Pub Date : 2025-11-28DOI: 10.1038/s41545-025-00530-x
Yong-Uk Shin, Dongwoo Kim, Sung Il Yu, Hyokwan Bae, Am Jang
{"title":"Smart control of oxychlorine species using reinforcement learning in saline electrochemical oxidation","authors":"Yong-Uk Shin, Dongwoo Kim, Sung Il Yu, Hyokwan Bae, Am Jang","doi":"10.1038/s41545-025-00530-x","DOIUrl":"https://doi.org/10.1038/s41545-025-00530-x","url":null,"abstract":"","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"175 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145611264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-23DOI: 10.1038/s41545-025-00531-w
Charles Balkenbusch, Judith Glienke, Yuhao Wu, Keenan Munno, Michael Jung, Husein Almuhtaram, Robert C. Andrews
{"title":"Microplastic removal across ten drinking water treatment facilities and distribution systems","authors":"Charles Balkenbusch, Judith Glienke, Yuhao Wu, Keenan Munno, Michael Jung, Husein Almuhtaram, Robert C. Andrews","doi":"10.1038/s41545-025-00531-w","DOIUrl":"https://doi.org/10.1038/s41545-025-00531-w","url":null,"abstract":"","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"138 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-18DOI: 10.1038/s41545-025-00524-9
Xianglan Jiao, Tao Xia, Lingzhi Zhang, Lei Shi, Zhimin Ao, Xuede Li, Jie Li
{"title":"Phosphorus adsorption in paddy water by immobilized Ce-MOFs: performance, mechanism analysis, and dynamic adsorption","authors":"Xianglan Jiao, Tao Xia, Lingzhi Zhang, Lei Shi, Zhimin Ao, Xuede Li, Jie Li","doi":"10.1038/s41545-025-00524-9","DOIUrl":"https://doi.org/10.1038/s41545-025-00524-9","url":null,"abstract":"","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"1 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145545481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-18DOI: 10.1038/s41545-025-00526-7
Milad Mohsenzadeh, Shuqi Xu, Osman Shamet, Juan F. Torres
{"title":"Scalable brine treatment using 3D-printed multichannel thermodiffusion","authors":"Milad Mohsenzadeh, Shuqi Xu, Osman Shamet, Juan F. Torres","doi":"10.1038/s41545-025-00526-7","DOIUrl":"https://doi.org/10.1038/s41545-025-00526-7","url":null,"abstract":"","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"15 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145536155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-18DOI: 10.1038/s41545-025-00528-5
Christopher Jackson, Shuqi Xu, Juan F. Torres
{"title":"Techno-economic analysis of multichannel thermodiffusion for desalination and brine concentration","authors":"Christopher Jackson, Shuqi Xu, Juan F. Torres","doi":"10.1038/s41545-025-00528-5","DOIUrl":"https://doi.org/10.1038/s41545-025-00528-5","url":null,"abstract":"","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"30 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145536327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Remote sensing monitoring of small-lake eutrophication faces challenges such as sparse data, insufficient synergy of multi-source data, and limited model generalization performance. Hence, this study developed a scenario-aware modeling framework for the trophic level index (TLI) by integrating multi-source imagery data from Sentinel-2, GF-1, HJ-2, and PlanetScope, using Dongqian Lake in Zhejiang Province, China as the case study. The cross-sensor prediction accuracy was evaluated using algorithms such as CatBoost Regression (CBR), XGBoost Regression (XGBR), TabPFN Regression (TPFNR), and Linear Regression (LR). Meanwhile, the influence of input features was quantified by SHapley Additive exPlanations (SHAP). The main results found that : (1) Overall annual mean values of total nitrogen/total phosphorus ratio (TN/TP) and TLI were 22.13 and 37.36 ± 4.99, respectively, indicating a mesotrophic and phosphorus-limited state in Dongqian Lake. (2) TLI exhibited the strongest correlation with water color and algal spectral indices, including Normalized Difference Water Index (NDWI), Normalized Green–Red Difference Index (NGRDI), and Blue–Green Ratio (BGR). (3) CBR demonstrated the strongest cross-sensor generalization capability across different imagery, with only minor variations in prediction accuracy (ΔR ≈ 0.07–0.15). Feature attribution analysis identified NDWI, NGRDI, and BGR as primary contributing features for the CBR model. (4) Integrating high-frequency multi-source remote sensing imagery with 27 field surveys achieved seamless monitoring of the TLI. The spatial distribution of TLI showed distinct seasonal variations, with higher values observed in nearshore areas and lower values in the lake center. TLI values were relatively low in spring, but surged sharply and remained elevated in summer. This study provided a reference basis for detailed remote sensing monitoring and management of eutrophication in small lakes.
