Journal of water process engineering最新文献

Analytical approaches to track nylon 6 microplastic fiber degradation using HKUST-1(Cu/Fe)-derived CuO/TiO2 photocatalyst

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-15 DOI: 10.1016/j.jwpe.2025.107192

Ángel Eduardo Rodríguez-Olivares , Jorge Luis Guzmán-Mar , Pedro César Quero-Jiménez , Sagrario M. Montemayor , Lourdes Maya-Treviño , Laura Hinojosa-Reyes

Nylon 6 microplastic (MP) degradation was performed for the first time by photocatalysis using HKUST-1(Cu/Fe)-derived CuO/TiO₂ (TCFH). The TCFH composites with 5, 10, and 15 wt % of HKUST-1(Cu/Fe) were synthesized using the solvothermal method, followed by calcination, and deposited on borosilicate glass. The prepared materials were analyzed using TGA/DSC, UV–Vis/DRS, PL spectroscopy, XRD, XPS, FTIR, N₂ physisorption, and SEM-EDS techniques to confirm their crystallinity, chemical bonding, porosity, thermal, optical, and morphological properties. With an increase in HKUST-1(Cu/Fe) content in TiO₂, the crystallite size, surface area, and pore size increased, whereas the bandgap energy and the recombination rate of photogenerated e⁻/h⁺ pairs decreased compared to TiO₂, favoring nylon 6 MP degradation. The TCFH (15 wt %) displayed optimal MP degradation performance, degrading MPs at pH 7 under UV–Vis light, showing an increase in TOC content during MP degradation (11.42 mg L⁻¹), related to the presence of soluble by-products, a decrease in turbidity associated with the reduction in particle size and MP concentration, and a decrease in amide signal intensity at 3090 cm⁻¹ compared with values observed during photolysis and TiO₂ photocatalysis. SEM and XPS analyses confirmed the oxidation and breakage of the MP polymeric chain. Soluble organic compounds such as aldehydes, amides, and carboxylic acids generated during MP degradation were detected by GC–MS. Thus, photocatalysis using the bimetallic MOF HKUST-1(Cu/Fe)-derived CuO/TiO₂ is a promising treatment for eliminating polyamide MPs in water effluents, where reactive oxygen species (^•OH and O₂⁻) contribute to their degradation.

{"title":"Analytical approaches to track nylon 6 microplastic fiber degradation using HKUST-1(Cu/Fe)-derived CuO/TiO2 photocatalyst","authors":"Ángel Eduardo Rodríguez-Olivares , Jorge Luis Guzmán-Mar , Pedro César Quero-Jiménez , Sagrario M. Montemayor , Lourdes Maya-Treviño , Laura Hinojosa-Reyes","doi":"10.1016/j.jwpe.2025.107192","DOIUrl":"10.1016/j.jwpe.2025.107192","url":null,"abstract":"<div><div>Nylon 6 microplastic (MP) degradation was performed for the first time by photocatalysis using HKUST-1(Cu/Fe)-derived CuO/TiO<sub>2</sub> (TCFH). The TCFH composites with 5, 10, and 15 wt % of HKUST-1(Cu/Fe) were synthesized using the solvothermal method, followed by calcination, and deposited on borosilicate glass. The prepared materials were analyzed using TGA/DSC, UV–Vis/DRS, PL spectroscopy, XRD, XPS, FTIR, N<sub>2</sub> physisorption, and SEM-EDS techniques to confirm their crystallinity, chemical bonding, porosity, thermal, optical, and morphological properties. With an increase in HKUST-1(Cu/Fe) content in TiO<sub>2</sub>, the crystallite size, surface area, and pore size increased, whereas the bandgap energy and the recombination rate of photogenerated <em>e</em><sup><em>−</em></sup><em>/h</em><sup><em>+</em></sup> pairs decreased compared to TiO<sub>2</sub>, favoring nylon 6 MP degradation. The TCFH (15 wt %) displayed optimal MP degradation performance, degrading MPs at pH 7 under UV–Vis light, showing an increase in TOC content during MP degradation (11.42 mg L<sup>−1</sup>), related to the presence of soluble by-products, a decrease in turbidity associated with the reduction in particle size and MP concentration, and a decrease in amide signal intensity at 3090 cm<sup>−1</sup> compared with values observed during photolysis and TiO<sub>2</sub> photocatalysis. SEM and XPS analyses confirmed the oxidation and breakage of the MP polymeric chain. Soluble organic compounds such as aldehydes, amides, and carboxylic acids generated during MP degradation were detected by GC–MS. Thus, photocatalysis using the bimetallic MOF HKUST-1(Cu/Fe)-derived CuO/TiO<sub>2</sub> is a promising treatment for eliminating polyamide MPs in water effluents, where reactive oxygen species (<sup>•</sup>OH and O<sub>2</sub><img><sup>−</sup>) contribute to their degradation.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107192"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422246","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

