2353 papers
This study demonstrates that retrofitting marine piles in a tropical urban estuary with 3D-printed eco-engineered habitat panels significantly enhances biodiversity and provides critical thermal buffering by creating cooler microhabitats that reduce temperature extremes compared to standard control surfaces.
This study demonstrates that the choice of ocean reanalysis product introduces significant, basin-dependent, and time-varying biases in inferred tropical cyclone intensity and heat potential, often reversing conclusions about storm strength and trends, thereby cautioning against relying on single datasets for such analyses.
This paper presents a large, openly available dataset of contactless, UAS-borne water-penetrating radar and sonar bathymetric measurements from seven European and African rivers, validated against ground truth to demonstrate the effectiveness of airborne mapping across diverse natural conditions.
This study identifies the recurrent landslides at Chakki Moad along NH-05 in Himachal Pradesh as a result of the complex interplay between weak lithology, active tectonics, adverse geomorphology, hydrological factors, and anthropogenic disturbances, recommending comprehensive stabilization and monitoring measures to mitigate risks.
This study demonstrates that implementing the fastest technically feasible energy transitions to limit peak warming to 2.0°C and return to 0.8°C could drastically reduce the probability of triggering climate tipping elements from 5.8% to 0.1% over the next century while delaying potential tipping events by centuries.
This study optimizes Germany's 2050 energy system across power, heat, and mobility sectors under planetary boundaries, revealing that while economically based thresholds allow for sustainable designs, stricter limits necessitate reducing private mobility demand, mitigating material supply impacts, and expanding carbon dioxide storage.
Using ERA5 reanalysis data from 1995–2025, this study characterizes how rainfall, convective instability, and low-level humidity over the Indonesian Maritime Continent respond spatially to varying intensities of El Niño and La Niña, revealing uniform moisture-rainfall deficits and surpluses that scale with event strength, a non-monotonic west–east dipole in instability, and asymmetric spatial expansions or contractions of significant anomalies during strong events.
This study evaluates groundwater quality in semi-arid Rajasthan, India, by integrating natural background levels and pollution indices to reveal that while 62% of samples exhibit salinity issues, significant nitrate and fluoride contamination driven by agricultural and urban activities affects the majority of the region's groundwater, necessitating targeted management strategies.
This systematic review of 51 studies highlights the growing dominance of machine learning models like Random Forest and XGBoost, combined with remote sensing data such as MODIS and Sentinel-2, in forest fire mapping and risk assessment, while identifying critical geographical gaps in African research and calling for future advancements in data resolution, model validation, and global coverage.
This study utilizes spatial analysis of unprotected wetlands, recent land conversions, ecosystem services, and projected climate extremes to prioritize distinct conservation strategies—protection in southwestern Illinois, enhancement in the northeast, and restoration in the northwest and southeast—thereby offering a scalable framework for climate-adaptive wetland management.