/j.jwpe.2025.107953","DOIUrl":"10.1016/j.jwpe.2025.107953","url":null,"abstract":"<div><div>The effect of photoaging on microplastic removal by air flotation and its potential mechanisms are unclear and deserve further investigation. Five common microplastics in nature (PP, PE, PET, PVC, and PS) were subjected to simulated photoaging, and the experimental data revealed that the air flotation efficiency of microplastics gradually decreased with the increase of the degree of light aging. Although photoaging has adverse effects, the densities of PP and PE are lower than water. Their air flotation efficiencies decreased only marginally by 2.3 % and 5.3 % respectively compared to their non-photoaged counterparts. In contrast, the air flotation removal rates of PS, PVC, and PET decreased to 25.7 %, 13.7 %, and 7.3 %, respectively, after 72 h of light exposure. Mechanistic analysis via SEM, FTIR, zeta potential, and contact angle measurements revealed increased fragmentation and disintegration of the five microplastics with increased photoaging severity, alongside significant physicochemical changes: reduced zeta potential, enhanced electronegativity, increased oxygen-containing functional groups, and lowered surface contact angle. Overall, the surface hydrophilicity of the five microplastics increased significantly, which led to the deterioration of the flotation performance of microplastics and the reduction of air flotation removal rate. The effects of ultraviolet light on the aging of the five microplastics were in the following order: PE &lt; PP &lt; PS &lt; PET &lt; PVC. This study reveals the adverse effects of light aging in nature on the removal of microplastics by air flotation, and provides theoretical guidance for the evaluation and optimisation of microplastic air flotation removal processes.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107953"},"PeriodicalIF":6.3,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deciphering chlorine decay influenced by corrosion scale and biofilm from pipe walls in water distribution system: A variable rate exponential model","authors":"Zhaopeng Li,&nbsp;Wencheng Ma,&nbsp;Yulin Gan,&nbsp;Dan Zhong","doi":"10.1016/j.jwpe.2025.107910","DOIUrl":"10.1016/j.jwpe.2025.107910","url":null,"abstract":"<div><div>The chlorine decay in the bulk water of water distribution systems has been thoroughly described, while the description of wall decay often presents challenges. An important challenge lies in the difficulty of isolating the influence of pipe wall components from the system. Herein, we focused on local key factors corrosion scales and biofilms at the wall, establishing a mathematical description to elucidate their role in the chlorine decay process. This study developed a variable rate exponential (VRE) model with minimal parameters to predict chlorine decay kinetics. The model has a variable reaction rate coefficient that decreases as the reaction progresses. The study evaluated and validated the model's performance in fitting chlorine decay influenced by corrosion scales and biofilms, demonstrating superiority compared to traditional first-order models. The VRE model accurately fits the chlorine decay process under varying initial chlorine concentrations, temperatures, corrosion scale concentrations, and biofilm biomass (R² = 0.95–1.00). The temperature dependence of chlorine decay influenced by corrosion scales was explained using the Arrhenius formula. Furthermore, a linear positive correlation was found between corrosion scale concentration/biofilm biomass and the initial reaction rate coefficient. The parameter results of the VRE model confirmed its suitability for different initial chlorine concentrations without requiring any further parameter calibration. This study offers novel modeling perspectives for analyzing chlorine decay in water distribution systems.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107910"},"PeriodicalIF":6.3,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing surface water quality prediction in data-scarce sites using transfer learning and neural networks","authors":"Zhenliang Liao ,&nbsp;Xuan Wang ,&nbsp;Wenchong Tian ,&nbsp;Wanying Xie","doi":"10.1016/j.jwpe.2025.107923","DOIUrl":"10.1016/j.jwpe.2025.107923","url":null,"abstract":"<div><div>Surface water quality prediction is essential for effective water treatment, pollution control, and regulatory compliance. However, neural network (NN)-based predictions are significantly constrained by the limited availability of high-quality training data at newly established or data-scarce monitoring stations. This study innovatively addresses this challenge by employing Transfer Learning (TL) to leverage existing knowledge from data-rich