Influence of carbon source supplementation on the development of autotrophic nitrification and microbial community composition in biofloc technology systems

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-15 DOI: 10.1016/j.jwpe.2025.107215

Shengjiang Chen , Li Li , Xuan Dong , Xiangli Tian

Biofloc technology (BFT) is an eco-friendly water management strategy in intensive aquaculture that uses carbon sources to enhance ammonia assimilation by heterotrophic bacteria (HBA). However, the effect of these carbon sources on chemoautotrophic nitrification (CAN) in BFT systems is unclear, hindering efficient practice development. We conducted a 110-day experiment to evaluate the effects of two types of carbon sources: glucose (soluble) and polyhydroxy butyrate-hydroxy valerate (PHBV, slow-release), compared to a control group without carbon source addition. The results indicated that CAN was established in all reactors. However, the peak nitrate concentration occurred later in the glucose-supplemented group on day 45, compared to day 24 in the control group and day 28 in the PHBV group. The findings align with the observation that glucose addition led to reduced abundances of bacterial amoA and nxrB genes. The treatment with PHBV supplementation closely resembled the control in terms of inorganic nitrogen and microbial profiles. However, the addition of substrate and glucose apparently altered the microbial community. Microbial samples were clustered into three distinct groups, with biomarkers identified at the order level: Flavobacteriales & Enterobacterales for cluster I, Myxococcales for cluster II, and Rhodobacterales & Micrococcales for cluster III. These clusters and biomarkers were closely associated with environmental factors. The Sloan neutral community model indicated that deterministic processes governed microbial community assembly. Notably, the relative contribution of the deterministic process increased with the addition of substrate and carbon sources. These findings provide valuable guidance for enhancing and maintaining BFT systems in aquaculture wastewater treatment.

{"title":"Influence of carbon source supplementation on the development of autotrophic nitrification and microbial community composition in biofloc technology systems","authors":"Shengjiang Chen , Li Li , Xuan Dong , Xiangli Tian","doi":"10.1016/j.jwpe.2025.107215","DOIUrl":"10.1016/j.jwpe.2025.107215","url":null,"abstract":"<div><div>Biofloc technology (BFT) is an eco-friendly water management strategy in intensive aquaculture that uses carbon sources to enhance ammonia assimilation by heterotrophic bacteria (HBA). However, the effect of these carbon sources on chemoautotrophic nitrification (CAN) in BFT systems is unclear, hindering efficient practice development. We conducted a 110-day experiment to evaluate the effects of two types of carbon sources: glucose (soluble) and polyhydroxy butyrate-hydroxy valerate (PHBV, slow-release), compared to a control group without carbon source addition. The results indicated that CAN was established in all reactors. However, the peak nitrate concentration occurred later in the glucose-supplemented group on day 45, compared to day 24 in the control group and day 28 in the PHBV group. The findings align with the observation that glucose addition led to reduced abundances of bacterial <em>amoA</em> and <em>nxrB</em> genes. The treatment with PHBV supplementation closely resembled the control in terms of inorganic nitrogen and microbial profiles. However, the addition of substrate and glucose apparently altered the microbial community. Microbial samples were clustered into three distinct groups, with biomarkers identified at the order level: Flavobacteriales & Enterobacterales for cluster I, Myxococcales for cluster II, and Rhodobacterales & Micrococcales for cluster III. These clusters and biomarkers were closely associated with environmental factors. The Sloan neutral community model indicated that deterministic processes governed microbial community assembly. Notably, the relative contribution of the deterministic process increased with the addition of substrate and carbon sources. These findings provide valuable guidance for enhancing and maintaining BFT systems in aquaculture wastewater treatment.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107215"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422248","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

A dynamic model for the prediction of malodorous compounds production from anaerobic methanogenic biofilm

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-15 DOI: 10.1016/j.jwpe.2025.107230

Malek G. Hajaya , Rawan N. AlKaraki , Nataliia Kurnikova , Sergio Bordel , Raúl Muñoz

A dynamic 1-D mathematical model for production and emission of a group of malodorous Volatile Sulphurous Compounds (VSCs) and volatile fatty acids from anaerobic microbial biofilms was herein formulated, calibrated, and validated. Mathematically, the biofilm was modelled using a multispecies approach, while microbial activity was modelled using the well-established Anaerobic Digestion Model 1 framework, amended with biochemical and physico-chemical processes to accurately represent the kinetics and compounds transportation in anaerobic methanogenic sulphate reducing biofilms. The model was formulated as an integrated Anaerobic Biofilm Reactor Model (ABRM) that provides a combined a dynamic output based on the processes taking place in the biofilm, liquid, and gas phases. Published experimental data representing the production of the targeted malodorous compounds obtained from a multi-reactor, lab-scale, anaerobic biofilm containing system fed with real wastewater was used to calibrate the model's parameters and to validate its predictions. ABRM predicted sulphite reduction and methanogenesis kinetics with R² values ≥0.916 and matched the trends of spatial and temporal variations of the experimental targeted malodorous compounds concentrations inside the reactors with Spearman's rank correlation coefficients ≥0.922. Simulation results for ABRM predicted spatial variations in the anaerobic biofilm's microbial species distribution, abundance, growth, substrate competition and uptake, hydrogen sulphate inhibition, and the levels of targeted malodorous compounds production and emissions in response to changes in operational conditions. In an integrated approach for odour control strategies, ABRM can play a great role in predicting malodorous emissions from microbial biofilms in wastewater treatment processes.

