Journal of water process engineering最新文献_第8页

A new electrifying strategy to enhance nitrogen removal from ammonium-rich saline wastewater: Performance and mechanisms 一种新的电气化策略提高富铵盐水废水的脱氮性能和机理

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-18 DOI: 10.1016/j.jwpe.2025.108319

Hong Peng , Haotian Lei , Haojie Li, Yuanwei Li, Ganxue Wu, Yingjun Wang, Ying Zhu, Zhenxing Zeng, Hong Xiao

{"title":"A new electrifying strategy to enhance nitrogen removal from ammonium-rich saline wastewater: Performance and mechanisms","authors":"Hong Peng , Haotian Lei , Haojie Li, Yuanwei Li, Ganxue Wu, Yingjun Wang, Ying Zhu, Zhenxing Zeng, Hong Xiao","doi":"10.1016/j.jwpe.2025.108319","DOIUrl":"10.1016/j.jwpe.2025.108319","url":null,"abstract":"<div><div>This study explores a novel direct electrical stimulation (ES) system for treating ammonium-rich saline wastewater, using graphite felts as biofilm carriers and conductive materials without separate cathodes and anodes. The concentrations of chemical oxygen demand (COD) and NH₄<sup>+</sup>-N in the synthetic wastewater were 500 mg/L and 100 mg/L, respectively, with salinity levels ranging from 0.8 % to 1.2 %. Three types of reactors were established under microaerobic conditions: a bio-electrochemical reactor (BER), a biotic control reactor (BC), and an electrochemical control reactor (EC). The BER, charged at 0.9 V, achieved 91.0 ± 2.6 % total nitrogen (TN) removal efficiency at 1.2 % salinity, significantly higher than the BC (79.0 ± 5.5 %), while the EC showed no TN removal. Mechanistically, the ES enhanced microbial salt tolerance, biofilm robustness, and microbial metabolic activity by promoting salt-in strategy, extracellular polymeric substance secretion, and electron transfer. Metagenomic analysis revealed that marine anammox bacteria <em>Candidatus SCAELEC01</em> and <em>Candidatus Scalindua</em> were enriched in the BER, with relative abundances 2.39 and 2.38 times higher than in the BC, respectively. Functional gene analysis indicated that ES increased the relative abundances of genes <em>narG</em> and <em>narH</em>, enhancing partial denitrification. ES also boosted the relative abundances of genes <em>hzsA</em>, <em>hzsB</em>, <em>hzsC</em>, <em>hdh</em>, and <em>hzo</em>, promoting the anammox process. Meanwhile, genes <em>nirK</em>, <em>norB</em>, and <em>norC</em> decreased. Collectively, these changes may explain the 46.80 % reduction in N₂O emissions. These results highlight direct ES as a promising strategy for treating ammonium-rich saline wastewaters.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108319"},"PeriodicalIF":6.3,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663114","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}

引用次数: 0

Sulfhydryl-functionalized covalent organic frameworks microspheres supported Au nanoparticles for continuous flow-through catalysis 巯基功能化共价有机框架微球支持金纳米颗粒连续流动催化

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-18 DOI: 10.1016/j.jwpe.2025.108357

Yaochen Zheng , Yuancheng Zhu , Fengyan Xiao , Fushuai Wang , Ning Wang

{"title":"Sulfhydryl-functionalized covalent organic frameworks microspheres supported Au nanoparticles for continuous flow-through catalysis","authors":"Yaochen Zheng , Yuancheng Zhu , Fengyan Xiao , Fushuai Wang , Ning Wang","doi":"10.1016/j.jwpe.2025.108357","DOIUrl":"10.1016/j.jwpe.2025.108357","url":null,"abstract":"<div><div>The pore walls functionalization of covalent organic frameworks (COFs) allows for the immobilization of noble metal nanoparticles on the COFs surface, providing the opportunity for continuous catalysis. However, most COFs are amorphous due to their uncontrollable polymerization kinetics, which limits their suitability for continuous flow-through catalytic processes. In this work, spherical COFs microspheres were synthesized at room temperature and further pore walls modified by 1, 2-benzenedithiol (SCOFs-SH) to immobilize Au nanoparticles (Au NPs) for continuous flow-through catalysis. The optimized flux of the catalytic system was up to 3000 L· m<sup>−2</sup> ·h<sup>−1</sup> with a 4-nitrophenol reduction efficiency of 99 %. More importantly, the SCOFs-SH@Au NPs were proven to show good stability for 24 h flow-through testing and long-term stability for 15 days soaking in water. The reason for the fast catalysis could be ascribed to the design of SCOFs-SH@Au NPs to fast adsorption of 4-nitrophenol and the desorption of the product 4-aminophenol nearby the active sites. Our strategy, which leverages morphology and functional design to enhance catalytic efficiency, offers a promising approach for fabricating efficient heterogeneous catalysts for industrial applications.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108357"},"PeriodicalIF":6.3,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654814","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}

