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http://dx.doi.org/10.1111/gcb.70075 | DOI Listing |
Sci Total Environ
September 2025
U.S. EPA, Office of Research and Development, Water Infrastructure Division, 26W. Martin Luther King Dr., Cincinnati, OH 45268, USA.
Hydroclimatic impacts affect natural organic matter (NOM) in surface water, the precursor of disinfection by-products (DBPs) including four regulated trihalomethanes (THM). Treatment adaptation analysis on the impact is hindered by a lack of mechanistic models that quantify competitive reactions of chlorine, bromine, and other oxyanions with NOMs in disinfection of treated waters. Here we propose a THM model using competitive reaction kinetics and analyzed THM formation of treated waters at the Miller water plant in Cincinnati, USA during a flash flood in the Ohio River.
View Article and Find Full Text PDFEnviron Sci Technol
August 2025
Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research─UFZ, 04318 Leipzig, Germany.
Pharmaceutical pollution is escalating due to the increasing prevalence of diseases driven by an aging population and socioeconomic and hydroclimatic changes, challenging the EU's goal of achieving a toxic-free environment. To comprehensively assess pharmaceutical pollution in rivers, we developed a spatially resolved model to predict pharmaceutical concentrations and associated ecological risks across 1 km river stretches in Saxony, Germany. We focused on five pharmaceuticals: two antiepileptics (carbamazepine, gabapentin), two antibiotics (ciprofloxacin, sulfamethoxazole), and one antidiabetic (metformin); and their toxicity to three aquatic species: algae, daphnia, and fish.
View Article and Find Full Text PDFMethodsX
December 2025
School of Chemical Sciences, Glasnevin, Dublin 9, Ireland.
Improving European surface water quality requires urgent action to address diffuse pollution sources particularly from agriculture, with increased frequency and intensity of hydroclimatic events also a key driver of pollutant export to waters and water quality decline worldwide. However, the need for comprehensive, practical protocols for sensor deployment, sensor maintenance and data management for the adoption of high frequency water quality monitoring has been highlighted, along with the challenges for citizen scientists in analyzing millions of water quality data points and sharing metadata. The practical method presented, with reproducibility built into the workflow, is designed for multiple users and a step-by-step application of the workflow is demonstrated including:•Deployment arrangement for water quality sondes in two temporary monitoring stations with different site characteristics.
View Article and Find Full Text PDFSci Adv
August 2025
State Key Laboratory of Geomicrobiology and Environmental Changes, China University of Geosciences, Wuhan, China.
Terrestrial water availability sustains livelihoods, socioeconomic development, and ecosystems. Despite an understanding of contributions of oceanic moisture to terrestrial hydroclimatic extremes, whether surpluses of terrestrial water availability migrate directly and contiguously from the ocean and the influence of climate change on this process remain unclear. Here, we use a coherent feature-tracking method to identify ocean-to-land water availability surpluses (OWASs), characterized by spatiotemporally contiguous migration of excess atmospheric freshwater (precipitation-minus-evapotranspiration) from ocean to land.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
July 2025
Institute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh.
The Upper Meghna Basin (UMB), a critical large transboundary highly responsive catchment shared between Bangladesh and India, is facing escalating hydro-climatic extremes under climate change, impacting millions of livelihoods. This study innovatively assesses the future changes with monthly, seasonal, and annual matrices of near and far future rainfall, temperature, high flows, and low flows including flood frequencies, shifting patterns, and probability of exceedances using the Soil and Water Assessment Tool (SWAT), for the very first time, forced by bias-corrected CMIP6 projections of two unique SSP2-4.5 and SSP3-7.
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