{"title":"A dynamic model for the prediction of malodorous compounds production from anaerobic methanogenic biofilm","authors":"Malek G. Hajaya , Rawan N. AlKaraki , Nataliia Kurnikova , Sergio Bordel , Raúl Muñoz","doi":"10.1016/j.jwpe.2025.107230","DOIUrl":"10.1016/j.jwpe.2025.107230","url":null,"abstract":"<div><div>A dynamic 1-D mathematical model for production and emission of a group of malodorous Volatile Sulphurous Compounds (VSCs) and volatile fatty acids from anaerobic microbial biofilms was herein formulated, calibrated, and validated. Mathematically, the biofilm was modelled using a multispecies approach, while microbial activity was modelled using the well-established Anaerobic Digestion Model 1 framework, amended with biochemical and physico-chemical processes to accurately represent the kinetics and compounds transportation in anaerobic methanogenic sulphate reducing biofilms. The model was formulated as an integrated Anaerobic Biofilm Reactor Model (ABRM) that provides a combined a dynamic output based on the processes taking place in the biofilm, liquid, and gas phases. Published experimental data representing the production of the targeted malodorous compounds obtained from a multi-reactor, lab-scale, anaerobic biofilm containing system fed with real wastewater was used to calibrate the model's parameters and to validate its predictions. ABRM predicted sulphite reduction and methanogenesis kinetics with R<sup>2</sup> values ≥0.916 and matched the trends of spatial and temporal variations of the experimental targeted malodorous compounds concentrations inside the reactors with Spearman's rank correlation coefficients ≥0.922. Simulation results for ABRM predicted spatial variations in the anaerobic biofilm's microbial species distribution, abundance, growth, substrate competition and uptake, hydrogen sulphate inhibition, and the levels of targeted malodorous compounds production and emissions in response to changes in operational conditions. In an integrated approach for odour control strategies, ABRM can play a great role in predicting malodorous emissions from microbial biofilms in wastewater treatment processes.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107230"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422251","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 accuracy and interpretability of nitrous oxide emission prediction of wastewater treatment plants through machine learning of univariate time series: A novel approach of learning feature reconstruction

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-15 DOI: 10.1016/j.jwpe.2025.107263

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

Nitrous oxide (N₂O) is a greenhouse gas (GHG) emitted from wastewater treatment plants (WWTPs), but it is difficult to monitor by conventional methods. Machine learning (ML) have been proposed to predict N₂O emissions from WWTPs, on the other hand, univariate time series are widely used in various fields, but the existing shortcomings are difficult to solve, including the low performance and the difficulty of evaluating the interpretability of the model. In this paper, four models, random forest (RF), long short-term memory (LSTM), recurrent neural network (RNN), and support vector machine (SVM), are used to predict the 12-month N₂O monitoring data of a WWTP. Meanwhile, taking the dynamic characteristics of the original univariate time series as a multivariate time series. The results show that the R² of accuracy increases from 0.9768 to 0.9999, the R² of K-Fold Cross-Validation increases from 0.8966 to 0.9999 for the RF model with the best overall performance and SHAP analysis becomes feasible. The study offers a viable approach to enhancing the precision, resilience, and comprehensibility of the model for monitoring univariate time series in other WWTPs.

{"title":"Enhanced accuracy and interpretability of nitrous oxide emission prediction of wastewater treatment plants through machine learning of univariate time series: A novel approach of learning feature reconstruction","authors":"Zixuan Wang, Anlei Wei, Kangrong Tang, Hanxiao Shi, Jirui Zou, Hao Hu, Yaqi Zhu","doi":"10.1016/j.jwpe.2025.107263","DOIUrl":"10.1016/j.jwpe.2025.107263","url":null,"abstract":"<div><div>Nitrous oxide (N<sub>2</sub>O) is a greenhouse gas (GHG) emitted from wastewater treatment plants (WWTPs), but it is difficult to monitor by conventional methods. Machine learning (ML) have been proposed to predict N<sub>2</sub>O emissions from WWTPs, on the other hand, univariate time series are widely used in various fields, but the existing shortcomings are difficult to solve, including the low performance and the difficulty of evaluating the interpretability of the model. In this paper, four models, random forest (RF), long short-term memory (LSTM), recurrent neural network (RNN), and support vector machine (SVM), are used to predict the 12-month N<sub>2</sub>O monitoring data of a WWTP. Meanwhile, taking the dynamic characteristics of the original univariate time series as a multivariate time series. The results show that the R<sup>2</sup> of accuracy increases from 0.9768 to 0.9999, the R<sup>2</sup> of K-Fold Cross-Validation increases from 0.8966 to 0.9999 for the RF model with the best overall performance and SHAP analysis becomes feasible. The study offers a viable approach to enhancing the precision, resilience, and comprehensibility of the model for monitoring univariate time series in other WWTPs.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107263"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422245","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