引用次数: 0

Comparison of interpretable machine learning models and mechanistic model for predicting effluent nitrogen in WWTP 可解释机器学习模型与机制模型在污水处理厂出水氮预测中的比较

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-17 DOI: 10.1016/j.jwpe.2025.108344

Yue Wang , Tan Li , Langming Bai , Huarong Yu , Fangshu Qu

{"title":"Comparison of interpretable machine learning models and mechanistic model for predicting effluent nitrogen in WWTP","authors":"Yue Wang , Tan Li , Langming Bai , Huarong Yu , Fangshu Qu","doi":"10.1016/j.jwpe.2025.108344","DOIUrl":"10.1016/j.jwpe.2025.108344","url":null,"abstract":"<div><div>Accurate prediction of effluent nitrogen is crucial for optimizing operations of wastewater treatment plants (WWTPs). This study systematically compared the performance of a mechanistic model, i.e., the Activated Sludge Model (ASM), with six machine learning (ML) models in predicting effluent total nitrogen (TN), by using one year of high-resolution full-scale operational data obtained from a municipal wastewater treatment plant (WWTP). Notably, the integration of Shapley Additive Explanations (SHAP) into the ML models enabled transparent interpretation of model predictions. ASM was dynamically calibrated through sensitivity analysis, which identified key parameters such as μ<sub>AOB</sub> and <em>η</em><sub>OHO,anox</sub> related to nitrification and denitrification. Despite capturing TN trends, the ASM model showed limited accuracy (<em>R</em><sup><em>2</em></sup> = 0.26 for training and 0.06 for validation). In contrast, ML models, particularly Random Forest, XGBoost, and LightGBM, demonstrated superior predictive performance (highest <em>R</em><sup><em>2</em></sup> = 0.79, lowest MRE = 7.5 %). The ML can directly learn complex relationships from a large amount of running data, while ASM relies on simplified mechanism equations and has difficulty reflecting the dynamic changes in actual operation. SHAP analysis further revealed that return sludge rate, MLSS, influent ammonia, and nitrate concentrations were the most influential features determining TN removal. These findings were consistent with the ASM sensitivity analysis, verifying the ML model's capacity to uncover biologically meaningful insights. This study demonstrated that interpretable ML models not only outperformed traditional ASM in prediction accuracy but also provide transparent and actionable explanations, marking a significant advancement in the application of AI for wastewater process modeling.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108344"},"PeriodicalIF":6.3,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654815","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}

引用次数: 0

Magnetic Ag0 and CuO doped bio-sonocatalyst multi-walled carbon nanotube for synergized degradation of monoethylene glycol from gas refinery effluents 磁性Ag0和CuO掺杂生物声催化剂多壁碳纳米管协同降解炼油废水中的单乙二醇

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-17 DOI: 10.1016/j.jwpe.2025.108330

Saeed Rajabi , Hassan Hashemi , Mohammad Reza Samaei , Alireza Nasiri , Abooalfazl Azhdarpoor , Saeed Yousefinejad , Majid Sartaj , Siavash Isazadeh

