This study presents the temporal variations in riverine Cs concentrations and fluxes to the ocean during high-flow events in three coastal river catchments contaminated by the Fukushima Daiichi Nuclear Power Plant accident. River water samples were collected at points downstream in the Niida, Ukedo, and Takase Rivers during three high-flow events that occurred in 2019-2020. Variations in both the dissolved and particulate Cs concentrations appeared to reflect the spatial pattern of the Cs inventory in the catchments, rather than variations in physico-chemical properties of water and suspended solid. Negative relationships between the Cs concentration and δN in suspended solid were found in all rivers during the intense rainfall events, suggesting an increased contribution of sediment from forested areas to the elevation of particulate Cs concentration. The Cs flux ranged from 0.33 to 19 GBq, depending on the rainfall erosivity. The particulate Cs fluxes from the Ukedo River were relatively low compared with the other two rivers and were attributed to the effect of the Ogaki Dam reservoir upstream. The percentage of Cs desorbed in seawater relative to Cs in suspended solids ranged from 2.8% to 6.6% and tended to be higher with a higher fraction of exchangeable Cs. The estimated potential release of Cs desorbed from suspended solids to the ocean was 0.022-0.57 GBq, and its ratio to the direct flux of dissolved Cs was 0.12-6.2. Episodic sampling during high-flow events demonstrated that the particulate Cs flux depends on catchment characteristics and controls Cs transfer to the ocean.
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http://dx.doi.org/10.1016/j.scitotenv.2022.153408 | DOI Listing |
Water Res
January 2025
National Center for Public Health and Pharmacy, Albert Flórián Street 2-6., H-1097, Budapest, Hungary. Electronic address:
Riverbank filtration is a cost-effective and efficient method for drinking water production, using the natural filtration capacity of the river gravelbed. Removal efficiency for organic micropollutants (OMP) in field studies is generally calculated by comparing the concentrations measured in surface water and in the wells either on the same day or with a shift of fixed time interval, neither of which can account for the variability of surface water quality and travel time in the aquifer. The present study proposes a novel method based on travel time distribution determined by a numerical transport model with a hypothesis that it will provide more reliable estimate for OMP removal.
View Article and Find Full Text PDFSci Rep
January 2025
UNESCO Centre of Water Law, Policy & Science, University of Dundee, Dundee, UK.
Understanding snow and ice melt dynamics is vital for flood risk assessment and effective water resource management in populated river basins sourced in inaccessible high-mountains. This study provides an AI-enabled hybrid approach integrating glacio-hydrological model outputs (GSM-SOCONT), with different machine learning and deep learning techniques framed as alternative 'computational scenarios, leveraging both physical processes and data-driven insights for enhanced predictive capabilities. The standalone deep learning model (CNN-LSTM), relying solely on meteorological data, outperformed its counterpart machine learning and glacio-hydrological model equivalents.
View Article and Find Full Text PDFJ Paediatr Child Health
January 2025
WHO Collaborating Centre for Reference and Research on Influenza, VIDRL, Doherty Institute, Melbourne, Victoria, Australia.
Aims: Primary aim was to review severe acute respiratory infections (SARI) hospitalisations caused by respiratory syncytial virus (RSV) in children aged < 2 years in paediatric hospitals in Australia. Secondary aims included RSV subtyping, assessing RSV seasonality and contributing to the World Health Organisation's RSV surveillance programme.
Methods: We prospectively reviewed the medical records of children (< 2 years of age) with a confirmed SARI who were admitted to one of four major Australian paediatric hospitals and had a respiratory sample analysed by Polymerase Chain Reaction (PCR).
Curr Med Imaging
January 2025
Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Purpose: This study aimed to assess the hemodynamic changes in the vena cava and predict the likelihood of Cardiac Remodeling (CR) and Myocardial Fibrosis (MF) in athletes utilizing four-dimensional (4D) parameters.
Materials And Methods: A total of 108 athletes and 29 healthy sedentary controls were prospectively recruited and underwent Cardiac Magnetic Resonance (CMR) scanning. The 4D flow parameters, including both general and advanced parameters of four planes for the Superior Vena Cava (SVC) and Inferior Vena Cava (IVC) (sheets 1-4), were measured and compared between the different groups.
PLoS One
January 2025
Department of Anesthesiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Background: Literature regarding the advantages of HFNC in infants for ensuring oxygen supply after non-cardiac surgery is insufficient. The purpose of our study is to compare COT vs. HFNC on postoperative outcomes in infants undergoing non-cardiac surgery.
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