monitoring sites, aiming to improve predictive performance under conditions of data scarcity. To systematically enhance TL effectiveness, we developed and comprehensively evaluated six novel Similarity Measurement Indexes (SMIs) designed explicitly for optimal source domain selection. A case study involving five monitoring stations in Southern China demonstrated that the proposed TL methodology significantly improved prediction accuracy, achieving a substantial reduction of up to 79.9 % in RMSE compared with models trained solely on limited local data. Among the newly introduced SMIs, the <em>P-RMSER</em> and <em>Distance</em> indexes emerged as highly effective tools for identifying the most suitable source domains. Furthermore, we found that the selection of TL hyperparameters—particularly the number of frozen layers and fine-tuning learning rate—was critical in further optimizing predictive performance. These findings offer innovative practical guidelines and methodological advancements for achieving robust water quality forecasting in data-scarce environments.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107923"},"PeriodicalIF":6.3,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent research progress of photoelectrocatalysis technology in the removal of organic pollutants from water","authors":"Yucan Liu ,&nbsp;Xinyi Xu ,&nbsp;Xiuping Sun ,&nbsp;Wei Li ,&nbsp;Jinming Duan","doi":"10.1016/j.jwpe.2025.107911","DOIUrl":"10.1016/j.jwpe.2025.107911","url":null,"abstract":"<div><div>Organic pollutants, particularly persistent organic pollutants (POPs) and emerging contaminants, pose substantial risks to aquatic ecosystems and public health. Conventional water treatment methods, such as coagulation–sedimentation, filtration, and biological processes, often lack the adequate efficiency and selectivity to address these recalcitrant compounds. Photoelectrocatalysis (PEC), which combines electrochemical and photochemical processes, has emerged as a highly effective technology for the oxidation degradation and mineralization of these recalcitrant pollutants, offering potentially a sustainable alternative for water and wastewater treatment. Recent advancements in PEC research have focused on developing novel electrode materials (e.g., Metal–organic frameworks (MOFs) for photoanodes) and the innovation of reactor configurations, primarily through laboratory studies. This review provides a comprehensive analysis of PEC technology advancements, including its fundamental principles, representative photoelectrodes, and critical operational parameters that influence or govern performance. Most likely, integration of PEC with conventional treatment methods could enhance pollutant removal efficiency and environmental compatibility, broadening its practical applicability. Moreover, coupling of PEC with other advanced oxidation processes (AOPs) may present a transformative strategy for treating complex organic wastewater. Future research should emphasize incorporating renewable energy sources, such as solar–powered PEC systems and the applying artificial intelligence for process optimization and efficiency enhancement. PEC technology demonstrates both high treatment efficiency and environmental sustainability, with potentially practical applicability. Future study should focus on scaling up to industrial applications while further exploring technical advancements. This innovative approach could advance water treatment methodologies and contribute substantially to environmental preservation and sustainable resource management.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107911"},"PeriodicalIF":6.3,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced electrodialysis by electric double-layer capacitors to minimize membrane use in digestate ammonia recovery: mechanisms and effects","authors":"Qin-Hua Xu,&nbsp;Yaofeng Cai,&nbsp;Jiajie Li,&nbsp;Minglin Zhou,&nbsp;Yanbin Xu","doi":"10.1016/j.jwpe.2025.107920","DOIUrl":"10.1016/j.jwpe.2025.107920","url":null,"abstract":"<div><div>Anaerobic digestion technology effectively recovers energy from livestock manure but discharges digestate with high ammonia nitrogen (NH₄⁺-N). NH₄⁺-N in digestate can be effectively recovered by electrodialysis (ED) technology. However, the implementation of ED technology is limited by membrane and energy costs. Here, we present a capacitor-circuit-switching electrodialysis (CCSE) strategy to enhance ED efficiency by integrating an electric double-layer capacitor (EDLC). We reveal that the energy storage mechanism of EDLC improves the power density while the intermittent operation mitigates the concentration polarization effect. In the practice of the real digestate, CCSE elevated the pH to 9.4, and 98.8 % of the NH₄⁺ ions migrated to the cathode compartment after 3.5 h. The specific energy consumption and the current efficiency are 15 kWh/kg NH₄⁺-N (N) and 64.1 %, respectively. High pH contributes to carbon reduction in the stripping process, and subsequent alkaline contamination can be controlled by neutralization of the anode effluent. Moreover, the CCSE-stripping system achieved 95 % NH₄⁺-N removal and 93 % stripping recovery efficiency. This work provides valuable insights and solutions for the design and optimization of ED systems.