2479 papers
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.
This study demonstrates that while weather-dependent renewable sources like solar and wind show favorable installation-level energy returns, expanding the system boundary to include the necessary firming infrastructure (such as storage, overbuild, and backup) drastically reduces overall energy returns and increases carbon emissions, indicating that reliable decarbonization requires firm low-carbon generation with a sufficient net-energy surplus.
This paper presents an integrative spatial decision-support framework that combines future development potential, environmental considerations, and social values to identify priority zones for utility-scale renewable energy, thereby guiding sustainable expansion that minimizes impacts on biodiversity and rural livelihoods.
This study utilizes ecological network analysis to demonstrate that population migration from 2000 to 2020 drove a net increase in China's household carbon emissions, primarily through consumption expansion in eastern coastal urban agglomerations, thereby offering governance strategies to align population redistribution with carbon neutrality goals.
This study quantifies "third-country carbon"—CO₂ emissions generated outside direct trade partners but embedded in their supply chains—revealing that such emissions accounted for nearly 28% of global trade-embodied carbon in 2021 and highlighting the need to shift carbon accounting from endpoint responsibility to path- and source-based frameworks.
This study quantifies global plastic pollution in the Northern Hemisphere by revealing widespread monomer contamination in coastal sand and seawater, developing a new thermal decomposition method to trace pollution origins, and concluding that decades of plastic accumulation continue to release toxic monomers and contribute to global warming.
By integrating a new 3-D electrical resistivity model with geochemical and geological data, this study reveals that the Qulong and Jiama porphyry copper deposits in South Tibet share a deep-seated magma chamber and fluid pathways, while also elucidating the lateral migration of hydrothermal fluids that facilitated the formation of associated molybdenum-dominated deposits.
This study introduces a risk-service mismatch framework integrating ecological risk, ecosystem service values, and machine learning to identify distinct conservation and restoration priorities across China's three major urban agglomerations (Beijing-Tianjin-Hebei, Yangtze River Delta, and Guangdong-Hong Kong-Macao Greater Bay Area) from 2000 to 2020.
This study demonstrates that integrating hydrodynamic cavitation with ozonation as a pretreatment significantly enhances the biodegradability and biogas production of mature landfill leachate, achieving a 53.1% overall COD removal and favorable energy efficiency compared to untreated controls.