2443 papers
This systematic review of 75 studies demonstrates that flood events in the River Niger Basin create cascading Water–Food–Energy security risks across hydropower dams and downstream sectors, arguing that effective adaptation requires shifting from single-sector engineering approaches to integrated, transboundary nexus management frameworks.
This study reveals that fossil fuel combustion in U.S. buildings, particularly residential natural gas use, causes approximately 14,000 premature deaths annually—roughly three times higher than previously estimated—highlighting the critical public health benefits of reducing building-sector emissions.
This study utilized Sentinel-2 satellite imagery and Unmanned Aerial Vehicle validation to characterize the year-round spatio-temporal dynamics of algal blooms along the Mazatlán coast from 2016 to 2024, demonstrating the effectiveness of remote sensing for developing early warning systems to mitigate socio-economic and public health risks.
This study demonstrates that a machine learning method utilizing global mean temperature and sea surface temperature variability can outperform dynamical models in predicting record-breaking summer heat events 5 to 10 years in advance, revealing that such predictability has already emerged in high-warming and teleconnection-influenced regions and is projected to become skillfully achievable across most land areas within the next 10 to 30 years under current warming trends.
This study utilizes incident-angle corrected InSAR analysis to quantify the coseismic surface displacements of the 2018 Lombok earthquake sequence, revealing distinct uplift patterns along the Flores Back-Arc Thrust and significant volcanic subsidence at Mt. Rinjani that underscore the necessity of geometric corrections for accurate hazard assessment in complex volcanic back-arc environments.
This study demonstrates that global warming significantly accelerates the photodegradation and fragmentation of common plastics (PP, PE, and PET) into secondary microplastics, with the most pronounced relative increases occurring in rapidly warming high-latitude regions despite the highest absolute rates being found in the tropics.
This study utilizes a CMIP6 multi-model ensemble to project that annual precipitation from wet days (PRCPTOT) in the Rapti River Basin will consistently increase across global warming levels of 1.5°C, 2°C, and 3°C, highlighting heightened flood risks and the urgent need for climate adaptation strategies.
This study utilized remote sensing and machine learning models to map the spatial distribution and identify key climatic, topographic, and anthropogenic drivers of naturally regenerated vegetation in China's Yellow River Basin from 1990 to 2020, revealing its predominant grassland composition, southeast-to-northwest gradient, and significant clustering to inform differentiated ecological restoration strategies.
This study utilizes advanced petrological, geochemical, and mineralogical techniques to assess the organic and inorganic composition of Cenozoic lignite deposits in the Sonari region of the Barmer Basin, Rajasthan, with a specific focus on identifying environmentally sensitive trace elements and their potential impacts during mining and utilization.
This study combines remote sensing data and community surveys to reveal that rapid population growth and agricultural expansion in Tanzania's Rungwe Volcanic Province are driving significant land-use changes that degrade forests, alter water levels, and reduce crop yields, necessitating urgent ecosystem management and land-use planning.