Journal of water process engineering最新文献_第3页

Coagulation-flocculation process optimization for industrial wastewater treatment: a multi-objective computational solution 工业废水混凝-絮凝工艺优化：多目标计算解

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108703

Kung-Jeng Wang, Pei-Shan Wang

{"title":"Coagulation-flocculation process optimization for industrial wastewater treatment: a multi-objective computational solution","authors":"Kung-Jeng Wang, Pei-Shan Wang","doi":"10.1016/j.jwpe.2025.108703","DOIUrl":"10.1016/j.jwpe.2025.108703","url":null,"abstract":"<div><div>Coagulation-flocculation is widely applied in industrial wastewater treatment due to its effectiveness in removing heavy metals and ensuring water quality. However, traditional chemical dosage decisions rely on empirical methods or regression-based models that are time-consuming and not adaptive to real-time fluctuations. A hybrid computational framework is proposed that integrates Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Artificial Neural Network (ANN) to optimize the coagulation-flocculation process under multiple conflicting objectives. The ANN model is trained using three algorithms, namely Levenberg–Marquardt (LM), Resilient Backpropagation (RP), and Scaled Conjugate Gradient (SCG), to predict key performance indicators, including treatment cost (USD m<sup>−3</sup>), effluent copper concentration (mg L<sup>−1</sup>), and sludge level (ordinal scale 1–5). These predicted outputs are subsequently used by NSGA-II to derive Pareto-optimal solutions that reflect trade-offs among the competing objectives. Experimental results show that the proposed GA-ANN model with LM achieved the highest accuracy and computational efficiency, reducing optimization time from 1400 s to as low as 133 s. Compared to existing models, this approach enables faster, more accurate, and adaptive decision-making, making it highly suitable for real-time industrial applications. The proposed framework provides a novel, data-driven strategy for multi-objective optimization in wastewater treatment, contributing to more sustainable and cost-effective operations.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108703"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096660","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

High-efficiency simultaneous removal of Cr(VI) and As(V) by La-modified UiO-66: competition and synergy la改性UiO-66高效同时去除Cr（VI）和As(V)：竞争与协同作用

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108713

Xixiang Liu , Xiurong Chen , Yongming Luo , Caiyun Han , SuFang He

{"title":"High-efficiency simultaneous removal of Cr(VI) and As(V) by La-modified UiO-66: competition and synergy","authors":"Xixiang Liu , Xiurong Chen , Yongming Luo , Caiyun Han , SuFang He","doi":"10.1016/j.jwpe.2025.108713","DOIUrl":"10.1016/j.jwpe.2025.108713","url":null,"abstract":"<div><div>Much research has focused on the removal of individual contaminants such as As(V) or Cr(VI) from wastewater. However, limited efforts have been devoted to their simultaneous removal in binary systems. This is largely due to the complexity of wastewater matrices and the similar chemical characteristics of As(V) and Cr(VI). In this study, La-modified UiO-66 was synthesized by a one-pot method and employed as a multifunctional adsorbent to simultaneously remove As(V) and Cr(VI) via batch experiments. Characterization results demonstrated that La was successfully grafted onto UiO-66 through Zr-ligand (O)-La and Zr-ligand (O)-Zr linkages, while the <em>fcu</em> structural topology and microporous nature of UiO-66 were well remained. For simultaneous uptake of As(V) and Cr(VI), a synergistic effect of Cr(VI) was observed on As(V) removal, whereas As(V) exhibited an inhibitory effect on Cr(VI) adsorption. Compared with the single component system, the adsorption capacity of As(V) in the binary system increased by approximately 26 %, while the adsorption capacity of Cr(VI) decreased by about 20 %. The enhanced uptake of As(V) was attributed to the formation of a new Cr<img>As complex compound between adsorbed Cr(III) and As(V). In contrast, the inhibitory influence of As(V) on Cr(VI) adsorption was ascribed to the strong affinity of As(V) for the active adsorption sites. Overall, these results demonstrate that La-modified UiO-66 is a promising candidate for the simultaneous removal of As(V) and Cr(VI) in binary systems, particularly under conditions of elevated As(V) concentration.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108713"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096604","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

