1440 papers
This qualitative study proposes a risk management system utilizing a probability-impact matrix to address climate change challenges in the construction sector, aiming to advance sustainable development goals and promote green building practices.
This study evaluates various high-resolution climate models and downscaled products for simulating Southern Florida wet-season rainfall, finding that while statistical downscaling best captures observed patterns, nominal 25-km resolution alone is insufficient due to persistent biases in rainfall intensity and frequency that require improved convection and air–sea coupling processes.
By integrating high-resolution InSAR and GNSS data, this study reveals that intra-block faults accommodate a significant portion of shear strain within the central-eastern Bayan Har block, challenging rigid block kinematics and supporting a semi-confined non-rigid bookshelf-fault model for understanding continental deformation and seismic hazards in Tibet.
This study utilizes multi-temporal ECOSTRESS observations to characterize the spatial heterogeneity and driving factors of nighttime Surface Urban Heat Island Intensity in Chongqing, revealing generally weak cool-island conditions with localized hotspots and demonstrating that underlying surface indicators explain thermal variability more effectively than topography in this mountainous city.
This study develops and validates a model integrating field measurements, Sentinel-2 satellite data, and SWAT+ simulations to quantify erosion-driven soil organic carbon loss in the tropical Sepaku watershed, revealing that intensified mixed agriculture in the southeastern region causes the most significant carbon depletion due to high anthropogenic pressure.
This study evaluates the climate resilience of Almaty's urban dendroflora by analyzing long-term meteorological trends and assessing 107 tree species, revealing that nearly 80% exhibit high adaptive capacity and identifying foothill areas as optimal habitats to guide future climate-resilient urban planning in Central Asia.
This study demonstrates that a zonal wave train north of the Himalayas is the most critical predictor for the two-day statistical forecasting of bomb cyclones near Japan, with additional but lesser contributions from a southern wave train and low sea level pressure over southeast China.
This study demonstrates that biological soil crusts promote the growth of *Stipa bungeana* in dryland ecosystems by enhancing soil nutrients and enzyme activities, which in turn induce root morphological plasticity and optimize carbon allocation patterns.
This study provides the first systematic year-long assessment in Agra, India, revealing that airborne endotoxin levels in PM10 exhibit strong seasonal variation driven by winter stagnation and bacterial/fungal presence rather than mineral dust, yet pose acceptable non-carcinogenic health risks for all demographic groups.
This quantitative study utilizes statistical analysis to demonstrate that fluid dynamic components—specifically pressure gradients, Coriolis force, sea surface temperature, and ocean circulation—significantly influence weather and climate systems, with ocean circulation identified as the primary driver of global climate regulation through heat redistribution.