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107920"},"PeriodicalIF":6.3,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green-synthesized Cu-WO₃ for efficient persulfate activation under UV–Vis irradiation: A novel sustainable approach for wastewater treatment","authors":"Bahati Emmanuel Malahya ,&nbsp;Mahmoud Nasr ,&nbsp;Manabu Fujii ,&nbsp;Amal Abdelhaleem","doi":"10.1016/j.jwpe.2025.107919","DOIUrl":"10.1016/j.jwpe.2025.107919","url":null,"abstract":"<div><div>The development of cost-effective and eco-friendly photocatalysts for wastewater treatment remains a challenge. This study presents a Cu-doped WO₃ photocatalyst synthesized using <em>Eichhornia crassipes</em> extract via a green method for persulfate activation under UV–Vis light to degrade methylene blue (MB) as a model pollutant. Characterization analyses revealed that Cu incorporation into WO₃ reduced the band gap energy from 2.71 eV to 2.48 eV, improving charge carrier transfer. The photocatalyst exhibited an irregular nanosheet morphology with an average particle size of 24.53 ± 10.30 nm. The Cu-WO₃/PS/UV–Vis process achieved a 93.82 % MB degradation efficiency under optimized conditions. Additionally, a predictive model showed strong agreement with experimental data (R² = 0.9862). Scavenging tests revealed that SO₄^•– and ^•OH were the dominant radicals in MB degradation, while O₂^•– and h⁺ showed lower contributions. Moreover, chemical oxygen demand (COD) analysis indicated 82 % mineralization efficiency. An economic assessment estimated a treatment cost of US$9.47/m³, a profitability index of 1.3, and a 5.7-year payback period. The study supports the achievement of several UN Sustainable Development Goals (SDGs), including SDGs 3, 6, 8, 12, 13, and 14, demonstrating that the Cu-WO₃/PS/UV–Vis process is an effective, sustainable, and economically viable approach for treating textile wastewater.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107919"},"PeriodicalIF":6.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Operational efficiency improvement in a water supply network: Machine learning-enhanced leakage identification and water resource conservation","authors":"Hongbo Liu ,&nbsp;Junbo Zhang ,&nbsp;Wenhui An ,&nbsp;Yang Chen ,&nbsp;Xiang Yuan ,&nbsp;Guosheng Zhang ,&nbsp;Eric Lichtfouse ,&nbsp;Jiale Ma ,&nbsp;Jin Huang ,&nbsp;Yiqian Tu","doi":"10.1016/j.jwpe.2025.107924","DOIUrl":"10.1016/j.jwpe.2025.107924","url":null,"abstract":"<div><div>Pipeline ruptures in water supply networks can induce significant water loss and may pose risks of water quality deterioration, including potential contamination by pathogens and pollutants. This issue can be addressed by predicting the location of leakage points in the pipeline network and controlling the leakage. Here we designed a hydraulic model for leakage localization using a genetic algorithm-backpropagation neural network, to predict the leakage points in the water supply system of an exposition area consuming 117,211 m³ of water per day in Eastern China. Then, using the model results, pressure-regulating valves were installed in areas with lower network safety. Results show that the error in predicting the leakage points localization ranged from 14.48 m to 121.69 m. The installation of pressure-regulating valves, reduced the average water pressure from 33.54 m to 32.64 m (2.7 %) and, in turn, decreased the simulated background leakage by 9684 m³ of water per day. Compared to traditional acoustic-based methods, the proposed machine learning approach enables more accurate leak localization by leveraging pressure variation features.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107924"},"PeriodicalIF":6.