Pub Date : 2026-02-08DOI: 10.1007/s13201-025-02735-4
Parisa Taherpoor, Farzaneh Farzad
{"title":"Performance improvement of graphene oxide modified with L-methionine amino acid for adsorption of emerging pollutants in water","authors":"Parisa Taherpoor, Farzaneh Farzad","doi":"10.1007/s13201-025-02735-4","DOIUrl":"https://doi.org/10.1007/s13201-025-02735-4","url":null,"abstract":"","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"211 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2026-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Near-future prediction of pipe failures in water supply networks: a key determinant for water pipe renewal policies through a machine learning approach","authors":"Edwar Forero-Ortiz, Marti Sanchez-Juny, Eduardo Martinez-Gomariz, Jaume Cardus Gonzalez, Fernando Cucchietti, Ferran Baque Viader","doi":"10.1007/s13201-025-02738-1","DOIUrl":"https://doi.org/10.1007/s13201-025-02738-1","url":null,"abstract":"","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"90 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2026-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1007/s13201-025-02740-7
Ahmed Shalby, Sobhy R. Emara, Mohammed R. Elmenshawy, Shymaa A. K. Fayad
Water scarcity poses major constraints to sustainable rural development, particularly in arid regions. In Egypt, limited freshwater resources are increasingly prioritized for domestic use, compelling proposed large-scale land reclamation projects to rely on brackish groundwater. However, marginal water quality restricts cultivation to salt-tolerant crops, undermining the long-term profitability of ongoing agribusiness activities. This study is the first to evaluate the techno-economic viability of integrating decentralized desalination systems into the Moghra development area. A systematic hydrochemical assessment of 73 wells, using the Irrigation Water Quality Index (IWQI), classified 49 as “Severe Restriction” and 24 as “High Restriction”, confirming widespread concerns about groundwater suitability. A two-stage reverse osmosis (RO) desalination system powered by photovoltaic (PV) energy was designed to achieve a 70% recovery rate. An optimization model identified blending ratios that maximize post-treatment water quality while minimizing the desalinated water volume. Results showed substantial improvements: the average sodium adsorption ratio (SAR) decreased by 66%, and IWQI increased from 34 to 77. Consequently, 68 wells were reclassified as “Low Restriction” and 5 as “Moderate Restriction”, enabling a shift from salt-tolerant olives to higher-value crops (e.g., wheat–maize rotation). A cost–benefit analysis assessed trade-offs between desalination costs and resulting economic returns. Under the abstraction limit, the proposed RO–PV blending strategy yielded a 35% higher net present value (NPV) and a 15.7% internal rate of return (IRR), demonstrating both technical and financial viability. These findings provide actionable insights for policymakers, stakeholders, and investors to enhance water productivity and agricultural sustainability in arid regions.
{"title":"Techno-economic assessment of brackish groundwater desalination for irrigation in arid regions: a case study from the Moghra aquifer, Egypt","authors":"Ahmed Shalby, Sobhy R. Emara, Mohammed R. Elmenshawy, Shymaa A. K. Fayad","doi":"10.1007/s13201-025-02740-7","DOIUrl":"https://doi.org/10.1007/s13201-025-02740-7","url":null,"abstract":"Water scarcity poses major constraints to sustainable rural development, particularly in arid regions. In Egypt, limited freshwater resources are increasingly prioritized for domestic use, compelling proposed large-scale land reclamation projects to rely on brackish groundwater. However, marginal water quality restricts cultivation to salt-tolerant crops, undermining the long-term profitability of ongoing agribusiness activities. This study is the first to evaluate the techno-economic viability of integrating decentralized desalination systems into the Moghra development area. A systematic hydrochemical assessment of 73 wells, using the Irrigation Water Quality Index (IWQI), classified 49 as “Severe Restriction” and 24 as “High Restriction”, confirming widespread concerns about groundwater suitability. A two-stage reverse osmosis (RO) desalination system powered by photovoltaic (PV) energy was designed to achieve a 70% recovery rate. An optimization model identified blending ratios that maximize post-treatment water quality while minimizing the desalinated water volume. Results showed substantial improvements: the average sodium adsorption ratio (SAR) decreased by 66%, and IWQI increased from 34 to 77. Consequently, 68 wells were reclassified as “Low Restriction” and 5 as “Moderate Restriction”, enabling a shift from salt-tolerant olives to higher-value crops (e.g., wheat–maize rotation). A cost–benefit analysis assessed trade-offs between desalination costs and resulting economic returns. Under the abstraction limit, the proposed RO–PV blending strategy yielded a 35% higher net present value (NPV) and a 15.7% internal rate of return (IRR), demonstrating both technical and financial viability. These findings provide actionable insights for policymakers, stakeholders, and investors to enhance water productivity and agricultural sustainability in arid regions.","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"23 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1007/s13201-026-02761-w
Abdulaziz S. Alquwaizany, Ghulam Hussain, Abdullah I. Al-Zarah, Ayman Alrehaili
{"title":"Effect of wastewater irrigation on mineral uptake of Typha latifolia and Phragmites australis in arid environment","authors":"Abdulaziz S. Alquwaizany, Ghulam Hussain, Abdullah I. Al-Zarah, Ayman Alrehaili","doi":"10.1007/s13201-026-02761-w","DOIUrl":"https://doi.org/10.1007/s13201-026-02761-w","url":null,"abstract":"","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"42 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1007/s13201-026-02772-7
Jianyong Yu, Kai Jin, Amr Tolba, M. Mehdi Shafieezadeh, Jong Hyuk Park, Abeer Ali Alnuaim
{"title":"Multi-criteria assessment of wireless communication options for subaquatic pollution detection","authors":"Jianyong Yu, Kai Jin, Amr Tolba, M. Mehdi Shafieezadeh, Jong Hyuk Park, Abeer Ali Alnuaim","doi":"10.1007/s13201-026-02772-7","DOIUrl":"https://doi.org/10.1007/s13201-026-02772-7","url":null,"abstract":"","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"92 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1007/s13201-025-02732-7
