Results 161 to 170 of about 1,275 (262)

Flood‐Scale Bedload Transport Dynamics From Acoustic Monitoring Compared With 2D Hydro‐Sedimentary Modeling

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Accurate estimation of bedload fluxes is critical to understanding sediment transport processes and associated channel evolution in gravel‐bed rivers, however, traditional direct measurements using samplers are time‐consuming and complex. To overcome these limitations, new indirect methods have been developed to estimate fluxes from bedload ...
G. Piasny, P.‐A. Garambois, T. Geay, S. Zanker, L. Schmitt   +4 more
wiley   +1 more source

Yaw Control Strategies Through Flow Structuring in Carangid C-Type Maneuvers. [PDF]

Biomimetics (Basel)
Liu Y, Li F, Gao T, Qian S, Zheng X, Yu Y.   +5 more
europepmc   +1 more source

The Unsteady Aerodynamics Module For FAST8 [PDF]

, 2019
Rick R. Damiani, Gregory Hayman
openaire   +1 more source

Spatial Variability and Drivers of Salt Marsh Cliff Erosion in the Dutch Wadden Sea: From Observation to Simulation

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Lateral erosion of salt marshes via cliff retreat is a primary cause of global marsh loss, driven by interactions between hydrodynamics, sediment, and vegetation. While previous studies show a linear relationship between wave power and cliff retreat, models based on this relationship are largely unvalidated for short‐term (sub‐yearly) and ...
S. Dzimballa, V. Kitsikoudis, P. W. J. M. Willemsen, E. O. Folmer, B. W. Borsje, I. Y. Georgiou, M. C. Bregman, D. C. M. Augustijn   +7 more
wiley   +1 more source

Kinematics and aerodynamics of in-flight drinking in bats. [PDF]

J R Soc Interface
Maitra A, Kim SJ, Sayani N, Hooshanginejad A, Müller R, Wang ZJ, Jung S.   +6 more
europepmc   +1 more source

Basal Force Probability Distributions in Thin‐Layer Granular Flows

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Extreme geophysical flows, such as granular and debris flows, can significantly shape the landscape in steep lands and generate seismic signals that can be recorded over long distances. However, direct field measurements needed to constrain the granular physics remain difficult due to the damage potential of those flows.
Jun Fang, Hui Tang, Yifei Cui, Jens M. Turowski, Lu Jing, Clarence Edward Choi   +5 more
wiley   +1 more source

A novel comprehensible non-intrusive sensitivity-driven additive Aerodynamic Shape Optimization (AASO) and its implementation using the Lattice Boltzmann Method (AASO-LBM). [PDF]

Sci Rep
Granados-Ortiz FJ.
europepmc   +1 more source

Applying Transfer Learning for Street‐Scale Nuisance Flood Forecasting in Coastal‐Urban Environments

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract An important challenge with Machine Learning (ML) is its transferability; that is, whether an ML model trained on one set of data can be applied to a second set of data without requiring full retraining of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained ...
Binata Roy, Jonathan L. Goodall, Diana McSpadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram   +6 more
wiley   +1 more source

Feather aerodynamics suggest importance of lift and flow predictability over drag minimization. [PDF]

Sci Rep
Alenius F, Revstedt J, Johansson LC.
europepmc   +1 more source

Impacts of Particle Density and Relative Submergence on the Sediment Entrainment Process: An Experimental Study Using a Smart Sediment Particle

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Quantifying the hydrodynamic forcing associated with sediment entrainment at the threshold of motion remains a fundamental challenge because bed–particle contact reactions are rarely measured concurrently. We conducted controlled flume experiments using a freely moving Smart Sediment Particle equipped with an inertial measurement unit (IMU) to
Xin Lu, Bruce W. Melville, Asaad Y. Shamseldin, Lu Wang, Yifan Yang, Yushu Xie   +5 more
wiley   +1 more source