Development of HECAM passive samplers for discovering the occurrence, sources, and transport of tire additives and their transformation products in surface waters.

Spatiotemporal distribution of legacy and alternative per- and Polyfluoroalkyl substances (PFASs) in major rivers of the Pearl river delta.

Occurrence, landscape impact, and risk assessments of pesticides in a major river basin of a tropical island, South China.

Microplastics in aquaculture ponds of Bangladesh: Source attribution, pollution load, and ecological risk assessment.

Ecological risks and recent inputs of banned and current-use pesticides in surface water and sediment from Malawi's tobacco-growing region.

Pharmaceutical footprint in the river ecosystem: Suspect screening approach with high resolution mass spectrometry.

Modulating electrode area in microbial fuel cell enhanced floating beds: synergistic effects on bioelectricity generation and perfluorooctanoic acid degradation.

Changes in salinity indicators in surface water during the operation of a pump station in the Turawa Reservoir catchment (southern Poland)

Evaluation of parasitic and tissue-specific accumulation of emerging contaminants in wild European chubs (Squalius cephalus) across the Seine River system.

Insights into microbial carbon sequestration mechanisms in the Eastern Arabian Sea using metagenomic analysis.

This study presents findings from the opportunistic cruise, which performed microplastic and chemical contaminant sampling in surface waters, sediments, and ice in a sector of the western Arctic and the southwestern part of the Antarctic Peninsula. Microplastics were detected in 100% of the samples. Floating microplastic densities (100-5000μm) reached up to 314,251 items/km2 in Antarctica and 63,593 items/km2 in the Arctic. The smallest particles (100-300μm) dominated in southwestern Antarctic Peninsula (97%) where the fibers (80%) and fragments (19%) were the main components. In the eastern Arctic, the two size classes (100-300μm and 300-1000μm) were more evenly distributed (58% and 40% respectively) and polymer diversity. Sediment microplastic concentrations were higher in the Arctic (up to 470 items/kg) compared to southwestern Antarctic Peninsula (maximum 399 items/kg). OrganoPhosphate Esters and PhthAlate Esters were also measured for the first time in southwestern Antarctic Peninsula seawater (35.18±18.31ng/L and 72.68±39.71ng/L, respectively) and ice (50.44±24.79ng/L and 16.72±11.46ng/L, respectively). This study demonstrates the utility of cruise ship-based sampling for monitoring remote regions and it contributes critical baseline data for global microplastic assessments.

Bioaccumulation, trophic transfer, and health risk assessment of microplastics in the food web of Wuliangsuhai Lake, China: Higher risk for children.

Energy-saving potential for surface vehicles by lift-off from the water surface through recycling the drag force of flapping foils

Numerical modeling of dissolved mercury dynamics and transformation in sea water in Minamata Bay, Japan.

Relationship between biofouling abundance on wood and the recruitment and growth of the wood-boring bivalve Bankia martensi (Stempell, 1899) - Seasonal and bathymetric variations.

Experimental investigation of heat transfer characteristics of distilled water and ethanol in electrospray surface cooling

Betaine-modified La-doped ferrihydrite for efficient phosphate removal to ultralow levels.

Solubility trapping is a key mechanism in geological carbon sequestration (GCS), yet CO2 solubility in water-filled nanopores often deviates markedly from bulk behavior. We hypothesize that variations in CO2 solubility within silica nanopores originate from differences in interfacial water structure that are controlled by surface chemistry. In particular, specific Si-OH arrangements on Q2, Q3, and Q4 silica surfaces (defined by the number of Si atoms bonded through oxygen to a central Si atom) modulate hydrogen-bonding (HB) environments and adsorptive volumes that regulate CO2-water-solid interactions. We conducted molecular dynamics simulations of water-saturated Q2, Q3, and Q4 silica confinements under representative GCS conditions. Interfacial density profiles, HB distributions, and CO2 spatial probability maps were analyzed to quantify fluid-solid interactions and to evaluate CO2 solubility relative to bulk water. Hydrophilic Q3 surfaces exhibit enhanced CO2 solubility compared to the bulk liquid, arising from CO2-water co-adsorption facilitated by a dense interfacial HB network. Hydrophobic Q4 confinements, by contrast, show pronounced over-solubility dominated by strong direct CO2 adsorption within enlarged low-HB regions. Q2 surfaces display intermediate behavior reflecting mixed hydrophilic-hydrophobic character. We introduce two mechanistic descriptors, adsorptive volume and HB site density. High HB site density promotes hydrophilicity and co-adsorption, whereas large adsorptive volume favors direct CO2 adsorption and over-solubility. Overall, these results demonstrate that CO2 solubility in silica nanopores is jointly governed by interfacial water structure and surface chemistry. The findings provide molecular-scale insights into solubility trapping in silica-rich formations and inform the design of engineered materials for CO2 capture and storage.

Remote sensing plays an increasingly critical role in water quality monitoring due to its capacity for consistent observations on both large and small water bodies. However, current remote sensing approaches face limitations in aligning satellite observations with in-situ measurements, largely due to the dynamic vertical behavior of algae and the temporal constraints of satellite overpasses. Consequently, many studies rely on large water bodies, space–time substitution, or opportunistic imaging of blooms, which restricts the applicability of remote sensing for routine monitoring tasks such as periodic chlorophyll-a (Chl-a) estimation. With near-daily global coverage, PlanetScope imagery presents new opportunities to overcome these constraints. In this study, we propose a novel field-sampling augmentation framework that integrates satellite observations with in-situ data by modeling the diurnal vertical migration of algae through an Algal Behavior Function (ABF). This function enables the temporal adjustment of in-situ measurements, generating refined field-to-satellite matchups that enhance the robustness of Chl-a estimation models. We applied this method using PlanetScope imagery from 2022 to 2023 and co-located sonde measurements, incorporating vertical profile and timestamp information to correct for field-to-satellite temporal mismatches at two lakes in Ohio (Grand Lake St. Marys, samples = 84, Del-Co reservoirs, samples = 333). The augmented model improved Chl-a prediction accuracy (RMSE reduce) by 5.8%-18.0% compared to baseline models without refinement, with notable gains during non-bloom periods, offering potential for earlier bloom detection. Furthermore, the ABF demonstrated moderate geographic transferability: models using ABFs derived from a reservoir successfully improved Chl-a predictions at two additional lakes located 156 km (western Lake Erie) and 383 km (Saginaw Bay, Lake Huron) away, with accuracy gains (RMSE reduce) of 28.5%-35.3%. Collectively, these results position ABF as a practical, sensor-agnostic pre-processing step that can be embedded in operational workflows to improve high-resolution Chl-a retrievals, enable earlier harmful algal bloom alerts, and support cross-basin trend analyses for management.

Seasonal dynamics, risk prioritization, and management implications for industrial chemicals, pesticides, and PPCPs in the Yangtze River Delta.