Mohammad Baqeri, Asma Khoobi
{"title":"Multivariate optimization strategy for designing a green nanostructured electrocatalyst toward voltammetric oxidation of a non-steroidal anti-inflammatory drug: environmental and biological studies","authors":"Mohammad Baqeri, Asma Khoobi","doi":"10.1007/s13201-025-02732-7","DOIUrl":"https://doi.org/10.1007/s13201-025-02732-7","url":null,"abstract":"","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"23 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146101772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Nag River, flowing through the highly urbanized core of Nagpur, Maharashtra, serves as the primary drainage system for the city and is critically polluted due to rapid urban development and uncontrolled industrial discharges. While conventional physicochemical assessments exist, they fail to provide the quantitative, spatially resolved source apportionment necessary for targeted remediation. This study integrates WQI with PCA and CA to provide a structured, data-driven assessment of pollution sources along the Nag River, specifically Principal Component Analysis (PCA) and Cluster Analysis (CA) within a spatial framework to provide the first systematic differentiation of pollution sources (e.g. municipal sewage vs. specialized industrial effluent) and link them directly to specific land-use zones along the river’s 17 km urban corridor. The aim was to holistically assess the surface water quality and quantitatively identify, map, and attribute pollution sources along this critical stretch. Nine (9) surface water samples (S1-S9) were systematically collected during the pre-monsoon season (February 2023), covering segments influenced by diverse residential, commercial, and industrial land use. Twenty physicochemical and biological parameters were analyzed, and the reliability of the hydrochemical data was confirmed using the Ionic Balance Error (IBE) validation. WQI values ranged severely from 47.05 (Good) at the upstream baseline (S1) to a maximum of 6440.38 (Unfit for all practical uses) at Yashwant Stadium (S5), confirming chronic heavy pollution. This degradation is primarily attributed to untreated municipal sewage, as indicated by extreme BOD levels up to 216.28 mg/l and non-compliant specialized industrial discharges. PCA identified three primary Varifactors (VFs) explaining 87.935% of the total variance. Varifactor 1 (44.088%) confirmed the overwhelming dominance of untreated municipal sewage (organic load, total dissolved solids, and microbiological parameters). Varifactor 2 (16.666%) was strongly associated with specialized heavy metals (Nickel and Cadmium), indicating a distinct point source industrial effluent. CA successfully categorized sampling sites into four spatial pollution clusters (C1-C4), enabling the identification of high-priority pollution hotspots that correlate directly with land use. The present study integrates the WQI-PCA-CA approach, combined with land use assessment, to provide critical insights to support evidence-based river restoration and sustainable watershed management planning.
{"title":"An integrated indexical and multivariate assessment of surface water quality within the Nag river, Maharashtra, India","authors":"Damini Bramhankar, Shubhajit Halder, Doyel Bhattacharya, Ashish Kumar Jha","doi":"10.1007/s13201-025-02737-2","DOIUrl":"https://doi.org/10.1007/s13201-025-02737-2","url":null,"abstract":"The Nag River, flowing through the highly urbanized core of Nagpur, Maharashtra, serves as the primary drainage system for the city and is critically polluted due to rapid urban development and uncontrolled industrial discharges. While conventional physicochemical assessments exist, they fail to provide the quantitative, spatially resolved source apportionment necessary for targeted remediation. This study integrates WQI with PCA and CA to provide a structured, data-driven assessment of pollution sources along the Nag River, specifically Principal Component Analysis (PCA) and Cluster Analysis (CA) within a spatial framework to provide the first systematic differentiation of pollution sources (e.g. municipal sewage vs. specialized industrial effluent) and link them directly to specific land-use zones along the river’s 17 km urban corridor. The aim was to holistically assess the surface water quality and quantitatively identify, map, and attribute pollution sources along this critical stretch. Nine (9) surface water samples (S1-S9) were systematically collected during the pre-monsoon season (February 2023), covering segments influenced by diverse residential, commercial, and industrial land use. Twenty physicochemical and biological parameters were analyzed, and the reliability of the hydrochemical data was confirmed using the Ionic Balance Error (IBE) validation. WQI values ranged severely from 47.05 (Good) at the upstream baseline (S1) to a maximum of 6440.38 (Unfit for all practical uses) at Yashwant Stadium (S5), confirming chronic heavy pollution. This degradation is primarily attributed to untreated municipal sewage, as indicated by extreme BOD levels up to 216.28 mg/l and non-compliant specialized industrial discharges. PCA identified three primary Varifactors (VFs) explaining 87.935% of the total variance. Varifactor 1 (44.088%) confirmed the overwhelming dominance of untreated municipal sewage (organic load, total dissolved solids, and microbiological parameters). Varifactor 2 (16.666%) was strongly associated with specialized heavy metals (Nickel and Cadmium), indicating a distinct point source industrial effluent. CA successfully categorized sampling sites into four spatial pollution clusters (C1-C4), enabling the identification of high-priority pollution hotspots that correlate directly with land use. The present study integrates the WQI-PCA-CA approach, combined with land use assessment, to provide critical insights to support evidence-based river restoration and sustainable watershed management planning.","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"34 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146101771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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