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Optimization of AAO process for reduced N2O emissions and enhanced nitrogen removal in municipal wastewater treatment: Exploring carbon supplementation and DO control strategies Water Res. (IF 11.4) Pub Date : 2025-02-04 Zeming An, Qiong Zhang, Xinjie Gao, Baishuo Shao, Yongzhen Peng
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The association between estrogenic activity evolution and the formation of different products during the photochemical transformation of parabens in water Water Res. (IF 11.4) Pub Date : 2025-02-01 Xiaolin Niu, Guanhui Chen, Na Luo, Mei Wang, Mei Ma, Xinping Hui, Yanpeng Gao, Guiying Li, Taicheng An
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The transition from macrophyte-dominated to algae-dominated lake systems enhances arsenic release from sediments Water Res. (IF 11.4) Pub Date : 2025-02-01 Xiangyu He, Wenming Yan, Xiang Chen, Yan Wang, Minjuan Li, Qi Li, Junliang Jin, Zhongbo Yu, Tingfeng Wu
Declining macrophytes in eutrophic lakes are altering material cycling in sediments. However, the transformation of arsenic (As) in response to these changes remains poorly understood. In this study, high-resolution dialysis was used to measure dissolved As in sediments from macrophyte-dominated (MD) and algae-dominated (AD) zones across different seasons. The relationship between sedimentary As fractionation
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Microbial metabolic enzymes, pathways and microbial hosts for co-metabolic degradation of organic micropollutants in wastewater Water Res. (IF 11.4) Pub Date : 2025-01-31 Boyu Lyu, Bharat Manna, Xueyang Zhou, Ivanhoe K.H. Leung, Naresh Singhal
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Enhancing the accuracy and reliability of non-online metered demand allocation in water distribution systems through dynamic spatiotemporal population distribution Water Res. (IF 11.4) Pub Date : 2025-02-03 Qingzhou Zhang, Hao Jiang, Jun Liu, Weiping Zhang
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How do varying nitrogen fertilization rates affect crop yields and riverine N2O emissions? A hybrid modeling study Water Res. (IF 11.4) Pub Date : 2025-02-03 Diego Panique-Casso, Nelson F. Pacheco-Bueno, Marie Anne Eurie Forio, Peter Goethals, Long Ho
Headwater streams in agricultural areas constitute significant sources of nitrous oxide (N2O) due to nutrient enrichment; however, their emissions are often overlooked in current environmental impact assessments. This scarcity highlights the importance of developing advanced decision tools to evaluate these contributions and create effective mitigation strategies. Our study establishes the first integrated
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Light-enhanced Ion Transport and Fouling Resistance Properties of Metal/Semiconductor Heterojunction Nanochannel Membranes for Osmotic Energy Recovery in Real-world Conditions Water Res. (IF 11.4) Pub Date : 2025-02-03 Haochen Lu, Jin Wang, Derong Zhang, Tongxin Liao, Shangzhen Li, Lei Lei, Zhiyan Liu, Bingjie Du, Xudong Wang, Lei Wang
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Deciphering key traits and dissemination of antibiotic resistance genes and degradation genes in pharmaceutical wastewater receiving environments. Water Res. (IF 11.4) Pub Date : 2025-02-02 Lu-Kai Qiao, Liang-Ying He, Fang-Zhou Gao, Zheng Huang, Hong Bai, Yi-Chun Wang, Yi-Jing Shi, You-Sheng Liu, Jian-Liang Zhao, Guang-Guo Ying
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Human-induced N-P imbalances will aggravate GHG emissions from lakes and reservoirs under persisting eutrophication Water Res. (IF 11.4) Pub Date : 2025-02-02 Wei Yu, Fali Liu, Xianglan Jiao, Pingping Fan, Haiquan Yang, Yongmei Zhang, Jie Li, Jingan Chen, Xuede Li
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Hydrochar-nanocomposite membrane combined hydrothermal pretreatment for nutrient upcycling from anaerobic digestate Water Res. (IF 11.4) Pub Date : 2025-02-02 Runhao Zhang, Chujie Qi, Jiaxin Bai, Li Gao, Stephen Gray, Chenhao Ma, Qiao Zhou, Bo Bian
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Accounting for model parameter uncertainty provides more robust projections of dissolved organic carbon dynamics to aid drinking water management Water Res. (IF 11.4) Pub Date : 2025-02-01 Ricardo Paíz, Donald C. Pierson, Klara Lindqvist, Pamela S. Naden, Elvira de Eyto, Mary Dillane, Valerie McCarthy, Suzanne Linnane, Eleanor Jennings