Understanding of the effect of COD/SO42− ratios and hydraulic retention times on an MFC-EGSB coupling system for treatment sulfate wastewater: Performance and potential mechanisms

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-15 DOI: 10.1016/j.jwpe.2025.107244

Jinyan Wu , Yuan He , Guangrong Zhou , Fuyao Wei , Tingting Chen , Xiaoyuan Wang , Shenglong Chen , Xue Deng , Chengyuan Su

In this study, the microbial fuel cell-expanded granular sludge bed (MFC-EGSB) coupling system was constructed to investigate the removal of chemical oxygen demand (COD) and sulfate (SO₄²⁻), electrochemical performance, and the changes of microbial community structure under different COD/SO₄²⁻ ratios and hydraulic retention time (HRT) operating conditions. As the COD/SO₄²⁻ ratios decreased from 1 to 0.67, 0.44 (stages I, stage II, and stage III), the COD removal efficiency in the MFC-EGSB coupling system decreased and the average removal rate decreased from 48.91 % to 45.47 % and 37.49 %. At the same time, the output voltage of the MFC-EGSB coupling system reduced. Proteobacteria and Euryarchaeota were the dominant phylum in the first three stages of the MFC-EGSB coupling system and EGSB system. When HRT was extended to 48 h (stage IV), the COD removal efficiency of the MFC-EGSB coupling system and the EGSB system increased to 58.88 % and 72.24 %, respectively. Meanwhile, the relative abundance of Bacillota responsible for power generation increased, and the expression of the dissimilatory sulfate reduction pathway module (MD: M00596) was up-regulated, with high sulfate reduction potential. The increase in HRT was beneficial to the conversion between sulfite and sulfide. These results could be used as a reference for choosing the operation parameters reasonably for sulphate wastewater treatment.

{"title":"Understanding of the effect of COD/SO42− ratios and hydraulic retention times on an MFC-EGSB coupling system for treatment sulfate wastewater: Performance and potential mechanisms","authors":"Jinyan Wu , Yuan He , Guangrong Zhou , Fuyao Wei , Tingting Chen , Xiaoyuan Wang , Shenglong Chen , Xue Deng , Chengyuan Su","doi":"10.1016/j.jwpe.2025.107244","DOIUrl":"10.1016/j.jwpe.2025.107244","url":null,"abstract":"<div><div>In this study, the microbial fuel cell-expanded granular sludge bed (MFC-EGSB) coupling system was constructed to investigate the removal of chemical oxygen demand (COD) and sulfate (SO<sub>4</sub><sup>2−</sup>), electrochemical performance, and the changes of microbial community structure under different COD/SO<sub>4</sub><sup>2−</sup> ratios and hydraulic retention time (HRT) operating conditions. As the COD/SO<sub>4</sub><sup>2−</sup> ratios decreased from 1 to 0.67, 0.44 (stages I, stage II, and stage III), the COD removal efficiency in the MFC-EGSB coupling system decreased and the average removal rate decreased from 48.91 % to 45.47 % and 37.49 %. At the same time, the output voltage of the MFC-EGSB coupling system reduced. Proteobacteria and Euryarchaeota were the dominant phylum in the first three stages of the MFC-EGSB coupling system and EGSB system. When HRT was extended to 48 h (stage IV), the COD removal efficiency of the MFC-EGSB coupling system and the EGSB system increased to 58.88 % and 72.24 %, respectively. Meanwhile, the relative abundance of Bacillota responsible for power generation increased, and the expression of the dissimilatory sulfate reduction pathway module (MD: M00596) was up-regulated, with high sulfate reduction potential. The increase in HRT was beneficial to the conversion between sulfite and sulfide. These results could be used as a reference for choosing the operation parameters reasonably for sulphate wastewater treatment.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107244"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422244","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

Life cycle assessment of industrial wastewater treatment: Evaluating the environmental impact of electrocoagulation technologies

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-15 DOI: 10.1016/j.jwpe.2025.107257