{"title":"Resolving inherent constraints in eutrophication monitoring of small lakes using multi-source satellites and machine learning","authors":"Wei Si, Zhixiong Chen, Chi Yung Jim, Mou Leong Tan, Dong Liu, Yue Yao, Lifei Wei, Shangshang Xu, Fei Zhang","doi":"10.1038/s41545-025-00525-8","DOIUrl":"https://doi.org/10.1038/s41545-025-00525-8","url":null,"abstract":"Remote sensing monitoring of small-lake eutrophication faces challenges such as sparse data, insufficient synergy of multi-source data, and limited model generalization performance. Hence, this study developed a scenario-aware modeling framework for the trophic level index (TLI) by integrating multi-source imagery data from Sentinel-2, GF-1, HJ-2, and PlanetScope, using Dongqian Lake in Zhejiang Province, China as the case study. The cross-sensor prediction accuracy was evaluated using algorithms such as CatBoost Regression (CBR), XGBoost Regression (XGBR), TabPFN Regression (TPFNR), and Linear Regression (LR). Meanwhile, the influence of input features was quantified by SHapley Additive exPlanations (SHAP). The main results found that : (1) Overall annual mean values of total nitrogen/total phosphorus ratio (TN/TP) and TLI were 22.13 and 37.36 ± 4.99, respectively, indicating a mesotrophic and phosphorus-limited state in Dongqian Lake. (2) TLI exhibited the strongest correlation with water color and algal spectral indices, including Normalized Difference Water Index (NDWI), Normalized Green–Red Difference Index (NGRDI), and Blue–Green Ratio (BGR). (3) CBR demonstrated the strongest cross-sensor generalization capability across different imagery, with only minor variations in prediction accuracy (ΔR ≈ 0.07–0.15). Feature attribution analysis identified NDWI, NGRDI, and BGR as primary contributing features for the CBR model. (4) Integrating high-frequency multi-source remote sensing imagery with 27 field surveys achieved seamless monitoring of the TLI. The spatial distribution of TLI showed distinct seasonal variations, with higher values observed in nearshore areas and lower values in the lake center. TLI values were relatively low in spring, but surged sharply and remained elevated in summer. This study provided a reference basis for detailed remote sensing monitoring and management of eutrophication in small lakes.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"32 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145536154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-07DOI: 10.1038/s41545-025-00527-6
Leonardo E. Navarrete-Cevallos, Ronald Vargas, Patricio J. Espinoza-Montero
{"title":"Publisher Correction: Fundamentals and environmental applications of bismuth vanadate through photoelectrocatalysis","authors":"Leonardo E. Navarrete-Cevallos, Ronald Vargas, Patricio J. Espinoza-Montero","doi":"10.1038/s41545-025-00527-6","DOIUrl":"https://doi.org/10.1038/s41545-025-00527-6","url":null,"abstract":"","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"93 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145455437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study presents a life cycle assessment (LCA) of a scaled-up photoelectrocatalytic (PEC) oxidation system for wastewater treatment, modelled using computational fluid dynamics (CFD). The system used a BiVO 4 /TiO 2 -GO photoanode for solar-driven degradation of micropollutants. The LCA assesses energy use, resource demand, and emissions to evaluate the system’s sustainability in line with EU wastewater regulations. Compared to a full-scale ozonation plant in the Netherlands, the PEC system shows superior environmental performance during operation and end-of-life phases, despite higher construction impacts. Solar energy use and potential material reuse drive these advantages. A comparison with theoretical pilot-scale oxidation technologies from literature adds depth, though the study acknowledges limitations such as micropollutant variability and wastewater complexity. Overall, the findings highlight PEC oxidation’s promise as a sustainable and effective approach for micropollutant removal in water treatment.