{"title":"Magnetic Ag0 and CuO doped bio-sonocatalyst multi-walled carbon nanotube for synergized degradation of monoethylene glycol from gas refinery effluents","authors":"Saeed Rajabi , Hassan Hashemi , Mohammad Reza Samaei , Alireza Nasiri , Abooalfazl Azhdarpoor , Saeed Yousefinejad , Majid Sartaj , Siavash Isazadeh","doi":"10.1016/j.jwpe.2025.108330","DOIUrl":"10.1016/j.jwpe.2025.108330","url":null,"abstract":"<div><div>A novel magnetic Ag<sup>0</sup> and CuO doped bio-sonocatalyst nanotube carbon was synthesized by advanced microwave-assisted co-precipitation and hybrid reduction methods in the presence of methylcellulose, a natural polysaccharide of cellulose derivatives, and then was investigated for its potential application in the sonocatalytic degradation of monoethylene glycol (MEG) from gas refinery wastewater. Structural characterization analyses were employed to confirm the successful synthesis of the bio-nanocomposite by uniform structure. XRD and FTIR analyses revealed a crystalline structure with MC functional groups that promote contaminant interaction. The bio-sonocatalyst exhibited magnetic characterization with a high specific surface area and thermal stability, as determined by further analysis. Optimum MEG degradation up to 82.9 % was achieved using a 0.8 g/L bio-catalyst dosage and a 5 mM persulfate. The process exhibited the highest efficiency in mildly acidic environments and followed <em>pseudo</em>-first-order kinetics (R<sup>2</sup> > 0.9). Scavenger studies identified sulfate radicals as playing a dominant role in the degradation process. Real wastewater treatment demonstrated the method's applicability, albeit with reduced efficiency (53.4 %). The machine learning indicated that the KNN model had the maximum accuracy (R<sup>2</sup> = 0.96), making it the optimal prediction model. The bio-catalyst exhibited excellent reusability with minimal metal leaching and maintained its structural integrity over 4 cycles.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108330"},"PeriodicalIF":6.3,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654816","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}

引用次数: 0

Sustainable kaolin-crosslinked kappa-carrageenan hydrogel as an efficient adsorbent for cationic dye removal from wastewater 可持续高岭土交联卡帕-卡拉胶水凝胶对废水中阳离子染料的高效吸附剂

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-17 DOI: 10.1016/j.jwpe.2025.108333

Fekri Abdulraqeb Ahmed Ali , Javed Alam , Ahmed S. Al-Fatesh , Farid Fadhillah , Badr M. Thamer , Muhammad Ali Shar , Mansour Alhoshan

{"title":"Sustainable kaolin-crosslinked kappa-carrageenan hydrogel as an efficient adsorbent for cationic dye removal from wastewater","authors":"Fekri Abdulraqeb Ahmed Ali , Javed Alam , Ahmed S. Al-Fatesh , Farid Fadhillah , Badr M. Thamer , Muhammad Ali Shar , Mansour Alhoshan","doi":"10.1016/j.jwpe.2025.108333","DOIUrl":"10.1016/j.jwpe.2025.108333","url":null,"abstract":"<div><div>Dissolution of biopolymers in water is indeed a challenge for water treatment applications. By developing strong 3D gels through ionic crosslinking, biopolymers can be effectively utilized for water treatment applications. In this study, a sustainable and cost-effective kaolin-crosslinked κ-carrageenan (Kln-crosslinked κCg) hydrogel was developed by crosslinking kaolin clay with the κ-carrageenan biopolymer to eliminate cationic dyes, crystal violet (CV) and methylene blue (MB), from wastewater. The developed hydrogels were characterized using XRD, FTIR, SEM, and BET techniques. The effects of dye concentration, adsorbent dosage, pH, and temperature on the adsorption process were assessed. The pseudo-second-order and Elovich models most accurately depicted the adsorption kinetics, implying that chemisorption was the predominant mechanism. The Langmuir isotherm effectively represented the experimental data, indicating monolayer adsorption with saturation capacities of 188.4 ± 5.07 mg/g for CV and 124 ± 2.21 mg/g for MB. Thermodynamic analysis showed an endothermic, spontaneous process, increasing system disorder. Additionally, the hydrogel showed high reusability, ∼70 % removal efficiency after three cycles. A multi-objective genetic algorithm II (MOGA-II) effectively optimized the adsorption parameters. The artificial neural network model, with 10 neurons, yielded good predictive results, aligning closely with experimental data. R<sup>2</sup> values were 0.9953 for CV and 0.9519 for MB.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108333"},"PeriodicalIF":6.3,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655231","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}

