Monitoring Groundwater Pumping Using Time‐Lapse Tomography From Ambient Seismic Noise
Abstract Management of water resources will be of critical importance as the effects of climate change accelerate. This implies the need to monitor water resources with high spatial and temporal resolution. One way to meet this need could be passive seismic methods using ambient seismic noise. In this study, we present a novel approach using time‐lapse
Richard Kramer +5 more
wiley +1 more source
Neutralization of omicron subvariants and antigenic cartography following multiple COVID 19 vaccinations and repeated omicron non JN.1 or JN.1 infections. [PDF]
Suntronwong N +9 more
europepmc +1 more source
Anthropogenic Forcing Amplifies Concurrent Risk of Pluvial Pakistan–Hot Yangtze
Abstract During July–August 2022, Pakistan (PKT) experienced catastrophic flooding while the Yangtze River Basin (YRB) endured unprecedented heatwaves. While previous studies have examined the physical teleconnections, there remains a critical gap in quantifying the role of anthropogenic forcing in shaping such trans‐regional concurrent extremes. Here,
Xiao Li +8 more
wiley +1 more source
Petrous apex epidermoid cyst: A rare case. [PDF]
Boumeriem K +6 more
europepmc +1 more source
Abstract In arid and semi‐arid regions, ecosystems exist with shallow water tables, where evaporation is a key component of the water balance. However, systematically addressing soil evaporation remains challenging due to differing interpretations of the mechanisms that control it.
Jorge Renaud +3 more
wiley +1 more source
Charting the Impact of Maternal Antibodies and Repeat Exposures on Sapovirus Immunity in Early Childhood From a Nicaraguan Birth Cohort. [PDF]
Bucardo F +14 more
europepmc +1 more source
A Graph‐Based Deep Learning Approach for Daily Flash Flood Susceptibility Modeling in China
Abstract Flash floods are sudden flood events triggered by intense rainfall, and often exacerbated by mountainous terrain that accelerates surface runoff. To support disaster mitigation and management, deep learning (DL) models have been widely applied to flash flood susceptibility (FFS) modeling. However, traditional deep learning (DL) models overlook
Jun Liu +3 more
wiley +1 more source
The QGIS project: Spatial without compromise. [PDF]
Graser A, Sutton T, Bernasocchi M.
europepmc +1 more source
Abstract Hydrologic forecasts have demonstrated considerable benefits for flood risk reduction and water supply operations in specific basins. However, it remains unclear how these benefits depend on key parameters of the reservoir infrastructure and forecasts.
Alexander B. Chen +4 more
wiley +1 more source
Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains. [PDF]
Franzo G +22 more
europepmc +1 more source