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Adsorptive removal of phosphate and nitrate by layered double hydroxides through the memory effect and in situ synthesis Appl. Water Sci. (IF 5.7) Pub Date : 2025-02-01 Sarah Mariska, Zhang Jin-Wei, Hoang Huu Chien, Duong Minh Ngoc, Nguyen Duy Hai, Huan-Ping Chao
This research examines the efficacy of layered double hydroxides (LDHs) in removing phosphate and nitrate from wastewater, enhanced by the memory effect and in situsynthesis techniques. LDHs were synthesized hydrothermally, initially creating carbonate-based CO₃–LDHs, which were then converted to chloride-based Cl–LDHs through anion exchange. These LDHs underwent calcination at 300 °C, 400 °C, and
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Endocrine disruptor (17 β-estradiol) removal by poly pyrrole-based molecularly imprinted polymer: kinetic, isotherms and thermodynamic studies Appl. Water Sci. (IF 5.7) Pub Date : 2025-02-01 Samaneh Mohebbi, Aram Dokht Khatibi, Davoud Balarak, Maryam Khashij, Edris Bazrafshan, Mohammad Mehralian
This study focuses on the synthesis and characterization of the molecularly imprinted polymer (PPy-MIP) to remove 17β-Estradiol (E2) from aqueous solutions. The MIP was synthesized using a non-covalent procedure, incorporating the target compound, E2. To synthesis PPy-MIP, a mixture of 300 μl pyrrole and 50 ml distilled water was stirred for 30 min. After adding 3 g ferric chloride as an oxidant, the
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Fluoride-Induced Stress Shapes Partial Denitrification Granules to Sustain Microbial Metabolism Water Res. (IF 11.4) Pub Date : 2025-02-01 Shenbin Cao, Jinxin Fang, Konrad Koch, Xiaoyan Fan, Hussein E. Al-Hazmi, Rui Du, George F Wells
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Evaluating the impact of underwater skimming on slow sand filter performance and operation Water Res. (IF 11.4) Pub Date : 2025-01-31 Tolulope Elemo, Michael Chipps, Nigel Graham, Andrew Turner, Sophie Bretagne, Bruce Jefferson, Francis Hassard
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Patterns and controls of rare earth element (REE) dynamics across a boreal stream network Water Res. (IF 11.4) Pub Date : 2025-01-31 Martin Škerlep, Hjalmar Laudon, Fredrik Lidman, Emma Engström, Ilia Rodushkin, Ryan A. Sponseller
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Recovery of sulfur, generation of electricity and hydrogen peroxide from sulfion-rich wastewater using a novel self-driving photocatalytic fuel cell Water Res. (IF 11.4) Pub Date : 2025-02-01 Yong Chen, Yong Liu, Xiaobo Gong, Jianlong Wang
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Insight into the characterization of dissolved organic matter in shallow lakes with different trophic states and their net photo-generation capacity of reactive oxygen species Water Res. (IF 11.4) Pub Date : 2025-01-31 Xiaolu Li, Zhen Hu, Minli Guo, Guanglong Liu, Jiong Gao, Wei Xing
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Recent advances and challenges in mechanistic modelling of photosynthetic processes for wastewater treatment Water Res. (IF 11.4) Pub Date : 2025-01-31 S. Rossi, G Capson-Tojo, A. Sànchez-Zurano, D. Carecci, D.J. Batstone, G. Acìén-Fernandez, E. Ficara
Phototrophy-based wastewater treatment has the potential to reduce wastewater bioremediation costs, improving environmental impacts and allowing for enhanced resource recovery. Microbial interactions occurring in phototrophic-chemotrophic consortia treating wastewater are particularly complex, and with varying impact on each clade by different chemical, biological and physical, including light—related
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Subsewershed Analyses of the Impacts of Inflow and Infiltration on Viral Pathogens and Antibiotic Resistance Markers Across a Rural Sewer System Water Res. (IF 11.4) Pub Date : 2025-01-30 Amanda Darling, Benjamin Davis, Thomas Byrnex, Madeline Deck, Gabriel Maldonado Rivera, Sarah Price, Amber Amaral-Torres, Clayton Markham, Raul Gonzalez, Peter Vikesland, Leigh-Anne Krometis, Amy Pruden, Alasdair Cohen