{"title":"Sustainable advanced wastewater treatment via photoelectrocatalytic oxidation: insights from life cycle assessment","authors":"Gema Amaya Santos, Agha Zeeshan Ali, Paola Lettieri","doi":"10.1038/s41545-025-00522-x","DOIUrl":"https://doi.org/10.1038/s41545-025-00522-x","url":null,"abstract":"This study presents a life cycle assessment (LCA) of a scaled-up photoelectrocatalytic (PEC) oxidation system for wastewater treatment, modelled using computational fluid dynamics (CFD). The system used a BiVO <jats:sub>4</jats:sub> /TiO <jats:sub>2</jats:sub> -GO photoanode for solar-driven degradation of micropollutants. The LCA assesses energy use, resource demand, and emissions to evaluate the system’s sustainability in line with EU wastewater regulations. Compared to a full-scale ozonation plant in the Netherlands, the PEC system shows superior environmental performance during operation and end-of-life phases, despite higher construction impacts. Solar energy use and potential material reuse drive these advantages. A comparison with theoretical pilot-scale oxidation technologies from literature adds depth, though the study acknowledges limitations such as micropollutant variability and wastewater complexity. Overall, the findings highlight PEC oxidation’s promise as a sustainable and effective approach for micropollutant removal in water treatment.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"82 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145411741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1038/s41545-025-00523-w
Carley S. Truyens, David M. Berendes, Molly E. Cantrell, Alexandra L. Kossik, Kerrigan M. McCarthy, Anna S. Mehrotra, Jennifer L. Murphy, Sudhir Pillay, Suraja J. Raj, Maya S. Ramaswamy, Habib Yakubu, Rochelle H. Holm
Wastewater and environmental surveillance is a valuable tool for early warning, detection, and response to emerging public health threats, with the added ability to inform data gaps across several Sustainable Development Goals. Drawing from our experiences in Bangladesh, Ghana, Malawi, and South Africa, we call to action this often unmentioned link through critical applied research questions and engagement in peer-to-peer learning and global Communities of Practice.
{"title":"Advancing wastewater and environmental surveillance in LMICs for public health response and SDG data gaps","authors":"Carley S. Truyens, David M. Berendes, Molly E. Cantrell, Alexandra L. Kossik, Kerrigan M. McCarthy, Anna S. Mehrotra, Jennifer L. Murphy, Sudhir Pillay, Suraja J. Raj, Maya S. Ramaswamy, Habib Yakubu, Rochelle H. Holm","doi":"10.1038/s41545-025-00523-w","DOIUrl":"https://doi.org/10.1038/s41545-025-00523-w","url":null,"abstract":"Wastewater and environmental surveillance is a valuable tool for early warning, detection, and response to emerging public health threats, with the added ability to inform data gaps across several Sustainable Development Goals. Drawing from our experiences in Bangladesh, Ghana, Malawi, and South Africa, we call to action this often unmentioned link through critical applied research questions and engagement in peer-to-peer learning and global Communities of Practice.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"1 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145411773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The escalating global water crisis demands innovative solutions. This review highlights the transformative role of metal–organic frameworks (MOFs) in wastewater treatment, integrating green, scalable synthesis (e.g., mechanochemistry, continuous-flow, supercritical fluid methods) with advanced functionalization. It covers diverse pollutants, performance in real matrices, removal mechanisms, and practical deployment platforms. Key challenges and future directions are discussed, offering a roadmap toward sustainable, industrial-scale MOF applications for water purification.
{"title":"Advancing wastewater treatment with green and scalable metal–organic frameworks: from synthetic strategies to real-world deployment","authors":"Austine Ofondu Chinomso Iroegbu, Moipone Linda Teffo, Emmanuel Rotimi Sadiku, Reinout Meijboom, Shanganyane Percy Hlangothi","doi":"10.1038/s41545-025-00514-x","DOIUrl":"https://doi.org/10.1038/s41545-025-00514-x","url":null,"abstract":"<p>The escalating global water crisis demands innovative solutions. This review highlights the transformative role of metal–organic frameworks (MOFs) in wastewater treatment, integrating green, scalable synthesis (e.g., mechanochemistry, continuous-flow, supercritical fluid methods) with advanced functionalization. It covers diverse pollutants, performance in real matrices, removal mechanisms, and practical deployment platforms. Key challenges and future directions are discussed, offering a roadmap toward sustainable, industrial-scale MOF applications for water purification.</p>","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"27 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144924276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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