Spontaneous sequential desalination as a promising strategy for biological salt removal and production of value-added compounds from microalgae 自发顺序脱盐是一种很有前途的微藻生物脱盐和生产增值化合物的策略

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108758

Reham Ebaid , Joachim Henjes , Dieter Hanelt , Stephan Ende

{"title":"Spontaneous sequential desalination as a promising strategy for biological salt removal and production of value-added compounds from microalgae","authors":"Reham Ebaid , Joachim Henjes , Dieter Hanelt , Stephan Ende","doi":"10.1016/j.jwpe.2025.108758","DOIUrl":"10.1016/j.jwpe.2025.108758","url":null,"abstract":"<div><div>In this study, the potential of microalgae for spontaneous desalination was evaluated by assessing growth patterns and cellular specific removal potential (CSRP). <em>Haematococcus</em> sp. showed the highest CSRP (1.99 ng salt cell<sup>−1</sup> in 15 min) and was selected for further optimization. Response surface methodology identified optimal conditions; initial salinity 28 ppt, culture volume 167.4 mL (1.37 g-biomass L<sup>−1</sup> saline), and desalination time 46 min. Under these conditions, CSRP increased to 3.59 ng salt cell<sup>−1</sup>. Sequential desalination through three stages showed overall desalination efficiency of 18.9 %. Interestingly, astaxanthin content of <em>Haematococcus</em> sp. increased by 5.1 % after the third desalination stage. Fourier transform infrared spectroscopy of algal biomass before and after desalination confirmed the active participation of surface functional groups in ion binding. Furthermore, the effect of sequential desalination on fatty acid profiles revealed an increase in the content of fatty acid methyl esters (FAMEs) up to 16.3 % across the three desalination stages, confirming the potential for bioenergy applications. Biodiesel characteristics after sequential desalination showed a stability between the three stages, and all parameters were within those recommended by international standard. This study highlights the potential of <em>Haematococcus</em> sp. for bioactive compounds and biodiesel production, coupled with desalination, thereby helping to address the water-energy nexus.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108758"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096608","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

Rough set machine learning informed decision rules for effective adsorption of methylene blue and Congo red dyes by hydrochar 粗糙集机器学习为烃类有效吸附亚甲基蓝和刚果红染料的决策规则提供信息

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108752

Paramasivan Balasubramanian , Muhil Raj Prabhakar , Bikash Chandra Maharaj , Sivaraman Chandrasekaran , Chong Liu , Jingxian An

{"title":"Rough set machine learning informed decision rules for effective adsorption of methylene blue and Congo red dyes by hydrochar","authors":"Paramasivan Balasubramanian , Muhil Raj Prabhakar , Bikash Chandra Maharaj , Sivaraman Chandrasekaran , Chong Liu , Jingxian An","doi":"10.1016/j.jwpe.2025.108752","DOIUrl":"10.1016/j.jwpe.2025.108752","url":null,"abstract":"<div><div>The remediation of dye-contaminated wastewater has emerged as a critical challenge in environmental management, driving the need for sophisticated predictive approaches to optimize treatment processes. While machine learning applications in hydrochar-mediated dye removal have proliferated, existing studies have failed to establish universally applicable rules across diverse wastewater matrices. This research addresses this gap through the development of a rough set machine learning (RSML) framework that systematically generates interpretable IF-THEN decision rules for adsorption process optimization. Key attributes identified include solution pH, temperature, and the initial concentration ratio of hydrochar to dye, which are critical for accurate predictions of dye removal efficiency. The model's rule induction capability yielded 4 reducts comprising 52 deterministic rules for Congo red and 9 reducts with 75 rules for methylene blue systems, supplemented by 7 and 18 approximate rules, respectively, to handle boundary conditions. The RSML achieved over 80 % accuracy for both dyes, outperforming the existing 14 classifier models. These findings provide significant implications for establishing scientific rules in future dye removal research using hydrochar adsorption, bridging the gap between theoretical adsorption models and practical water treatment applications.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108752"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096605","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

Zinc oxide-modified glass-coated tin-doped indium oxide electrode for the electrocatalytic reduction of hydrogen peroxide in neutral media 氧化锌修饰玻璃包覆锡掺杂氧化铟电极，用于中性介质中过氧化氢的电催化还原