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic banana fiber catalyst for efficient Cr(VI) reduction: a sustainable approach to waste valorization and water treatment","authors":"Pinar Belibagli ,&nbsp;Zelal Isik ,&nbsp;Erdal Yabalak ,&nbsp;Nadir Dizge","doi":"10.1016/j.jwpe.2025.107886","DOIUrl":"10.1016/j.jwpe.2025.107886","url":null,"abstract":"<div><div>This study focused on producing banana fiber (BF) from waste banana bunch stalks and imparting magnetic properties (Fe₃O₄) to the fibers. Characterization analyses confirmed the successful synthesis of the BF-Fe₃O₄ catalyst. Its effectiveness in removing Cr(VI) via a Fenton-like process using heterogeneous catalysts was investigated. Key parameters were optimized to evaluate the catalyst's potential, including pH, catalyst dosage, contact time, H₂O₂ concentration, and Cr(VI) concentration. Under optimal conditions—pH 2.0, 0.5 g/L BF-Fe₃O₄, 5 μL/L H₂O₂, and a 60-min contact time—100 % removal of a 10 mg/L Cr(VI) solution was achieved. Reusability tests demonstrated consistent removal efficiency even after five cycles. Kinetic studies indicated that the Fenton-like process followed a second-order kinetic model. Overall, the BF-Fe₃O₄ catalyst, derived from banana waste, proved effective for Cr(VI) removal while offering cost-effectiveness, reusability, and a sustainable approach to waste valorization.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107886"},"PeriodicalIF":6.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing single and multi-component adsorption efficiency of pharmaceutical emerging contaminants using bio waste-derived carbon materials and geopolymers","authors":"Ana Paula Ferreira ,&nbsp;Arthur P. Baldo ,&nbsp;Adriano S. Silva ,&nbsp;Ana Paula S. Natal ,&nbsp;Ana J.B. Bezerra ,&nbsp;Jose L. Diaz de Tuesta ,&nbsp;Pricila Marin ,&nbsp;José A. Peres ,&nbsp;Helder T. Gomes","doi":"10.1016/j.jwpe.2025.107914","DOIUrl":"10.1016/j.jwpe.2025.107914","url":null,"abstract":"<div><div>Water contamination with pharmaceuticals like acetaminophen (ACT), sulfamethoxazole (SMX), and phenolic compounds such as gallic acid (GA), have become a global concern. These contaminants are persistent environmental pollutants that threaten aquatic life and human health. Adsorption is recognized as an efficient and low-cost solution to tackle water pollution. In this study, the efficiency of three adsorbents—activated carbon (AC), geopolymer (GP), and carbon nanotubes (CNT) prepared from solid wastes for the removal of ACT, SMX, and GA by adsorption is assessed. AC, GP and CNT are synthesized from real wastes to address solid waste management needs. Physisorption confirmed AC superior BET surface area (527 m² g⁻¹), followed by CNTs (66 m² g⁻¹) and GPs (30 m² g⁻¹), allowing to achieve the highest adsorption capacity: 126.8 mg g⁻¹ for ACT, 54.9 mg g⁻¹ for SMX, and 151.5 mg g⁻¹ for GA, with respective breakthrough times of 314, 66, and 68 min. Kinetic and isotherm adsorption models are fitted for all pair pollutant-adsorbent reaching 33 equations to accurately predict adsorption process, concluding that pseudo-second-order kinetic and Freundlich model best fit experimental data, demonstrating a strong adsorbent-adsorbate affinity. The findings suggest that these sustainable materials offer promising solutions for treating contaminated water.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107914"},"PeriodicalIF":6.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpretable prediction of coagulant dosage in drinking water treatment plant based on automated machine learning and SHAP method","authors":"Liyan Feng ,&nbsp;Ying Zhang ,&nbsp;Xiaoting Wei ,&nbsp;Mengyuan Wang ,&nbsp;Zhiguang Niu ,&nbsp;Chenchen Wang","doi":"10.1016/j.jwpe.2025.107925","DOIUrl":"10.1016/j.jwpe.2025.107925","url":null,"abstract":"<div><div>Accurate prediction of coagulant dosing is critical to ensure the efficiency and cost-effectiveness of the water treatment process. This study developed an accurate prediction model for coagulant dosing in drinking water treatment plants using automated machine learning (AutoML) and enhanced its transparency with the SHAP (Shapley Additive explanation) method. Results showed that the Random Forest (RF) model developed by AutoML outperformed the best single Gradient Boosting Tree model, with a 37 % lower RMSE of 0.89, a 52 % lower MAE of 0.47, and a 5 % higher R² of 0.96. The RF model has the potential to save 10.25 % of coagulant dosage per year, specifically, 222 kg/d of PACl at a cost of 180.7 yuan/d for Yangtze River water, and 225 kg/d at a cost of 183.2 yuan/d for Luan River water, while ensuring a more stable water quality in the treated water. SHAP analysis identified conductivity, ammonia nitrogen, chemical oxygen demand, and temperature of raw water as key factors affecting PACl dosage, which significantly impacts treated water pH. The combination of AutoML and SHAP method applied to intelligent water management, can bolster water treatment efficiency and management practices, resulting in noteworthy environmental, economic, and social benefits.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"75 ","pages":"Article 107925"},"PeriodicalIF":6.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}