Omid Sedaghat , Nader Bahramifar , Mohsen Nowrouzi , Habibollah Younesi

Discharging textile industry wastewater with high pollutant content and implementing treatment systems with minimal environmental impact are critical challenges. Therefore, this study was conducted to evaluate the life cycle assessment (LCA) of the applied electrocoagulation (EC) process, to optimize the EC process and advance knowledge about the potential environmental impacts of textile wastewater treatment. The ReCiPe midpoint and endpoint (H) methods were chosen for their reliability and comprehensive scope. Accordingly, optimizing key parameters was investigated to achieve maximum chemical oxygen demand (COD) removal using response surface methodology. The results indicated that 96.6 % COD removal was achieved under optimal conditions of pH 6, current density of 10 mA/cm², and an operation time of 25 min. The LCA results showed that global warming (18.13 kg CO₂-eq, 40 %), terrestrial ecotoxicity (14.74 kg 1,4-DCB-eq, 33 %), and fossil resource scarcity (6.28 kg oil-eq, 14 %) were the most impacted categories by the EC process. Electricity consumption in the EC system was identified as the primary contributor to global warming, leading to 18.13 kg CO₂-equivalent emissions. Additionally, using a cathode-anode switcher significantly reduced water consumption from 0.5 to 0.22 m³. Endpoint results highlighted the substantial impact of the EC process on human health (93.77 %). Sensitivity analysis revealed that a 20 % increase in electricity consumption affected all impact categories, ranging from 1.49 % to 5.52 %. The LCC analysis revealed that the largest cost burdens were associated with construction costs (31.9 %), equipment (7.3 %), and energy expenses (4.7 %). The cumulative energy demand assessment indicated that 306 MJ of energy consumption was related to electricity generation, which could be reduced by utilizing solar and renewable energy sources. In conclusion, incorporating green alternatives for energy production can be proposed as an eco-friendly solution, offering valuable insights for sustainable wastewater management in the textile industry.

{"title":"Life cycle assessment of industrial wastewater treatment: Evaluating the environmental impact of electrocoagulation technologies","authors":"Omid Sedaghat , Nader Bahramifar , Mohsen Nowrouzi , Habibollah Younesi","doi":"10.1016/j.jwpe.2025.107257","DOIUrl":"10.1016/j.jwpe.2025.107257","url":null,"abstract":"<div><div>Discharging textile industry wastewater with high pollutant content and implementing treatment systems with minimal environmental impact are critical challenges. Therefore, this study was conducted to evaluate the life cycle assessment (LCA) of the applied electrocoagulation (EC) process, to optimize the EC process and advance knowledge about the potential environmental impacts of textile wastewater treatment. The ReCiPe midpoint and endpoint (H) methods were chosen for their reliability and comprehensive scope. Accordingly, optimizing key parameters was investigated to achieve maximum chemical oxygen demand (COD) removal using response surface methodology. The results indicated that 96.6 % COD removal was achieved under optimal conditions of pH 6, current density of 10 mA/cm<sup>2</sup>, and an operation time of 25 min. The LCA results showed that global warming (18.13 kg CO₂-eq, 40 %), terrestrial ecotoxicity (14.74 kg 1,4-DCB-eq, 33 %), and fossil resource scarcity (6.28 kg oil-eq, 14 %) were the most impacted categories by the EC process. Electricity consumption in the EC system was identified as the primary contributor to global warming, leading to 18.13 kg CO<sub>2</sub>-equivalent emissions. Additionally, using a cathode-anode switcher significantly reduced water consumption from 0.5 to 0.22 m<sup>3</sup>. Endpoint results highlighted the substantial impact of the EC process on human health (93.77 %). Sensitivity analysis revealed that a 20 % increase in electricity consumption affected all impact categories, ranging from 1.49 % to 5.52 %. The LCC analysis revealed that the largest cost burdens were associated with construction costs (31.9 %), equipment (7.3 %), and energy expenses (4.7 %). The cumulative energy demand assessment indicated that 306 MJ of energy consumption was related to electricity generation, which could be reduced by utilizing solar and renewable energy sources. In conclusion, incorporating green alternatives for energy production can be proposed as an eco-friendly solution, offering valuable insights for sustainable wastewater management in the textile industry.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107257"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422247","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

Mesocosm constructed wetlands for tetracycline-stressed effluent treatment: Evaluating substrate and vegetation synergies

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-15 DOI: 10.1016/j.jwpe.2025.107194

Lan Yang , Kai Chen , Yanxia Ma , Long Chen , Aiyi Wang , Farhan Hafeez , Jiabin Wang , Junyu Zheng , Zhuo Li , Hongtao Zhu

