2385 papers
This study proposes that silica-containing thrombolites in the Visean Tateishi Formation of Japan formed through early diagenetic precipitation of dissolved silica derived from sclerosponges, driven by pH changes associated with organic matter decomposition and sulfate reduction, rather than representing primary microbial structures.
This study of 127 Pakistani districts reveals that while population flood exposure has minimal explanatory power for regional welfare differences, multidimensional structural vulnerability is the primary driver of disparities in both general and poor household consumption, suggesting that disaster risk planning must prioritize addressing structural vulnerabilities over mere exposure metrics.
This study employs a socio-metabolic approach and historical GIS analysis to demonstrate that the 19th-century industrial regulation of the Viennese Danube transformed the river from a dynamic, hybrid system into a stable channel, thereby quadrupling urban colonisation and fundamentally altering the relationship between societal material flows and the landscape.
This study demonstrates that global water stress from mining battery minerals can be significantly reduced through strategic relocation to water-abundant regions, demand reduction via recycling, and desalination, with roughly half of the stress-weighted water use avoidable at a modest 10% cost increase.
This study identifies that while technical solutions exist for recycling expanded polystyrene (EPS) in Greater Manchester, its transition to a circular economy is primarily hindered by governance and information barriers—such as low public awareness, high transport costs, and weak demand—rather than technical feasibility, necessitating coordinated policy, infrastructure investment, and stakeholder collaboration to overcome these challenges.
An expert assessment reveals that increasing disturbances in the Arctic-Boreal Zone will drive significant additional net carbon emissions over the next century, persisting long after global net-zero targets are met and remaining largely unaccounted for in current budgets due to insufficient data and modeling.
This study demonstrates that open-source GIS tools and freely available Copernicus satellite data can effectively and cost-efficiently assess natural disaster impacts by successfully mapping the 2024 Wrocław flood via NDWI and the 2022 Batang Kali landslide via NDVI, thereby supporting reproducible analysis for risk reduction and decision-making.
This study demonstrates that Google Earth Engine offers a transferable computational framework for post-event geospatial diagnostics of contrasting natural hazards, successfully applying a unified workflow to map the 2024 Lower Silesia flood and the 2022 Batang Kali landslide while revealing that diagnostic accuracy is highly dependent on the specific hazard type and remote sensing indicators used.
This study experimentally demonstrates that varying sodium chloride concentrations and temperatures significantly influence the stress-strain behavior and desiccation cracking patterns of clay, providing a critical framework for predicting the mechanical performance of marine clay in saline environments for coastal infrastructure design.
This study presents an innovative multi-methodological framework combining deep learning, ensemble modeling, and geostatistics to identify hydrothermal dynamics as the primary trigger of retrogressive thaw slumps in Hoh Xil and generate high-precision susceptibility maps for climate-adaptive engineering planning.