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Fluorine recovery from low-concentration fluorine wastewater by flow-electrode capacitive deionization and fluid bed crystallization (FCDI-FBC): Preconcentration and high-quality fluorite pellets formation Water Res. (IF 11.4) Pub Date : 2025-01-31 Jing Yang, Hui Gong, Shuqian Chai, Danyang Zhu, Kejin Chen, Qinpei Liu, Xiaoguang Liu, Xiaohu Dai
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Interaction of climate and vegetation on the spatial distribution of rainfall-induced groundwater recharge in the Central Gangetic Plain J. Hydrol. (IF 5.9) Pub Date : 2025-01-31 Anuradha Karunakalage, Ravi Sharma, Mohammad Taqi Daqiq, Suresh Kannaujiya
Groundwater Recharge (GR) is pivotal for sustainability, ensuring the renewability of groundwater. Artificial GR is a key strategy to counter water level decline, albeit constrained by cost and limited effective area. Natural GR controlling factors play a well-defined role and are more readily identifiable in arid and semi-arid regions, where fewer influencing factors are present. In contrast, in humid
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Exploring the influence of training sampling strategies on time-series deep learning model in hydrology J. Hydrol. (IF 5.9) Pub Date : 2025-01-31 Sunghyun Yoon, Kuk-Hyun Ahn
Numerous deep-learning models have been introduced to achieve reliable predictions in hydrology. In particular, recent works have shown that leveraging abundant training samples significantly improves the generalization performance due to the increased opportunity to learn fundamental processes from the samples. However, these studies often overlook the diverse levels of importance uncertainty in sample
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Microscopic mechanism of organic carbon sequestration and redox properties influenced by iron (Oxyhydr)oxides Water Res. (IF 11.4) Pub Date : 2025-01-30 Chuanjin Lin, Bin Dong, Zuxin Xu
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Export fluxes of dissolved, colloidal and particulate organic carbon, major and trace elements from the Ob River and its tributaries across seasons Water Res. (IF 11.4) Pub Date : 2025-01-30 Ivan V. Krickov, Sergey N. Vorobyev, Larisa G. Kolesnichenko, Yuri Kolesnichenko, Dmitri Zinchenko, Liudmila S. Shirokova, Oleg S. Pokrovsky
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Multi-objective optimal allocation of agricultural water and land resources in the Heihe River Basin: Coupling of climate and land use change J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Zepeng Zhang, Qingyu Guan, Bo Zhao, Xiong Xiao, Jun Zhang, Xinyue Yang, Haiping Luo
As important factors affecting agricultural activities, climate change and land use change are bound to affect agricultural production. Therefore, it is necessary to predict possible changes in these factors in the future and to ensure the safety of agricultural production through scientific agricultural planning. This study uses the CMIP6 and FLUS models to forecast climate change and land use change
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Impact on nonlinear runoff of LID facilities and parameter response in the TVGM model J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Pengjun Li, Luwen Zhuang, Kairong Lin, Dunxian She, Qiang Wang, Wei Luo, Jianliang He, Jun Xia
Human activities like urbanization have profoundly altered the underlying surfaces, leading to crucial water security issues, including urban flooding and pollution. Low Impact Development (LID) has been acknowledged as an eco-friendly and promising approach to urban stormwater management. Understanding the nonlinear mechanisms of LID facilities (LIDs) under different rainfall-runoff processes is essential
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Large-scale flood mapping using Sentinel-1 and Sentinel-2 imagery: Spatio-temporal analysis of the 23·7 Haihe basin-wide extreme flood J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Ling Lan, Xiekang Wang
The monitoring of large-scale floods has become particularly critical under the dual influence of climate change and human activities. Synthetic Aperture Radar (SAR) imagery with its independence from cloud cover provides high-resolution data for this purpose. However, there is still a lack of high spatio-temporal resolution analysis of the large-scale flood evolution. Here, utilizing Sentinel-1A SAR