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108748

Nadia Ait Ahmed , Katia Hebbache , Abderrezak Lahreche , Samia Kerakra , Katia Nasri , Nabila Aliouane , Carine Chassigneux , Marielle Eyraud

{"title":"Zinc oxide-modified glass-coated tin-doped indium oxide electrode for the electrocatalytic reduction of hydrogen peroxide in neutral media","authors":"Nadia Ait Ahmed , Katia Hebbache , Abderrezak Lahreche , Samia Kerakra , Katia Nasri , Nabila Aliouane , Carine Chassigneux , Marielle Eyraud","doi":"10.1016/j.jwpe.2025.108748","DOIUrl":"10.1016/j.jwpe.2025.108748","url":null,"abstract":"<div><div>This study investigates the electrodeposition of nanostructured zinc oxide (ZnO) films on indium tin oxide (ITO)-coated glass substrates to develop an electrocatalytic sensor for hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) detection in neutral media. Optimal deposition conditions, −1.0 V versus SCE (saturated calomel electrode) for 10 min, produced ZnO/ITO glass electrodes with the highest H<sub>2</sub>O<sub>2</sub> reduction activity. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) analyses confirmed the formation of homogeneous, well-adhered wurtzite-structured ZnO films on the ITO substrate.</div><div>The performance of the modified electrode was strongly influenced by phosphate buffer solution (PBS), with 0.1 M at pH 7 providing the optimal response. Electrochemical tests demonstrated a linear response for H<sub>2</sub>O<sub>2</sub> concentrations ranging from 0.0625 to 5.00 mM (R<sup>2</sup> = 0.9988), with a sensitivity of 44.7 μA·mM<sup>−1</sup>·cm<sup>−2</sup> and a detection limit (LOD) of 14.8 μM.</div><div>Kinetic studies revealed an electron transfer coefficient (α) of 0.711 and a diffusion coefficient (D) of 3.8 × 10<sup>−7</sup> cm<sup>2</sup>·s<sup>−1</sup>. The sensor retained >95 % of its initial current, showed excellent selectivity against ascorbic acid, glucose, uric acid, and nitrite, and accurately detected H<sub>2</sub>O<sub>2</sub> in tap water and pharmaceutical samples. These findings position the ZnO/ITO glass platform as a cost-effective, reliable, and scalable solution for in situ H₂O₂ monitoring in water treatment and other neutral aqueous applications.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108748"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096606","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

Hybrid prediction model for multi-step wastewater influent quality using adaptive wavelet denoising and enhanced Informer 基于自适应小波去噪和增强Informer的多步污水水质混合预测模型

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108733

Lili Ma , Danxia Li , Jinrong He , Zhirui Niu , Zheng Liu , Zhihua Feng , Caiyan Lin

{"title":"Hybrid prediction model for multi-step wastewater influent quality using adaptive wavelet denoising and enhanced Informer","authors":"Lili Ma , Danxia Li , Jinrong He , Zhirui Niu , Zheng Liu , Zhihua Feng , Caiyan Lin","doi":"10.1016/j.jwpe.2025.108733","DOIUrl":"10.1016/j.jwpe.2025.108733","url":null,"abstract":"<div><div>Accurate multi-step influent quality forecasting is essential for ensuring the stable operation and regulatory compliance of wastewater treatment plants (WWTPs). However, existing models struggle with sensor noise suppression, temporal dependency modelling, and the simultaneous capture of global trends and local fluctuations, limiting their predictive accuracy and robustness. To address these challenges, we propose Dynamic Thresholding Wavelet Transform-enhanced Informer (DTWT-EInformer), a hybrid framework that integrates DTWT with an EInformer architecture. The DTWT adaptively filters non-stationary noise using level-aware thresholds while preserving key signal features. The EInformer incorporates positional and temporal encoding, ProbSparse self-attention, and Dilated Causal Convolution Distillation to jointly capture long-term dependencies and short-term fluctuations under temporal causality constraints. The model was trained and validated using influent water quality and meteorological datasets collected at 30-min resolution over a 1-year monitoring campaign from a full-scale WWTP in Yan’an, China. The target variables were chemical oxygen demand (COD) and ammonia nitrogen (NH<span><math><msub><mrow></mrow><mrow><mn>3</mn></mrow></msub></math></span>-N), with forecast horizons ranging from 5–45 steps ahead (2.5–22.5 h). The experimental results showed that DTWT-EInformer reduced the mean squared error (MSE) and root MSE (RMSE) by over 90% relative to baseline models, achieved <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> values of 0.9976 (COD) and 0.9986 (NH<span><math><msub><mrow></mrow><mrow><mn>3</mn></mrow></msub></math></span>-N), and maintained symmetric mean absolute percentage error (SMAPE) below 1%. The average inference time of 291–302 ms demonstrated its suitability for real-time deployment in WWTP operations.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108733"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096607","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