引用次数: 0

Natural sunlight-driven photocatalytic mineralization of petrochemical wastewater using ceramic-supported Fe, B co-doped TiO2/CNT@WO3 in a flat panel photoreactor 在平板光反应器中利用陶瓷负载Fe， B共掺杂TiO2/CNT@WO3对石化废水进行天然光催化矿化

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-17 DOI: 10.1016/j.jwpe.2025.108328

Mehdi Rahbar, Mona Hosseini-Sarvari

{"title":"Natural sunlight-driven photocatalytic mineralization of petrochemical wastewater using ceramic-supported Fe, B co-doped TiO2/CNT@WO3 in a flat panel photoreactor","authors":"Mehdi Rahbar, Mona Hosseini-Sarvari","doi":"10.1016/j.jwpe.2025.108328","DOIUrl":"10.1016/j.jwpe.2025.108328","url":null,"abstract":"<div><div>This work presents the development of a sunlight-driven photocatalytic system for effective degradation of real petrochemical wastewater containing phthalic anhydride. To this end, a photocatalyst comprising Fe, B co-doped TiO<sub>2</sub> decorated with WO<sub>3</sub> wrapped around carbon nanotube (CNT@WO<sub>3</sub>) was synthesized using sol-gel method, and immobilized as a thin film on sintered ceramic substrates. A flat-panel photoreactor was designed to maximize sunlight exposure and enhance photocatalytic activity. Under 40 h of natural sunlight irradiation, the immobilized photocatalyst achieved 53 %, and 41 % removal of chemical oxygen demand (COD) and total organic carbon (TOC), respectively, along with an 88 % reduction in turbidity. The specific activity (11.85 ppm. g<sup>−1</sup>.h<sup>−1</sup>) and the energy efficiency (611.62 kWh.m<sup>−3</sup>.order<sup>−1</sup>) were determined for the conducted photocatalytic degradation. The oxidant-assisted photocatalytic reaction using H<sub>2</sub>O<sub>2</sub> and Na<sub>2</sub>S<sub>2</sub>O<sub>8</sub> led to further improved efficiency. Liquid chromatography-mass spectrometry (LC-MS) analysis validated the extent of photocatalytic degradation of the contaminants. The immobilized photocatalyst exhibited excellent stability over 10 consecutive reaction cycles. Radical scavenging experiments revealed that hydroxyl radicals (<sup>•</sup>OH) are dominant species driving the degradation reaction. Formation of the <sup>•</sup>OH radicals was further confirmed using photoluminescence method and coumarin as a probe molecule.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108328"},"PeriodicalIF":6.3,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654813","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}

引用次数: 0

Development of fine-tuned deep learning models for physical classification of microplastics extracted from different environmental matrices 开发微调深度学习模型，用于从不同环境矩阵中提取的微塑料的物理分类

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-17 DOI: 10.1016/j.jwpe.2025.108343

Neha Parashar , Mukesh Kumar Singh , Harsh Mangalam Verma , Subrata Hait

{"title":"Development of fine-tuned deep learning models for physical classification of microplastics extracted from different environmental matrices","authors":"Neha Parashar , Mukesh Kumar Singh , Harsh Mangalam Verma , Subrata Hait","doi":"10.1016/j.jwpe.2025.108343","DOIUrl":"10.1016/j.jwpe.2025.108343","url":null,"abstract":"<div><div>Microplastics (plastics < 5 mm) pose significant analytical challenges due to low-resolution imaging and labour-intensive classification susceptible to human errors. Henceforth, in this study, fine-tuned deep learning (DL) models (MobileNetV2, ResNet50, and InceptionV3) are applied to physically classify MPs extracted from diverse environmental matrices: personal care and daily-use products, wastewater, and rainwater samples. Very-Low-Magnification (VLM) MPs images were generated into three shapes (microbeads, fragments, and fibers) and physically classified using Convolutional Neural Networks (CNNs). Transfer learning (TL) methods were employed using a 7:1.5:1.5 split of the augmented dataset (training, validation, and testing), and their effectiveness was evaluated using validation dataset. The original set of 364 MPs images was augmented by applying horizontal and vertical flips along with zooming (1.1× and 1.2×) to yield 4368 samples and assess how larger training and validation sets affected CNNs performance. All the three DL models exhibited exceptional performance, achieving average accuracy, precision, recall, and F1 score values >99.8 %. MobileNetV2 obtained perfect scores (100 %) for microbeads but showed a slightly lower recall (99.6 %) for fragments. ResNet50 and InceptionV3 both demonstrated consistently high performance across all MP shapes, each achieving 100 % accuracy for fibers, with ResNet50 attaining a perfect F1 score and InceptionV3 showing high metrics overall. These results underscore the models' strong potential for accurate, efficient MP classification across diverse environmental samples.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108343"},"PeriodicalIF":6.3,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654812","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}

