2443 papers
This study analyzes the spatiotemporal patterns and driving factors of urban vitality in the linear river-valley city of Lanzhou, revealing that while vitality clusters centrally and fluctuates by time, it is primarily driven by transportation and functional facilities rather than proximity to the Yellow River.
This study utilizes Landsat imagery and machine learning to analyze Kinshasa's urbanization from 2001 to 2024, revealing a rapid, centrifugal expansion of built-up areas and croplands at the expense of forests and savannahs, which has significantly intensified landscape anthropization and underscores the urgent need for improved urban planning and ecosystem protection.
This study establishes a pre-mining ecohydrological baseline for bauxite deposits in Minas Gerais, revealing that while current soil conditions remain viable, unregulated water withdrawals and a critical inverse relationship between soil mechanical resistance and infiltration capacity pose severe risks to spring flow and water security, necessitating rigorous rehabilitation strategies for future mining operations.
This study evaluates three blasthole drill cuttings sampling methods in a Uruguayan limestone quarry, finding that while the radial sampler offers the highest analytical accuracy against a full cone control, the single-insertion cylindrical tube provides the best balance of operational viability for continuous cement production.
This study evaluates the heavy metal pollution status of Nworie River in Southeastern Nigeria, finding that while most metals are within WHO standards, elevated levels of lead and iron due to dredging activities, combined with high ecological risk factors for mercury, indicate significant adverse pollution requiring immediate monitoring and waste management interventions.
This study reveals that Nile tilapia from Sri Lanka's Deduru Oya Reservoir are heavily contaminated with microplastics, predominantly polyethylene fibers, which were found in nearly 83% of sampled fish and pose significant ecological and food safety risks.
This study utilizes an Iterative Observation Differential Interferometric Synthetic Aperture Radar (IO-DInSAR) approach combined with multi-sensor geospatial data to reconstruct the temporal evolution of pre- and post-seismic vertical deformation and landslide activity triggered by the 2022 Mw 6.1 Pasaman earthquake in Indonesia, demonstrating the method's effectiveness for monitoring cascading seismic hazards in tectonically active regions.
This paper proposes an integrated Blue Economy Accounting framework that combines Blue Accounting, Underwater Domain Awareness, and Modelling and Simulation-based Marine Spatial Planning to enable evidence-based, sustainable, and climate-resilient ocean governance in tropical countries.
This study analyzes eighteen years of historical data and future climate projections to demonstrate that rising temperatures, declining rainfall, and shortened growing periods in eastern Ethiopia are driving a steady decline in Arabica coffee yields, necessitating urgent adaptation strategies such as developing heat-resistant varieties and implementing soil conservation measures to safeguard livelihoods and export potential.
This study utilizes a customizable Python tool to analyze NOAA NCEI data from 1996 to 2024, revealing that multi-hazard events and their associated human and economic losses in the contiguous US predominantly occur during spring and summer, with significant spatial hotspots in the Southwest, Central US, and coastal regions, while highlighting the sensitivity of multi-hazard definitions to the chosen temporal window.