Converging waste streams: dual valorization of azeotropic effluents and bioplastic solids 汇聚废物流：共沸废水和生物塑料固体的双重增值

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108692

Wenbin Lai , Honghao Zheng , Zixuan Tan , Rongze Lin , Shaoqu Xie

{"title":"Converging waste streams: dual valorization of azeotropic effluents and bioplastic solids","authors":"Wenbin Lai , Honghao Zheng , Zixuan Tan , Rongze Lin , Shaoqu Xie","doi":"10.1016/j.jwpe.2025.108692","DOIUrl":"10.1016/j.jwpe.2025.108692","url":null,"abstract":"<div><div>The efficient valorization of industrial wastewater and plastic solid waste constitutes a major challenge in sustainable chemical manufacturing. This study presents an integrated strategy that concurrently tackles the separation of dioxane–ethanol–water ternary azeotropes and the upcycling of polylactic acid (PLA) waste. By employing potassium carbonate (K<sub>2</sub>CO<sub>3</sub>) as a bifunctional agent, we combine salting-out separation and base-catalyzed alcoholysis into a single process. K<sub>2</sub>CO<sub>3</sub> not only facilitates phase separation, achieving >99 % recovery of both dioxane and ethanol with a residual water content below 0.67 wt%, but also catalyzes the depolymerization of PLA within the organic-rich phase. The dehydrated extract serves as a reactive medium, efficiently converting PLA into ethyl lactate with a yield of 65.18 %. This approach establishes a novel reactive azeotrope-breaking pathway. The resulting ethyl lactate and dioxane can be separated via fractional distillation without requiring external solvents or further purification. This integrated methodology transforms two challenging waste streams, namely azeotropic solvent effluents and PLA plastics, into value-added products through a consolidated and solvent-minimized process. Our work provides a blueprint for coupling separation science with catalytic valorization in waste-intensive industries.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108692"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096609","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

Study on the performance of gas-liquid-solid multi-phase spiral separator for oilfield recovery fluids separation 气液固多相螺旋分离器用于油田采出液分离的性能研究

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108764

Haonan Wu (吴浩男) , Yan Xu (徐艳) , Zhong Yin (印重) , Yuejuan Yan (闫月娟) , Sen Li (李森) , Jinglong Zhang (张井龙) , Jiaxiang Wang (王家祥)

{"title":"Study on the performance of gas-liquid-solid multi-phase spiral separator for oilfield recovery fluids separation","authors":"Haonan Wu (吴浩男) , Yan Xu (徐艳) , Zhong Yin (印重) , Yuejuan Yan (闫月娟) , Sen Li (李森) , Jinglong Zhang (张井龙) , Jiaxiang Wang (王家祥)","doi":"10.1016/j.jwpe.2025.108764","DOIUrl":"10.1016/j.jwpe.2025.108764","url":null,"abstract":"<div><div>Efficient gas–liquid–solid pre-separation of oilfield recovery fluids is essential for downstream processing. Conventional feed systems fail to separate sand, suffer from high pressure drops, and operate with low efficiency. This study introduces a spiral multiphase pre-separator (SMPPS) and employs computational fluid dynamics (CFD) to examine flow distribution, separation mechanisms, and the effects of gas fraction, particle size, and viscosity on performance. Results show that the SMPPS stabilizes the flow field, suppresses turbulence, and maintains a pressure drop below 0.025 MPa. Performance boundaries are defined: at 35–40 % gas fraction, 0.2–0.3 mm particle size, and 1–3 mPa·s viscosity, gas and solid separation efficiencies exceed 91 % and 73 %. These findings provide both theoretical guidance and practical support for optimizing multiphase pre-separation and applying spiral separators in oilfield operations.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108764"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096613","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