Tetracycline (TC) in treated wastewater poses considerable environmental risks. Constructed wetlands (CWs) are crucial for mitigating TC contamination and enhancing wastewater treatment. This study evaluated the performance of three mesocosm CWs, each planted with different emergent macrophytes, under exposure to 1 mg/L TC. Results revealed notable improvements in feeding tailwater quality, with removal rates of total nitrogen, total phosphorus, and chemical oxygen demand ranging from 30 to 40 %, 80–85 %, and 20–25 %, respectively. Nitrate removal primarily occurred through plant absorption. After 81 days, Typha orientalis C. Presl in CW-B achieved the highest biomass (1962.9 g/m²), demonstrating superior carbon sequestration potential compared to Canna indica L. and Phragmites australis. The rhizosphere bacteriome of Phragmites australis and Typha orientalis C. Presl showed greater efficacy in removing NH₄⁺-N, while that of Canna indica L. was more effective in removing NO₃⁻-N, TN, and TP. These findings highlight the pivotal role of CW vegetation in contaminant removal and carbon sequestration, emphasizing the synergistic interactions among substrate, vegetation, and rhizosphere microbiota in treating secondary effluent under TC stress.

{"title":"Mesocosm constructed wetlands for tetracycline-stressed effluent treatment: Evaluating substrate and vegetation synergies","authors":"Lan Yang , Kai Chen , Yanxia Ma , Long Chen , Aiyi Wang , Farhan Hafeez , Jiabin Wang , Junyu Zheng , Zhuo Li , Hongtao Zhu","doi":"10.1016/j.jwpe.2025.107194","DOIUrl":"10.1016/j.jwpe.2025.107194","url":null,"abstract":"<div><div>Tetracycline (TC) in treated wastewater poses considerable environmental risks. Constructed wetlands (CWs) are crucial for mitigating TC contamination and enhancing wastewater treatment. This study evaluated the performance of three mesocosm CWs, each planted with different emergent macrophytes, under exposure to 1 mg/L TC. Results revealed notable improvements in feeding tailwater quality, with removal rates of total nitrogen, total phosphorus, and chemical oxygen demand ranging from 30 to 40 %, 80–85 %, and 20–25 %, respectively. Nitrate removal primarily occurred through plant absorption. After 81 days, <em>Typha orientalis</em> C. Presl in CW-B achieved the highest biomass (1962.9 g/m<sup>2</sup>), demonstrating superior carbon sequestration potential compared to <em>Canna indica</em> L. and <em>Phragmites australis</em>. The rhizosphere bacteriome of <em>Phragmites australis</em> and <em>Typha orientalis</em> C. Presl showed greater efficacy in removing NH<sub>4</sub><sup>+</sup>-N, while that of <em>Canna indica</em> L. was more effective in removing NO<sub>3</sub><sup>−</sup>-N, TN, and TP. These findings highlight the pivotal role of CW vegetation in contaminant removal and carbon sequestration, emphasizing the synergistic interactions among substrate, vegetation, and rhizosphere microbiota in treating secondary effluent under TC stress.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107194"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422249","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

Explainable aeration prediction using deep learning with interpretability analysis

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-15 DOI: 10.1016/j.jwpe.2025.107218

Xingkai Zou , Shenglan Wang , Wenjie Mai , Xiaohui Yi , Mi Lin , Chao Zhang , Zhenguo Chen , Mingzhi Huang

The rapid development of urban areas and increasing industrial activity have escalated the significance of effective wastewater treatment to maintain ecological balance and support essential ecosystem services. However, traditional aeration control methods in wastewater treatment plants (WWTPs) often fall short due to their inability to adapt dynamically to varying operational conditions, leading to inefficiencies in energy usage and treatment outcomes. This study introduces a novel predictive model that leverages a Multi-Scale Convolutional Neural Network (MCNN) combined with Transformer technology to enhance the accuracy and control of aeration processes. The model's effectiveness was validated using a comprehensive dataset from a WWTP, covering a range of operational parameters influencing aeration demand. Results indicate that the MCNN-Transformer model significantly outperforms traditional methods by accurately predicting aeration needs, thereby optimizing energy consumption and reducing operational costs. The implications of this study are profound, offering a scalable solution that can be integrated into existing WWTP operations to enhance efficiency and sustainability while providing a methodological framework for future research in environmental management and engineering.

{"title":"Explainable aeration prediction using deep learning with interpretability analysis","authors":"Xingkai Zou , Shenglan Wang , Wenjie Mai , Xiaohui Yi , Mi Lin , Chao Zhang , Zhenguo Chen , Mingzhi Huang","doi":"10.1016/j.jwpe.2025.107218","DOIUrl":"10.1016/j.jwpe.2025.107218","url":null,"abstract":"<div><div>The rapid development of urban areas and increasing industrial activity have escalated the significance of effective wastewater treatment to maintain ecological balance and support essential ecosystem services. However, traditional aeration control methods in wastewater treatment plants (WWTPs) often fall short due to their inability to adapt dynamically to varying operational conditions, leading to inefficiencies in energy usage and treatment outcomes. This study introduces a novel predictive model that leverages a Multi-Scale Convolutional Neural Network (MCNN) combined with Transformer technology to enhance the accuracy and control of aeration processes. The model's effectiveness was validated using a comprehensive dataset from a WWTP, covering a range of operational parameters influencing aeration demand. Results indicate that the MCNN-Transformer model significantly outperforms traditional methods by accurately predicting aeration needs, thereby optimizing energy consumption and reducing operational costs. The implications of this study are profound, offering a scalable solution that can be integrated into existing WWTP operations to enhance efficiency and sustainability while providing a methodological framework for future research in environmental management and engineering.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107218"},"PeriodicalIF":6.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422339","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