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VMDI-LSTM-ED: A novel enhanced decomposition ensemble model incorporating data integration for accurate non-stationary daily streamflow forecasting J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Jiadong Liu, Teng Xu, Chunhui Lu
Accurate daily streamflow forecasting is crucial for effective flood control and water management. However, the non-stationary nonlinearity in actual streamflow poses a challenge to accurate forecasting. While decomposition ensemble models can address non-stationary nonlinear streamflow, they still suffer from low forecast accuracy when dealing with highly non-stationary streamflow. Recent studies
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Organic contamination pressure shapes spatiotemporal variability of shallow groundwater bacterial communities and temporal patterns when facing new environmental disturbances J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Fei Qiao, Jinguo Wang, Zhou Chen, Shiyu Zheng, Albert Kwame Kwaw, Yongsheng Zhao, Jintao Huang
Understanding the spatiotemporal patterns of subsurface microbial community structure and function is critical for assessing the overall quality and maintenance of groundwater. However, high spatiotemporal variability of microbial community characteristics in groundwater systems under organic contamination pressure (OCP), and the differences in the temporal patterns of response in the face of new environmental
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Water body seasonality reveals the dominant role of human activity across the Yangtze River Basin in China J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Yinuo Zhu, Aizhong Ye, Yuhang Zhang
Water bodies play a vital part of the ecosystem services and human society. In recent decades, global water bodies have undergone drastic changes, including those in the Yangtze River Basin (YRB), the densest freshwater lake group in East Asia. However, there is still a lack of comprehensive description of the pattern of the dynamic changes of these valuable water resources in the YRB. Here, we combined
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Urban flood management from the lens of social media data using machine learning algorithms J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Muhammad Waseem Boota, Shan-e-hyder Soomro, Jikun Xu, Muhammad Irshad Ahmad, Haoming Xia, Yaochen Qin, Muhammad Bilal Idrees, Naseem Ahmad, Chaode Yan, Ayesha Yousaf, Xiaoju Ning
Urban flooding (UFL) occurs frequently due to climatic variations and anthropogenic activities. Real-time information on the physical and emotional damage caused by UFL is critical for catastrophic emergency management, but methods to rapidly acquire such information are lacking. Social media promptly disseminates emergency information and has become a valuable source for real-time data with low acquisition
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Semi-variograms provide superior spatial and temporal insights into artificial rainfall compared to Christiansen uniformity J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Jan-František Kubát, Martin Neumann, Petr Kavka
Rainfall simulators are crucial for hydrological and geomorphological research, allowing controlled studies of rainfall dynamics. However, standardization issues pose challenges for cross-study comparisons. This study introduces semi-variograms as an advanced method to assess the spatial and temporal dynamics of rainfall simulators. Using a large mobile rainfall simulator, we conducted experiments
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Assessing groundwater artificial recharge suitability in the Mi River basin using GIS, RS, and FAHP: a comprehensive analysis with seasonal variations Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-29 Qianyu Song, Yuyu Liu, Zhongpeng Wang, Zhenghe Xu
The escalating depletion and irrational exploitation of global groundwater resources have led to severe ecological and environmental repercussions and exacerbated water scarcity. Therefore, effective, sustainable management remains urgent to ensure the security and balance of water resources. This study utilized an integrated approach that combines Geographic information systems (GIS), remote sensing