引用次数: 0

Decolorization and power generation in a microbial fuel cell with pomelo peel-derived bioanode 柚皮生物阳极微生物燃料电池的脱色及发电

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-16 DOI: 10.1016/j.jwpe.2025.108324

Mingshuo Feng , Haiman Wang , Da Li , Yeting Zhang

{"title":"Decolorization and power generation in a microbial fuel cell with pomelo peel-derived bioanode","authors":"Mingshuo Feng , Haiman Wang , Da Li , Yeting Zhang","doi":"10.1016/j.jwpe.2025.108324","DOIUrl":"10.1016/j.jwpe.2025.108324","url":null,"abstract":"<div><div>Dye wastewater poses significant environmental risks, and while microbial fuel cells (MFCs) demonstrate excellent decolorization efficiency in treating such wastewater, developing a high-performance anode remains crucial for enhancing MFC performance.</div><div>This study developed a bioanode—polypyrrole-pomelo peel carbon-carbon cloth (PPy-PPC-CC)—via a facile calcination-carbonization and electrochemical polymerization approach using pomelo peel as biomass material.</div><div>Physicochemical and electrochemical characterizations revealed that the modified PPy-PPC-CC anode exhibited an enlarged specific surface area with elevated pyrrolic-N content (66.3 ± 1.2 %) and total nitrogen (13.11 %), thereby synergistically enhancing extracellular electron transfer (EET) efficiency. In addition, the MFC equipped with the PPy-PPC-CC bioanode achieved a decolorization efficiency of 94.23 ± 2.12 % at 72 h for methyl orange treatment while achieving a maximum power density of 370 ± 5.3 mW/m<sup>2</sup>. The liquid chromatography coupled with mass spectrometry (LC-MS) analysis revealed two degradation pathways of methyl orange: demethylation and benzene ring hydroxylation. Possible degradation pathways were further proposed based on the identified intermediates. Finally, microbial analysis revealed enriched electroactive genera (<em>Geobacter, Acinetobacter, Enterobacter</em>), optimizing and improving the structure of the anode biofilm community.</div><div>The results demonstrate that the MFC equipped with the PPy-PPC-CC bioanode exhibits excellent electrochemical performance, good biocompatibility, and remarkable methyl orange decolorization efficiency.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108324"},"PeriodicalIF":6.3,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634502","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}

引用次数: 0

Advanced nitrogen removal from semiconductor wastewater under fluoride stress via continuous plug-flow anaerobic/oxic/anoxic process: Performance, microbial evolution and mechanisms 连续塞流厌氧/氧/缺氧工艺对氟胁迫下半导体废水的深度脱氮：性能、微生物进化及机理

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-16 DOI: 10.1016/j.jwpe.2025.108315

Shuo Chen , Wenyi Dong , Fupeng Wang , Huaguang Liu , Zilong Hou , Yanchen Li , Pingyan Zhou , Ruzhen Huang , Hongjie Wang