Evaluation of various pretreatments of surface water for ion exchange demineralization in industrial applications

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-14 DOI: 10.1016/j.jwpe.2025.107224

Sarah I. Mueller , Eduard de las Heras García , Lies Hamelink , Lisa Wyseure , David H. Moed , Ivaylo P. Hitsov , Gergana Chapanova , Thomas Diekow , Christian Kaiser , Laurence Palmowski , Thomas Wintgens

This study evaluates pretreatment strategies before ion exchange demineralization for producing high-quality demineralized water from surface water in industrial applications. It focuses on water quality improvements and compares the treatment system's resource efficiencies (water, energy, CO₂-equivalent emissions and costs). Four pretreatment methods were examined: (Scenario 0) an existing system using coagulation/flocculation and sandfiltration, (Scenario 1) the addition of a scavenger resin to the existing system to improve organics removal, (Scenario 2) employing biologically activated carbon filtration (BACF) and scavenger resin as a chemical-less alternative, and (Scenario 3) application of BACF with ultrafiltration (UF) barrier. Two of the four scenarios achieve the required water qualities (i.e., TOC ≤ 0.2 mg/L): Scenario 1 and 3. BACF and UF (Scenario 3) showed the best water quality achievements; both technologies complement each other regarding removing organic fractions. Water efficiencies between 93 % (Scenario 2) and 97 % (Scenario 0) can be achieved, where the sludge-water return is crucial, particularly for Scenario 3. CO₂-equivalent emissions, combining energy, materials and chemicals used, but also costs, are consistently increased by adding enhanced pretreatments. Specific emissions and estimated costs are slightly lower for Scenario 3 (0.7 kg_CO2-eq/m³_Prod, 1.4 €/m³_Prod) than Scenario 1 (0.8 kg_CO2-eq/m³_Prod, 1.5 €/m³_Prod).

{"title":"Evaluation of various pretreatments of surface water for ion exchange demineralization in industrial applications","authors":"Sarah I. Mueller , Eduard de las Heras García , Lies Hamelink , Lisa Wyseure , David H. Moed , Ivaylo P. Hitsov , Gergana Chapanova , Thomas Diekow , Christian Kaiser , Laurence Palmowski , Thomas Wintgens","doi":"10.1016/j.jwpe.2025.107224","DOIUrl":"10.1016/j.jwpe.2025.107224","url":null,"abstract":"<div><div>This study evaluates pretreatment strategies before ion exchange demineralization for producing high-quality demineralized water from surface water in industrial applications. It focuses on water quality improvements and compares the treatment system's resource efficiencies (water, energy, CO<sub>2</sub>-equivalent emissions and costs). Four pretreatment methods were examined: (Scenario 0) an existing system using coagulation/flocculation and sandfiltration, (Scenario 1) the addition of a scavenger resin to the existing system to improve organics removal, (Scenario 2) employing biologically activated carbon filtration (BACF) and scavenger resin as a chemical-less alternative, and (Scenario 3) application of BACF with ultrafiltration (UF) barrier. Two of the four scenarios achieve the required water qualities (i.e., TOC ≤ 0.2 mg/L): Scenario 1 and 3. BACF and UF (Scenario 3) showed the best water quality achievements; both technologies complement each other regarding removing organic fractions. Water efficiencies between 93 % (Scenario 2) and 97 % (Scenario 0) can be achieved, where the sludge-water return is crucial, particularly for Scenario 3. CO<sub>2</sub>-equivalent emissions, combining energy, materials and chemicals used, but also costs, are consistently increased by adding enhanced pretreatments. Specific emissions and estimated costs are slightly lower for Scenario 3 (0.7 kg<sub>CO2-eq</sub>/m<sup>3</sup><sub>Prod</sub>, 1.4 €/m<sup>3</sup><sub>Prod</sub>) than Scenario 1 (0.8 kg<sub>CO2-eq</sub>/m<sup>3</sup><sub>Prod</sub>, 1.5 €/m<sup>3</sup><sub>Prod</sub>).</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107224"},"PeriodicalIF":6.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced charge transferring through defects-mediated metal‑carbon nanocomposites for efficient dye degradation under visible light

