Journal of water process engineering最新文献_第7页

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

Airlift reactor-based heterogeneous catalytic ozonation using CuO@Leca for biodegradability enhancement of quercetin-rich pharmaceutical effluent

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.2025.107246

Pegah Amiri , Jamshid Behin

Herbal pharmaceutical effluent (HPE) is distinguished by its high content of natural flavonoids such as Quercetin. Heterogeneous catalytic ozonation (HCO) in an airlift reactor (600 mL) was applied to degrade Quercetin in an aqueous environment using copper oxide-loaded light-expanded clay aggregate (CuO@Leca). Prepared catalyst was characterized by BET, XRD, FTIR, EDS, and SEM analysis, while GC–MS and UV–visible spectroscopy were used to evaluate HPE characterizations. In the first part of experiments, the influence of three main variables, namely CuO loading (0–20 wt%), pH (4–10), and ozonation time (5–35 min) was optimized on Quercetin removal efficiency from synthetic HPE. The results showed a significant increase (2–5 times) in Quercetin degradation using HCO compared to ozonation alone. Meanwhile, an 86.34 % removal was achieved at pH 7.4 and high level of other variables. In the second part of the experiments, real HPE was subjected to HCO under the optimal CuO loading determined in the first part of experiments. Significant reduction was achieved in Quercetin concentration (84 %), TSS (96 %), turbidity (92 %), COD (86 %), and BOD (80 %), alongside an improvement in HPE biodegradability from 0.41 to 0.59. The liquid flow in the riser of airlift reactor promotes the dispersion and direct reactions of ozone, while the catalyst-ozone interactions in the downcomer accelerate ozone decomposition and generation of reactive species, leading to the formation of smaller and more biodegradable compounds such as flavonol, chalcone, flavone, flavanon, flavan-3-ol, oxonium, and phenol. The suggested catalytic reactor is practically interested than slurry configuration. The spent catalyst was regenerated via aerobic calcination at 450 °C for 2 h, showing ∼9 % efficiency loss after four recycling cycles.

{"title":"Airlift reactor-based heterogeneous catalytic ozonation using CuO@Leca for biodegradability enhancement of quercetin-rich pharmaceutical effluent","authors":"Pegah Amiri , Jamshid Behin","doi":"10.1016/j.jwpe.2025.107246","DOIUrl":"10.1016/j.jwpe.2025.107246","url":null,"abstract":"<div><div>Herbal pharmaceutical effluent (HPE) is distinguished by its high content of natural flavonoids such as Quercetin. Heterogeneous catalytic ozonation (HCO) in an airlift reactor (600 mL) was applied to degrade Quercetin in an aqueous environment using copper oxide-loaded light-expanded clay aggregate (CuO@Leca). Prepared catalyst was characterized by BET, XRD, FTIR, EDS, and SEM analysis, while GC–MS and UV–visible spectroscopy were used to evaluate HPE characterizations. In the first part of experiments, the influence of three main variables, namely CuO loading (0–20 wt%), pH (4–10), and ozonation time (5–35 min) was optimized on Quercetin removal efficiency from synthetic HPE. The results showed a significant increase (2–5 times) in Quercetin degradation using HCO compared to ozonation alone. Meanwhile, an 86.34 % removal was achieved at pH 7.4 and high level of other variables. In the second part of the experiments, real HPE was subjected to HCO under the optimal CuO loading determined in the first part of experiments. Significant reduction was achieved in Quercetin concentration (84 %), TSS (96 %), turbidity (92 %), COD (86 %), and BOD (80 %), alongside an improvement in HPE biodegradability from 0.41 to 0.59. The liquid flow in the riser of airlift reactor promotes the dispersion and direct reactions of ozone, while the catalyst-ozone interactions in the downcomer accelerate ozone decomposition and generation of reactive species, leading to the formation of smaller and more biodegradable compounds such as flavonol, chalcone, flavone, flavanon, flavan-3-ol, oxonium, and phenol. The suggested catalytic reactor is practically interested than slurry configuration. The spent catalyst was regenerated via aerobic calcination at 450 °C for 2 h, showing ∼9 % efficiency loss after four recycling cycles.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107246"},"PeriodicalIF":6.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402711","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

Revealing the degradation of atrazine in S-nZVI/peroxydisulfate system with density functional theory calculation

IF 6.3 2区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of water process engineering

Pub Date : 2025-02-13 DOI: 10.1016/j.jwpe.2025.107204

Zhimin Ye , Lin Zhang , Min Zhong , Songlin Wang , Chao Huang , Guangdong Li , Bingjie Li

Sulfurization is usually applied for modifying nZVI to enhance the performance and overcome the aggregation, yet the discussions about specific effects seem to be scanty, such as the generation of reaction oxygen species (ROS) and the degradation of organics. Herein, sulfidated nanoscale zero valent iron (S-nZVI) was synthesized and used for the activation of peroxydisulfate (PDS), and the investigations were conducted based on the removal performance of S-nZVI/PDS system for atrazine (ATZ), including the generation of ROS and the characteristics transformation of S-nZVI. The results showed that S would affect the electron transfer process between S-nZVI and PDS as well as the generation pathways of ROS, thus realizing the brilliant degradation of ATZ through the roles of SO₄⁻, OH, and Fe(IV). Based on this, density functional theory (DFT) calculation was employed to analyze the reactivity, and then the possible degradation pathways of ATZ were proposed through the combination of DFT and liquid chromatography-mass spectrometry, demonstrating that the reactivity of CCl bond was important for ATZ degradation. This work provided the new insight into ATZ degradation through the S-nZVI/PDS system.

{"title":"Revealing the degradation of atrazine in S-nZVI/peroxydisulfate system with density functional theory calculation","authors":"Zhimin Ye , Lin Zhang , Min Zhong , Songlin Wang , Chao Huang , Guangdong Li , Bingjie Li","doi":"10.1016/j.jwpe.2025.107204","DOIUrl":"10.1016/j.jwpe.2025.107204","url":null,"abstract":"<div><div>Sulfurization is usually applied for modifying nZVI to enhance the performance and overcome the aggregation, yet the discussions about specific effects seem to be scanty, such as the generation of reaction oxygen species (ROS) and the degradation of organics. Herein, sulfidated nanoscale zero valent iron (S-nZVI) was synthesized and used for the activation of peroxydisulfate (PDS), and the investigations were conducted based on the removal performance of S-nZVI/PDS system for atrazine (ATZ), including the generation of ROS and the characteristics transformation of S-nZVI. The results showed that S would affect the electron transfer process between S-nZVI and PDS as well as the generation pathways of ROS, thus realizing the brilliant degradation of ATZ through the roles of SO<sub>4</sub><img><sup>−</sup>, <img>OH, and Fe(IV). Based on this, density functional theory (DFT) calculation was employed to analyze the reactivity, and then the possible degradation pathways of ATZ were proposed through the combination of DFT and liquid chromatography-mass spectrometry, demonstrating that the reactivity of C<img>Cl bond was important for ATZ degradation. This work provided the new insight into ATZ degradation through the S-nZVI/PDS system.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"71 ","pages":"Article 107204"},"PeriodicalIF":6.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402703","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