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Evaluation of irrigation management in different stages of growth on the yield and water productivity in cowpea plant in field and model conditions Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-29 Faranak Baradaran-Hezaveh, Hossein Babazadeh, Ebrahim Amiri, Hossein Ebrahimi
The research was conducted in order to evaluate the management of irrigation in different stages of growth on the yield of the cowpea plant using the DSSAT model. The experiment was conducted in the form of a randomized complete block design with three replications in the north of Iran during 2017 and 2018. The main treatments included irrigation with the management of 40, 60, 80, 100 and 120% of the
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Dicobalt orthosilicate-graphitic carbon nitride nanocomposites as promising visible-light nanocatalysts for removal of water-soluble organic dyes Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-29 Masoud Hosseini, Mojgan Ghanbari, Makarim A. Mahdi, Mohammed H. Almaamori, Zainab Abbas Abd Alhassan, Masoud Salavati-Niasari
This paper reports the preparation of cobalt silicate (Co2SiO4, CSO) first by a cost-effective and simple sonochemical route, followed by the fabrication of Co2SiO4/g-C3N4 (CSO/CN) nanocomposites with different mass ratios by ultrasonic-assisted co-precipitation. We have investigated the photocatalytic performance of Co2SiO4, g-C3N4, and different Co2SiO4/g-C3N4 nanocomposites for the degradation of
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Current status, potential assessment, and future directions of biological treatments of unconventional oil and gas wastewater Water Res. (IF 11.4) Pub Date : 2025-01-29 Chaoyang Li, Alberto Tiraferri, Peng Tang, Jun Ma, Baicang Liu
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Ceramic membrane fouling caused by recycling biological activated carbon filter backwash water: Effective backwash with ozone micro-nano bubbles Water Res. (IF 11.4) Pub Date : 2025-01-29 Wei Liu, Tao Lin, Xiaoshu Yan
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Framework for short-term hydropower cascade–station–unit integrated multi-objective scheduling: Considering unit safety and economic efficiency J. Hydrol. (IF 5.9) Pub Date : 2025-01-29 Jingwei Huang, Hui Qin, Xu Yang, Keyan Shen, Huaming Yao, Xinyu Chang, Gaoge Li, Yuan Gao
Short-term hydropower scheduling primarily focuses on maximizing economic benefits, and the hydroelectric generating unit, as the primary component responsible for power generation, has become increasingly important given the growth in installed capacity. Consequently, current research has focused on hydro-unit commitment, particularly in terms of its safety status. This study addressed the challenges
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Enhanced Nitrogen Removal from Low C/N Municipal Wastewater in a Step-Feed Integrated Fixed-Film Activated Sludge System: Synergizing Anammox and Partial Denitrification with Sludge Fermentation Liquid Supplementation Water Res. (IF 11.4) Pub Date : 2025-01-28 Yiyuan Xing, Wenjie Li, Xiaojian Liao, Lu Wang, Bo Wang, Yongzhen Peng
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The efficacies of degrading antibiotic resistance genes (ARGs) by applying UV light emitting diodes (UV-LEDs) based advanced oxidation processes (AOPs) Water Res. (IF 11.4) Pub Date : 2025-01-27 Shayok Ghosh, Guanghan Zhang, Yiwei Chen, Jiangyong Hu
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Water temperature exhibits an overwhelming effects on the spatial allocation of sediment phosphorus fractions in the permanent backwater area of the Three Gorges Reservoir, China Water Res. (IF 11.4) Pub Date : 2025-01-27 Daoxi Zhang, Zhiyong Zhang, Jan-Peter Muller, Liming Zhu, Sanfeng Zhang, Ji Wan, Fang Shi, Xi Zou, Yulong Shi
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Airborne geophysical analysis to decipher salinization for coastal Louisiana Water Res. (IF 11.4) Pub Date : 2025-01-28 Michael Attia, Frank T.-C. Tsai, Shuo Yang, Burke Minsley, Wade H. Kress
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Dynamic electrode reconfiguration promotes in situ electrochemical peracetic acid synthesis for selective water decontamination Water Res. (IF 11.4) Pub Date : 2025-01-28 Hanlin Yan, Xiaoguang Liu, Yang Zong, Zhendong Lei, Qunbiao He, Zhenyu Zhao, Zhengwei Zhou, Guojie Ye, Chengsi Hou, Deli Wu
