Results 131 to 140 of about 1,440 (281)
Abstract Riverine dissolved silicon (DSi) dynamics reflect integrated geologic, hydrologic, climatic, and ecological controls. We compiled annual DSi data for 337 rivers across four continents and trained interpretable machine‐learning models to predict concentrations and yields from 28 watershed variables.
Sidney A. Bush +6 more
wiley +1 more source
Applications of machine learning algorithms in lithological mapping of Saint Katherine Neoproterozoic rocks in the South Sinai of Egypt using hyperspectral PRISMA data. [PDF]
Ali-Bik MW +4 more
europepmc +1 more source
Diapirs of crystal-rich slurry explain granite emplacement temperature and duration. [PDF]
Copley A, Weller O, Bain H.
europepmc +1 more source
Permeability Enhancement by Slow Faulting Under High Pore Fluid Pressure
Abstract The morphology of fault zones formed by slow faulting is markedly different from that of brittle faulting. In this study, we quantify the three‐dimensional (3D) pore distribution and permeability structures of two rock samples that have been deformed to failure by slow and brittle faulting, respectively.
Tommaso Mandolini +3 more
wiley +1 more source
Provenance and tectonic settings of late Triassic-Jurassic deposits in the Southwestern Yangtze block: evidence from the geochemistry, SW China. [PDF]
Yao S +7 more
europepmc +1 more source
Abstract The Sagaing Fault (SF) accommodates major plate motion in Myanmar, yet large earthquakes along it have rarely been captured by modern geodetic and seismic observations. The 2025 Sagaing earthquake generated an exceptionally long rupture (∼535 km), offering a rare opportunity to investigate rupture dynamics along continental transform fault. We
Zhenjiang Liu +8 more
wiley +1 more source
Melt reactions and timescales of melting in pelitic rocks-a case study from the Garhwal Himalaya. [PDF]
Oldman CJ +8 more
europepmc +1 more source
Abstract Subsurface heterogeneity influences watershed hydrology strongly but remains difficult to characterize at catchment scales with sparse and costly field data. Geophysical surveys such as electromagnetic induction (EMI) provide local spatial subsurface images yet scaling them to watershed scales and converting EMI‐derived resistivity into ...
Hang Chen +4 more
wiley +1 more source