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-14 DOI: 10.1016/j.jwpe.2025.107225

Muneeb Ur Rahman , Faiqa Nadeem , Muhammad Usman , Muhammad Shahzaib , Hina Ramzan , Nimra Nadeem , Zhiping Zhang , Nadeem Tahir

The photocatalytic efficiency of TbFeO₃ photocatalyst was enhanced by generating defects, e.g., oxygen-vacancies (OVs) via Zr-doping (1–5 mol%) at the Fe site and constructing its nanocomposite. With the physiochemical, and optical characterizations catalytic efficiency of samples was tested by photo-degradation of methylene blue (MB) under visible-light irradiation. The study demonstrated that 5 mol% (ZTF-5) exhibited the highest photocatalytic potential due to the formation of OVs on the surface in maintaining charge neutrality. Later, metal‑carbon CN/ZTF-5 nanocomposite was developed by coalescing ZTF-5 with g-C₃N₄ to improve its photocatalytic potential, which displayed 97.75 % photo-degradation in 90 min that is 1.13 and 1.20, 1.34, 1.40 and 1.51-fold higher than ZTF-5, CN, ZTF-3, ZTF-1, and TF respectively. The enhanced photocatalytic performance attributed to the presence of OVs which play a role in mediating e⁻h⁺ pairs separation in CN/ZTF-5 by lowering their recombination rate and charge-transfer resistance, verified by XPS, photoluminescence (PL), and electrochemical impedance spectroscopy (EIS) respectively. Additionally, with optimization of reaction parameters (pH, catalyst and H₂O₂ dose, dye concentration, and reaction time), reaction kinetics (rate constant for CN/ZTF-5 = 0.039 min⁻¹), scavenger experiment (^•O₂⁻ radicals; primary reacting species), and the recycling potential of 81.23 % was achieved by CN/ZTF-5 after 4th runs. The photo-degradation mechanism of CN/ZTF-5 was explored based on band-edge potential calculated by Mott-Schottky analysis. Eventually, reaction parameters were studied using statistical analysis of response surface methodology with central composite design. This study implies that defects-engineered catalysts can enhance degradation rate and efficiency of industrial wastewater (textile and cosmetics) remarkably.

{"title":"Enhanced charge transferring through defects-mediated metal‑carbon nanocomposites for efficient dye degradation under visible light","authors":"Muneeb Ur Rahman , Faiqa Nadeem , Muhammad Usman , Muhammad Shahzaib , Hina Ramzan , Nimra Nadeem , Zhiping Zhang , Nadeem Tahir","doi":"10.1016/j.jwpe.2025.107225","DOIUrl":"10.1016/j.jwpe.2025.107225","url":null,"abstract":"<div><div>The photocatalytic efficiency of TbFeO<sub>3</sub> photocatalyst was enhanced by generating defects, e.g., oxygen-vacancies (OVs) via Zr-doping (1–5 mol%) at the Fe site and constructing its nanocomposite. With the physiochemical, and optical characterizations catalytic efficiency of samples was tested by photo-degradation of methylene blue (MB) under visible-light irradiation. The study demonstrated that 5 mol% (ZTF-5) exhibited the highest photocatalytic potential due to the formation of OVs on the surface in maintaining charge neutrality. Later, metal‑carbon CN/ZTF-5 nanocomposite was developed by coalescing ZTF-5 with g-C<sub>3</sub>N<sub>4</sub> to improve its photocatalytic potential, which displayed 97.75 % photo-degradation in 90 min that is 1.13 and 1.20, 1.34, 1.40 and 1.51-fold higher than ZTF-5, CN, ZTF-3, ZTF-1, and TF respectively. The enhanced photocatalytic performance attributed to the presence of OVs which play a role in mediating e<sup>−</sup>h<sup>+</sup> pairs separation in CN/ZTF-5 by lowering their recombination rate and charge-transfer resistance, verified by XPS, photoluminescence (PL), and electrochemical impedance spectroscopy (EIS) respectively. Additionally, with optimization of reaction parameters (pH, catalyst and H<sub>2</sub>O<sub>2</sub> dose, dye concentration, and reaction time), reaction kinetics (rate constant for CN/ZTF-5 = 0.039 min<sup>−1</sup>), scavenger experiment (<sup>•</sup>O<sub>2</sub><sup>−</sup> radicals; primary reacting species), and the recycling potential of 81.23 % was achieved by CN/ZTF-5 after 4th runs. The photo-degradation mechanism of CN/ZTF-5 was explored based on band-edge potential calculated by Mott-Schottky analysis. Eventually, reaction parameters were studied using statistical analysis of response surface methodology with central composite design. This study implies that defects-engineered catalysts can enhance degradation rate and efficiency of industrial wastewater (textile and cosmetics) remarkably.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107225"},"PeriodicalIF":6.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402710","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