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Chlorination enhances the phthalates release and increases the cytotoxicity and bacterial functions related to human disease of drinking water in plastic pipes Water Res. (IF 11.4) Pub Date : 2025-01-28 Haibo Wang, Min Wang, Yukang Li, Xinyuan Yang, Xueci Xing, Baoyou Shi
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Identification of wastewater-specific peak on EEM and their application for detecting the effluent in the discharged area Water Res. (IF 11.4) Pub Date : 2025-01-28 Kazuhiro Komatsu, Takashi Onodera, Kenji Tsuchiya, Ayato Kohzu, Kazuaki Syutsubo
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Causality-Guided Deep learning for streamflow predicting in a mountainous region J. Hydrol. (IF 5.9) Pub Date : 2025-01-28 Xuan Tang, Guanghua Qin, Xuemei Wu, Yuting Zhao, Hongxia Li
Accurate streamflow predictions in mountainous regions are crucial for water resource management and flood mitigation. Deep learning (DL) models, which have been widely used for streamflow predicting recently, can simulate the nonlinear hydrological relationships but may not capture the underlying laws of physics. This study proposed a Causality-Guided Deep Learning (CGDL) model to enhance the streamflow
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Novel palm peat lignocellulosic adsorbent derived from agricultural residues for efficient methylene blue dye removal from textile wastewater Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-27 Mohamed Mohamed Gaber, Hassan Shokry, Ahmed H. Hassanin, Said Awad, Mahmoud Samy, Marwa Elkady
Palm Peat (PP), the world’s first rich lignocellulosic medium derived from date palm agricultural residues, has not been previously explored for environmental purification. This study evaluates PP's performance in adsorbing methylene blue (MB) dye. PP is characterized by a spongy, porous structure with a surface area of 16 m2/g. It possesses a significant carbon and oxygen composition and features
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Hydrogeochemical characterization of groundwater using water quality index and multivariate statistical analysis in Binji town and environs, Sokoto basin, Northwestern Nigeria Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-27 Ibrahim Mohammed Abdullahi, Lawali Abubakar, Garba Saidu, Hassan Yusuf
The hydrogeochemistry of groundwater from Binji community and surroundings was assessed. The main aim of the study was to characterize the groundwater in the study area through the application of indexing and statistical methods. Measured PH revealed 12 samples to be acidic and 15 samples to be alkaline with majority of the samples from dug wells having PH that indicates alkalinity. The concentration
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Removing heavy metals and improving the dewaterability of sewage sludge with the bioleaching process by Thiobacillus Ferrooxidans bacteria Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-27 Reza Shokoohi, Roya Najafi-Vosough, Amir Shabanloo, Zahra Torkshavand, Mohammad Molla Mahmoudi, Mohammad attar abasi
Bioleaching technology is being developed as a cost-beneficial and environmentally friendly strategy for the removal of metal ions from sewage sludge. Therefore, this study aims to evaluate the feasibility of bioleaching process for the removal of heavy metals (Pb, Al, Zn, and Cu) from sewage sludge using indigenous iron-oxidizing microorganisms. For this purpose, 10 mL of a sludge-enriched inoculum
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Developing a hierarchical analytical process to determine the best irrigation system for date palm trees in the NENA region: the case of Iran Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-27 Mahkameh S. Naeini, Bijan Nazari, Abdolmajid Liaghat
The NENA region faces serious challenges in achieving sustainable development due to water scarcity problems, especially in the agricultural sector. Identifying the most effective irrigation method for agricultural fields can have a positive impact on water consumption and management in this region. The purpose of this study is to develop an analytical hierarchy process for determining the best irrigation
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Evaluating the efficiency of environmentally friendly magnetic photocatalyst for the treatment of industrial effluents containing dye pollutants Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-27 Sedigheh Abbasi
