1447 papers
This study evaluates groundwater quality across Greek aquifers using a data-driven analysis of 2018–2020 monitoring data to identify dominant hydrochemical processes, such as salinization and carbonate dissolution, and to reveal significant hydrochemical differentiation among porous, karst, and fractured aquifer types driven by lithology and anthropogenic inputs.
This study utilizes a national-scale, high-resolution analysis of over 330 U.S. cities to demonstrate that while climate limits vegetative shade potential, urban form—specifically building density—determines the maximum shade available, revealing predictable patterns that support integrating shade metrics into heat planning frameworks.
This study evaluates the severe heavy metal pollution and associated health risks in the groundwater of a southern Chinese chemical industrial park, revealing that industrial activities drive widespread contamination with Mn and Co posing significant non-carcinogenic risks while Al contributes to carcinogenic concerns, thereby providing a scientific basis for targeted remediation.
This study demonstrates that using native hourly resolution from convection-permitting climate ensembles, rather than aggregated daily data, significantly alters long-term local water-balance partitioning and drought-stress diagnostics by capturing process-relevant intra-day dynamics, particularly increasing interception evaporation and reducing runoff at forested sites.
This study characterizes the multiscale pore structures and dynamic evolution of unconsolidated sandstone gas reservoirs in the Tainan Block, revealing that reservoirs combining microfractures with macroporosity yield superior productivity while water invasion and depletion significantly degrade pore connectivity and permeability by shifting the system toward smaller pore-throat structures.
This study analyzes uranium isotopes (234U, 235U, and 238U) in environmental samples near Kowary, Poland, revealing significant concentration variations and radioactive disequilibrium between 234U and 238U while confirming that natural isotopic ratios remain largely intact, thereby demonstrating the analytical potential of combining alpha and mass spectrometry for investigating uranium geochemistry in post-mining environments.
This study investigates heavy metal pollution characteristics, sources, and health risks in indoor and outdoor dust from vocational and comprehensive universities in East China, revealing moderate zinc pollution and tire wear or vehicle exhaust as primary sources while confirming no significant non-carcinogenic or carcinogenic health risks to students and staff.
This study reveals that the Mwambashi–Kafue River system in Zambia suffers from significant seasonal heavy metal contamination, particularly copper, which accumulates primarily in sediments and poses considerable ecological risks driven by mining-related activities.
This study utilizes remote sensing and precipitation data to demonstrate that tropical cyclones in the eastern United States drive disproportionately high riverine sediment flux compared to non-cyclone events, revealing fundamentally different sediment response mechanisms that are critical for infrastructure planning and water quality management.
This study presents an integrated GeoAI–ML–XAI framework for semi-arid regions that utilizes high-accuracy machine learning models and novel explainability metrics to predict groundwater pollution, identify key contamination drivers, and generate sustainable, interpretable vulnerability indices for improved environmental decision-making.