2443 papers
This study characterizes the physical and hydraulic properties of a 2.0-meter Oxisol profile in a Brazilian urban cemetery, revealing that while intermediate layers offer favorable aeration, high microporosity and water retention in deeper layers may restrict vertical fluid flux and necessitate further investigation into environmental risks.
This study demonstrates that in-situ engineered refuges using sustained deep-seawater cooling effectively prevent severe heat stress and bleaching across diverse coral species during marine heatwaves, whereas shading offers limited protection only to moderately susceptible species while imposing growth constraints.
This study develops a game theory-based combined weighting framework for multi-medium geological environmental suitability assessment in Yongjia County, demonstrating its superior ability to identify longevity-associated zones by revealing that environmental media (water, soil, air) are primary determinants of habitability while topography modulates local heterogeneity.
This study utilizes multivariate analysis and the VN-WQI to characterize reach-scale pollution gradients and seasonal variations in the heavily polluted Nhue River, Vietnam, demonstrating that combining aggregate indices with statistical techniques effectively identifies management priorities in urban waterways despite limited data.
This study evaluates ERA5- and CMIP6-driven regional climate simulations against observational data to demonstrate that while future projections of Australia's hourly precipitation extremes vary by emission scenario and model, robust increases in the frequency and magnitude of these events are expected under high-emission conditions, underscoring the critical need for emission reductions and multi-model ensembles to improve flood risk assessments.
This study utilizes a double machine learning framework on a decade of US observational data to quantify how precipitation removes particulate matter under normal and wildfire conditions, revealing that while removal rates peak at moderate rainfall intensities, they decline with increasing wildfire smoke loading, and providing new observation-based washout coefficients for air quality modeling.
This study employs an integrated 22-stage geospatial and interpretable machine-learning framework to demonstrate that while both soil cadmium and lead exhibit lithological and anthropogenic controls in Sri Lanka's Dry Zone, cadmium serves as the most consistent statistical marker of Chronic Kidney Disease of Unknown Etiology (CKDu) susceptibility, particularly when considered alongside lead co-exposure and specific soil-hydrological factors.
This study utilizes remote sensing, GIS, and machine learning to demonstrate that rapid urban expansion in Dera Ghazi Khan, Pakistan, from 2000 to 2025 has significantly intensified the Surface Urban Heat Island effect by increasing Land Surface Temperature through the conversion of vegetation and barren land into built-up areas, while precipitation variability modulates these thermal impacts.
This study demonstrates that routine physical maintenance and shield cleaning of Automatic Weather Stations significantly improve data quality by reducing systematic biases and increasing agreement with manual observations for daily maximum temperature and relative humidity.
This study utilizes Vertical Electrical Sounding (VES) in the Gerado Basin of north-central Ethiopia to delineate coal-bearing formations between basaltic units, revealing two horizons with a mean combined thickness of 5.13 m and estimating a preliminary coal resource of approximately 358,750 tons, while emphasizing the need for further verification before economic development.