2485 papers
This study assesses the water quality of wells and boreholes across different land-use types in Ibadan's River Ona catchment, finding significant variations in physicochemical parameters and non-compliance with WHO and Nigerian standards due to anthropogenic pollution, thereby recommending improved water management policies.
This study integrates facility-level data with urban climate modeling to reveal that concentrated heat emissions from data centers in California create localized warming hotspots, significantly increasing land surface and air temperatures, particularly at night and in densely populated areas like Los Angeles, thereby highlighting the need for informed urban planning and facility siting.
Through in situ hydraulic testing and stochastic inverse analysis at the Horonobe Underground Research Laboratory, this study demonstrates that in highly fractured, high-porosity mudstones with low swelling properties, both high matrix hydraulic conductivity and fractures significantly contribute to groundwater flow regardless of fracture density.
This study presents an explainable machine learning framework using XGBoost and Temporal Attention LSTM models to forecast drought severity across six South Australian IBRA subregions with high accuracy, revealing that lagged SPI-12 and rainfall anomalies are dominant predictors and mapping the six-year propagation of the Millennium Drought from the Murray Scroll Belt to the Eyre Mallee.
This study demonstrates that concurrent heat and water deficits, rather than single hazards alone, independently reshape the phenology of China's staple crops and disrupt cropping-system turnaround windows, particularly in southern regions and after 2010, highlighting a critical pathway for climate adaptation policy.
This study reveals that seasonal rainfall predictability, particularly in the South Asian monsoon, is governed not solely by remote oceanic forcing like ENSO but significantly by the persistence and spatial organization of terrestrial memory reservoirs, where soil moisture acts as a primary driver that often mediates oceanic influences and enhances forecast skill when initialized.
This paper proposes a risk-responsive spatial planning framework for the Kullu Valley that integrates downscaled climate projections and hydrodynamic simulations to address the critical exposure of over 8,400 structures to future flood hazards caused by rapid urbanization and climate change, recommending specific adaptation measures such as a re-zoned river corridor buffer and nature-based slope stabilization.
This study compares woody plant assemblages in Seasonal Atlantic Forest remnants and 22–25-year-old restoration sites in southern Brazil, finding that while restoration sites show high floristic similarity driven by planted species, they remain distinct from remnants, highlighting the need to account for historical disturbance in reference selection and acknowledging that full ecological convergence is a long-term process.
This comprehensive critical review synthesizes 312 high-quality studies on machine learning and deep learning for ground deformation analytics, utilizing a novel tripartite framework and bibliometric analysis to identify research gaps in uncertainty quantification and advocate for physics-informed, interpretable models to enhance geohazard mitigation.
This study quantifies the blue water footprint of 25 Iranian hydropower plants from 2004 to 2021, revealing that evaporation losses in arid and semi-arid regions are significantly high and highly variable, thereby underscoring the urgent need for improved reservoir management and climate-integrated strategies to ensure sustainable energy-water interactions.