2416 papers
This study demonstrates that in Texas, long-run tropical cyclone mortality is significantly concentrated in high-social-vulnerability counties, whereas lower-vulnerability areas show no statistically significant mortality response, highlighting the critical role of community capacity in disaster resilience.
This study demonstrates that integrating Sentinel-2 satellite imagery with machine learning models in Google Earth Engine provides a cost-effective and accurate alternative to traditional field sampling for monitoring dissolved oxygen, nitrate, and turbidity levels in Ethiopia's Laga Dadi Reservoir.
This study utilizes multi-source datasets to reveal distinct, region-specific precipitation formation pathways across Southwest China, highlighting how complex terrain drives spatial heterogeneity in cloud microphysical processes such as autoconversion, accretion, and phase transitions.
This study evaluates three rainwater harvesting filter designs at the University of the Punjab, finding that while most parameters met quality standards, the bio-char-based F2 design failed due to excessive electrical conductivity, highlighting the critical importance of selecting appropriate filter media for sustainable groundwater recharge.
This study utilizes high-resolution multi-proxy records from the GISP2 ice core to demonstrate that rapid, large-scale atmospheric and hydrological reorganization, rather than a specific sequence of source-driven changes, primarily drove the abrupt climate fluctuations observed during Dansgaard–Oeschger events.
Based on a comprehensive analysis of over 6,000 households in South India, this study demonstrates that operational service conditions—such as water pressure, clarity, and complaint resolution—are the primary predictors of multidimensional household water service quality, significantly outperforming traditional access-based indicators and household priorities in explaining service deficiencies across heterogeneous systems.
This study provides the first evidence that tidal flooding in the Hampton Roads region of the Chesapeake Bay independently drives subsequent increases in chlorophyll *a* concentrations exceeding water quality impairment thresholds, particularly during summer and fall when combined with high temperatures, sunlight, and amplified spring tides.
This study demonstrates that neglecting sediment–hydraulic coupling in Himalayan river models leads to a systematic underestimation of flood hazards, as evidenced by a 1.083 m rise in water surface elevation and significantly increased flow velocities in the Toorsa River when sediment transport is included in HEC-RAS simulations.
This study utilizes OpenLCA to demonstrate that composting food waste is a significantly more sustainable management strategy than landfilling, reducing greenhouse gas emissions by 81.9% and ecotoxicity by over 83% while supporting circular economy principles and UN Sustainable Development Goals.
This study reveals that in *Labeo rohita* from Taunsa Barrage, microplastic distribution varies significantly by tissue type, with the gastrointestinal tract holding the highest absolute burden while gills and muscle exhibit the highest mass-normalized concentrations and smallest particle sizes, respectively, highlighting the necessity of multi-tissue analysis to accurately assess contamination risks.