In this research, nanocomposites based on two-dimensional nanostructures such as graphene oxide were used as photocatalysts to remove methyl orange. One of the most important advantages of this type of photocatalyst is its high efficiency in the decomposition of colored organic pollutants, as well as its ease of separation at the end of the process. For this purpose, titania semiconductor is synthesized
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Bio-synthesised nanoparticles employment for eliminating metals from wastewater via implementation of a three level Box-Behnken technique Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-27 P. Jyolsna, V. Gowthami, A. Hajeera Aseen
The objective of the present study is to optimise the removal of metals such as aluminium, zinc, and copper from industrial wastewater using green-synthesised nanoadsorbents. To achieve this, the Box–Behnken experimental design and response surface methodology will be employed. We used inductively coupled plasma mass spectrometry to analyse the metals present in the wastewater. A three-factor, three-stage
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Predicting the urban water demand by equipping intelligent-based methods with discrete wavelet transform function Appl. Water Sci. (IF 5.7) Pub Date : 2025-01-27 Mohammad Reza Alikhani, Ramtin Moeini
To satisfy the consumer demand, urban infrastructures are generally designed. The water distribution network (WDN) is one of the most important urban infrastructures in which optimal design and operation of it is essential during the operation period. For this purpose, in this research, artificial intelligence and data mining methods, including genetic programming (GP), gene expression programming
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A Machine Learning Approach to Estimate Domestic Use of Public and Private Water Sources in the United States. Water Res. (IF 11.4) Pub Date : 2025-01-26 Andrew Murray, Alexander Hall, Diego Riveros-Iregui
In the United States, people obtain water for household use from one of two sources. Public water systems, which are subject to rules and regulations under the Safe Drinking Water Act, or private sources such as domestic wells, which are not subject to federal regulation and are generally the responsibility of the homeowner or occupant. Public water systems are required to treat their drinking water
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Evaluating analytical approaches for smarter decision-making in faecal contamination monitoring and assessment Water Res. (IF 11.4) Pub Date : 2025-01-27 Yussi M. Palacios Delgado, Maghfira Saifuddaolah, Rebekah Henry, Kerrie Burge, David Thomas McCarthy, S. Fiona Barker, Christelle Schang, Vinaina Waqa, Brandon Winfrey, Karin Leder
Quantification of faecal indicator organism (FIO) is essential for surveillance monitoring, performance compliance and public health interventions. IDEXX's automated FIO detection technique, TECTATM, and IDEXX Colilert offer greater efficiency than traditional methods but have not been critically compared across diverse levels of faecal contamination or evaluated against key practical requirements
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Shallow groundwater table fluctuations: A driving force for accelerating the migration and transformation of phosphorus in cropland soil Water Res. (IF 11.4) Pub Date : 2025-01-27 Qingfei Chen, Heng Yang, Rongyang Cui, Wanli Hu, Chi Wang, Anqiang Chen, Dan Zhang
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Comammox and AOA responses to ammonia loading rate in oligotrophic environments Water Res. (IF 11.4) Pub Date : 2025-01-27 Run Su, Litong Shi, Yan Wei, Bin Ma
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Hydrogen production by suspension self-rotation enhanced pyrolysis of sludge particles in cyclone Water Res. (IF 11.4) Pub Date : 2025-01-27 Zhiqin Jiang, Yanan Liang, Shu Zhu, Kai Zheng, Yingjie Zhu, Danhui Yang, Hualin Wang, Pengbo Fu
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Overcoming Fe(III) precipitation barrier in acid mine drainage via a visible light-assisted photo-electrochemical system Water Res. (IF 11.4) Pub Date : 2025-01-27 Yang Wang, Ziyuan Huang, Zhang Yan, Zhenchao Lei, Huanxin Ma, Chunhua Feng