ABSTRACT This study examines the impact of epistemic uncertainties on the seismic risk of a critical transport system, the Campania railway network, during the ongoing bradyseismic unrest at Campi Flegrei, south of Italy. Seismic risk is quantified as the length of the railway requiring post‐event inspection, an operational proxy for service disruption.
Raffaele De Risi +3 more
wiley +1 more source
ABSTRACT Terrigenous sediments are transported from coastal areas and shelves to deeper continental margins by multiple processes. Understanding these processes is critical for evaluating the ecological impacts of fine‐grained sediment deposition and predicting future changes in sediment dispersal under rapid climate change.
Gyu Tae Sim +5 more
wiley +1 more source
Invisible Ship Tracks Produce Mean‐State Cloud Microphysics Perturbation in Tropical Trade Cumulus
Abstract Aerosol effects in cumulus‐topped boundary layers remain relatively unconstrained and drive uncertainty in climate modeling. We assess the impacts of shipping aerosol on trade cumulus, combining satellite retrievals and large eddy simulations (LES).
Chris J. Wright +6 more
wiley +1 more source
Abstract Accurately predicting solute transport remains a central challenge in hydrogeology due to limited data and multiscale subsurface heterogeneity. Fractional Brownian motion (fBm) is widely used to model the logarithm of hydraulic conductivity fields.
Binhao Li +2 more
wiley +1 more source
GIS-based soil bearing capacity zonation maps for the Dhaka metropolitan development plan (DMDP) area, Bangladesh. [PDF]
Rahman MS, Alajlan ZS, Ansary MA.
europepmc +1 more source
Evaluating Sentinel-2 gap filling techniques for cloud removal and data reconstruction. [PDF]
Grich S +5 more
europepmc +1 more source
Geostatistics for functional data: an ordinary kriging approach
We present a methodology to perform spatial prediction when measured data are curves. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor. We adapt an optimization criterium used in multi- variable spatial prediction in order to estimate the kriging parameters.
Giraldo, Ramón +2 more
openaire +1 more source
A neural network-based automatic semi-variogram modeling approach for geomagnetic map construction in multi-source indoor and outdoor navigation. [PDF]
Zhan C, Huang P, Xue B, Lan B.
europepmc +1 more source
A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms. [PDF]
Veloso GV +8 more
europepmc +1 more source
Spatial prediction of dog population distribution in Kenya. [PDF]
Das M +4 more
europepmc +1 more source