{"title":"Advanced nitrogen removal from semiconductor wastewater under fluoride stress via continuous plug-flow anaerobic/oxic/anoxic process: Performance, microbial evolution and mechanisms","authors":"Shuo Chen , Wenyi Dong , Fupeng Wang , Huaguang Liu , Zilong Hou , Yanchen Li , Pingyan Zhou , Ruzhen Huang , Hongjie Wang","doi":"10.1016/j.jwpe.2025.108315","DOIUrl":"10.1016/j.jwpe.2025.108315","url":null,"abstract":"<div><div>The presence of fluoride ions (F<sup>−</sup>) in nitrogen-containing wastewater from the semiconductor industry poses significant challenges to biological wastewater treatment plants (WWTPs) receiving semiconductor effluents, particularly for the widely used activated sludge process. This study firstly investigated the application of the novel continuous plug-flow sludge dual-reflux anaerobic/oxic/anoxic (AOA) process for treating semiconductor wastewater under F<sup>−</sup> stress through long-term operation. Key findings include the system's ability to maintain high nitrogen removal efficiency under varying hydraulic retention times (HRT) and F<sup>−</sup> concentrations (up to 25 mg/L). The average effluent total inorganic nitrogen (TIN) concentration was 5.0 mg/L with a removal efficiency of 73 % under F<sup>−</sup> concentration of 22.8 ± 3.0 mg/L. A slight removal effect on F attributed to adsorption and co-precipitation mechanisms with activated sludge was achieved. Results of nitrogen balance calculations indicated simultaneous nitrification and denitrification (SND), endogenous denitrification (END) and exogenous denitrification (EXD) collectively contributed to highly efficient nitrogen removal. Microbial community analysis revealed the abundance of typical glycogen accumulating organisms (GAOs) <em>Candidatus_Competibacter</em> (4.7 % to 6.0 %) were selectively enriched under F<sup>−</sup> stress, thereby enhancing the system's denitrification capacity. These findings advance our understanding of the resilience and adaptability of biological wastewater treatment systems in treating semiconductor wastewater.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108315"},"PeriodicalIF":6.3,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634466","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}

引用次数: 0

CFD-based prediction of vortex-induced turbulent flow in urban stormwater manholes: Insights into gravity and pressure flow dynamics 基于cfd的城市雨水井口涡致湍流预测：重力和压力流动动力学的洞察

IF 6.3 2区工程技术

Journal of water process engineering Pub Date : 2025-07-16 DOI: 10.1016/j.jwpe.2025.108346

Weipeng He , Yingsheng Chen , Peng Zhang , Qin Zhang , Jingwei Ma

{"title":"CFD-based prediction of vortex-induced turbulent flow in urban stormwater manholes: Insights into gravity and pressure flow dynamics","authors":"Weipeng He , Yingsheng Chen , Peng Zhang , Qin Zhang , Jingwei Ma","doi":"10.1016/j.jwpe.2025.108346","DOIUrl":"10.1016/j.jwpe.2025.108346","url":null,"abstract":"<div><div>Inaccurate estimation of energy loss in manhole structures during precipitation events can weaken the operational performance of urban stormwater drainage systems, affecting the precision of flood risk assessment. The turbulent behavior, energy transfer patterns and their effects on comprehensive drainage performance of manholes under various flow conditions throughout rainfall duration remain unclear. This study utilized Computational Fluid Dynamics (CFD) simulation methods to investigate the mechanisms by which different flow states (gravity flow and pressure flow) and pipeline bending angles (90°, 105°, 120°, 135°, 150° and 180°) influence the turbulent dynamics and energy transfer patterns of stormwater manholes. The predicted results indicate that reducing the bending angle significantly determined the vortex-induced turbulent motion within the manhole interior and downstream pipeline, increasing velocity gradient differences, streamline curvature and vortex motion intensity. This enhanced the turbulent dissipation rate within the computational domain, particularly near the inverted channel of the manhole and the entrance of the downstream pipeline, resulting in higher head loss. Compared to gravity flow, the presence of an additional head under pressure flow conditions could improve the uniformity and stability of internal flow within the manhole, decreasing the corresponding head loss coefficient. Analysis of temporal characteristics reveals distinct energy transfer processes for gravity- and pressure-driven flow as the duration of rainfall increases. These findings provide insights into predicting abnormal vortex-induced turbulent flow in manholes, optimizing urban stormwater drainage network designs, and improving system performance assessment and flood risk evaluation accuracy.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108346"},"PeriodicalIF":6.3,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634467","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}

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