Soil Crack Width Controls Preferential Flow Velocity Through Drag Partitioning
Abstract Preferential flow within soil cracks influences land surface hydrological processes, yet direct quantifying preferential flow velocity (PFV) remains challenging. Here, we develop a method for high‐resolution monitoring and quantifying PFV in soil cracks using optical frequency domain reflectometry (OFDR).
Chang Sun +5 more
wiley +1 more source
Author Correction: A constrained machine learning surrogate model to predict the distribution of water-in-oil emulsions in electrostatic fields. [PDF]
Kooti G +3 more
europepmc +1 more source
Integrated VES, ERI, and MASW surveys, constrained by boreholes, delineate a central low‐resistivity/low‐V s weak corridor and more competent volcanic strata at depth. The eastern sector offers preferable foundation conditions, while identified weak zones require ground improvement or deep foundations to mitigate differential‐settlement risk.
Alemayehu Ayele +2 more
wiley +1 more source
Ground settlement induced by NATM tunneling and surface loads in Shiraz metro station. [PDF]
Khan A, Fang Y, Khan S, Ali B, Jiang Y.
europepmc +1 more source
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra +4 more
wiley +1 more source
Improvements to Load-Bearing Capacity and Settlement of Clay Soil After Adding Nano-MgO and Fibers. [PDF]
Bağrıaçık B +2 more
europepmc +1 more source
Long term accumulation of deformation in granular soils under multi-axial cyclic loading: accumulation de déformation à long terme dans les sols granulaires sous chargement cyclique multi-axiale [PDF]
Degrande, Geert +3 more
core +1 more source
Biological and geomorphic effects have been treated independently in fluvial geomorphology. Flume experiments with burrowing crayfish show that interactions between these drivers do more geomorphic work than the sum of their maximum independent parts combined, meaning total biogeomorphic effects to rivers are likely underestimated.
Catherine H. Sanders +2 more
wiley +1 more source
Digital twin-based machine learning framework for predicting nonlinear seismic response of reinforced concrete shear walls using analytical data. [PDF]
Kuria KK, Kegyes-Brassai O.
europepmc +1 more source