Enhanced phosphate removal and recovery by Mg/Al-layered double hydroxide modified D201 resin for water treatment Mg/ al层状双氢氧化物改性D201树脂对水处理中磷酸盐的去除和回收

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108767

Jirui Zou , Anlei Wei , Yaqi Zhu , Kangrong Tang , Zixuan Wang , Hanxiao Shi

{"title":"Enhanced phosphate removal and recovery by Mg/Al-layered double hydroxide modified D201 resin for water treatment","authors":"Jirui Zou , Anlei Wei , Yaqi Zhu , Kangrong Tang , Zixuan Wang , Hanxiao Shi","doi":"10.1016/j.jwpe.2025.108767","DOIUrl":"10.1016/j.jwpe.2025.108767","url":null,"abstract":"<div><div>A novel Mg/Al-LDH@D201 composite was synthesized by combining Mg/Al layered double hydroxide (LDH) with D201 anion-exchange resin, achieving synergistic phosphate adsorption exceeding the capabilities of individual components. This enhanced performance stems from D201's ion exchange and LDH's dual mechanisms (interlayer exchange and surface complexation), confirmed by X-ray photoelectron spectroscopy (XPS) and Fourier transform infrared spectroscopy (FTIR) analyses. Scanning electron microscopy (SEM) revealed increased surface roughness with LDH loading, indicating more adsorption sites, while X-ray diffraction (XRD) confirmed high LDH crystallinity. Batch experiments showed a high adsorption capacity (49.51 mg g<sup>−1</sup> at 298 K), rapid kinetics, and excellent selectivity across pH = 7–8, even with competing anions (e.g., sulfate, nitrate). Fixed-bed studies assessed bed height, flow rate, and initial concentration, demonstrating effective continuous phosphate removal for wastewater treatment. Efficient regeneration (>80 % over five cycles) highlights practical potential. The synergistic interaction, enhanced surface properties, and selectivity position Mg/Al-LDH@D201 as a promising material for efficient phosphate removal and recovery from aqueous solutions. DFT calculations further supported these mechanisms by revealing strong binding affinities between phosphate species and Mg/Al-LDH@D201 surface sites.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108767"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096610","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

Beyond point predictions: Quantifying uncertainty in E. coli ML-based monitoring 超越点预测：量化大肠杆菌基于ml的监测中的不确定性

IF 6.7 2区工程技术

Journal of water process engineering Pub Date : 2025-09-17 DOI: 10.1016/j.jwpe.2025.108734

David Abert-Fernández , Ester Aguilera , Pere Emiliano , Fernando Valero , Hèctor Monclús

{"title":"Beyond point predictions: Quantifying uncertainty in E. coli ML-based monitoring","authors":"David Abert-Fernández , Ester Aguilera , Pere Emiliano , Fernando Valero , Hèctor Monclús","doi":"10.1016/j.jwpe.2025.108734","DOIUrl":"10.1016/j.jwpe.2025.108734","url":null,"abstract":"<div><div>Machine learning regression models are increasingly used to improve management, decision-making, and monitoring of drinking water quality, leveraging growing data from real-time sensors and laboratory analyses. However, most models provide only point predictions, ignoring inherent uncertainty caused by unobserved factors that can produce varying outcomes under similar conditions. This study benchmarks state-of-the-art regression algorithms and uncertainty quantification methods for predicting <em>E. coli</em> concentrations in a drinking water catchment. Gradient-boosted decision trees (GBDT) proved effective for real-time tracking, with CatBoost achieving the lowest error (RMSLE = 0.877), improving on the naïve baseline (1.160) and outperforming Random Forest by 5 %. Uncertainty quantification techniques successfully generated valid prediction intervals to identify high-risk contamination events, with Conformalized Quantile Regression emerging as the most reliable method. By combining accurate GBDT predictions with well-calibrated uncertainty estimates, this approach enhances microbial water quality forecasting, offering improved risk assessment and supporting more robust decision-making in drinking water management.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108734"},"PeriodicalIF":6.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096611","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