Results 131 to 140 of about 1,440 (281)

Thinking Outside the Rocks: Subsurface Water Storage, Topography, and Land Cover Are Key Modulators of Large‐Scale Riverine Dissolved Silicon Dynamics

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
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

Permeability Enhancement by Slow Faulting Under High Pore Fluid Pressure

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
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

Supershear Transitions and Bilateral Asymmetric Rupture of the 2025 Sagaing (Myanmar) Earthquake Revealed by Geodetic and Seismic Observations

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
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]

open access: yesContrib Mineral Petrol
Oldman CJ   +8 more
europepmc   +1 more source

A ModEx Framework for Watershed Subsurface Investigation With Limited Geophysical Data Using Machine Learning and Hydrologic Modeling

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
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

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