2485 papers
This study utilizes machine learning, remote sensing, and multitemporal satellite imagery to analyze the severe erosion and accretion patterns caused by Hurricane Erick in Oaxaca, Mexico, and projects future shoreline changes for 2035 and 2045 to inform adaptive coastal management strategies.
This study demonstrates that in anthropogenic landscapes, waterbird beta-diversity is primarily driven by species turnover rather than nestedness and is significantly shaped by the combined filtering effects of climatic and environmental conditions, despite a large proportion of unexplained variance.
This study investigates the formation and loss mechanisms of surface ozone at a semi-urban site in Etawah, India, by analyzing its precursors (CO, NOx, VOCs) and removal pathways through ozonolysis and black carbon aerosols, while employing PCA and ANN models to predict ground-level ozone concentrations.
This study demonstrates that black soil formation in the Sanjiang Plain, NE China, is governed by multi-cycle sedimentary processes involving the erosion, transport, and deposition of well-sorted parent material derived from the Wandashan Mountains during the mid-Holocene, rather than being a product of first-order weathering.
This paper proposes a graph neural network-based framework that integrates multi-source geological data and mineralization knowledge constraints to overcome the limitations of conventional methods in accurately localizing and predicting deep concealed ore bodies under conditions of sparse data and high geological uncertainty.
This study projects that climate change in Iran's arid Semnan Province will significantly increase reference evapotranspiration by up to 16% by the end of the century, particularly in agricultural zones, under CMIP6 scenarios, necessitating urgent adaptive water management strategies.
This study introduces a coastal sea-level gradient index as a robust proxy for Atlantic Meridional Overturning Circulation (AMOC) variability, revealing that observationally constrained climate models project a significantly stronger weakening of the AMOC by 2100 under both high and low emissions scenarios compared to previous IPCC assessments.
This study identifies a unique, long-lived low-δ18O magmatic event between 920 and 680 Ma driven by Neoproterozoic continental extension, which facilitated both shallow meteoric water circulation and deep crustal recycling of seawater-altered mafic rocks.
This study demonstrates that hydroclimatic and hydrological gradients, particularly temperature, precipitation, humidity, salinity, and tidal amplitude, significantly drive leaf morphological diversity in *Avicennia marina* populations along the Indian west coast through a combination of local adaptation and phenotypic plasticity, providing a scientific basis for targeted mangrove conservation and climate-resilient wetland management.
This study introduces a novel fuzzy logic-based GIS modeling approach to map malaria risk in the Ethiopian Rift Valley's Gedeo–Abaya landscape, demonstrating that spatially continuous risk surfaces derived from fuzzified environmental and demographic factors provide more ecologically realistic and actionable insights than conventional crisp classification methods.