Results 31 to 40 of about 126,533,408 (162)
The impact of diffusiophoresis on hydrodynamic dispersion and filtration in porous media
It is known that the dispersion of colloidal particles in porous media is determined by medium structure, pore-scale flow variability and diffusion. However, much less is known about how diffusiophoresis, that is, the motion of colloidal particles along ...
M. Jotkar +3 more
semanticscholar +1 more source
Sampling strategy, analytical methods, and main results of this study of dissolved and colloidal export during an irrigation experiment of basaltic hillslopes at the experimental facility of the Landscape Evolution Observatory. ABSTRACT This study investigates colloid transport under early weathering conditions using the Landscape Evolution Observatory
M. Gelin +5 more
wiley +1 more source
ABSTRACT Integrated fish–vegetable is a sustainable food production strategy that synergistically combines fish culture and vegetable cultivation within a single farming system. The objective of this study was to assess integrated Nile tilapia–onion (Bombay red variety) production in northwest Ethiopia, as both fish and onion are commonly practiced by ...
Negese Kebtieneh Demlie +4 more
wiley +1 more source
A Physics-Informed Neural Network Model for Reservoir Seepage in Porous Media Based on Darcy’s Law
Purely data-driven machine-learning methods are currently limited by weak physical interpretability; meanwhile, the sparsity of well-site data in oil and gas fields further degrades the prediction performance of deep learning models for reservoir seepage
Yun Zhang +3 more
semanticscholar +1 more source
Abstract Tidal influences are rarely considered in parameter estimation procedures for coastal groundwater flow models. Yet, considering tides adds to the already high computational burden associated with such models due to the presence of density‐dependent flow.
Patrick Haehnel +3 more
wiley +1 more source
Deep Learning-Based Prediction of Seepage Flow in Soil-Like Porous Media
: The rapid prediction of seepage mass flow in soil is essential for understanding fluid transport in porous media. This study proposes a new method for fast prediction of soil seepage mass flow by combining mesoscopic modeling with deep learning. Porous
Zhenzhen Shen +8 more
semanticscholar +1 more source
Abstract Accurate identification of nonaqueous phase liquid (NAPL) contamination sources is critical in pollution management. However, the joint inversion of source characteristics and heterogeneous hydrogeological parameters faces two major challenges.
Jiannan Luo +6 more
wiley +1 more source
Anaerobic biodegradation of benzene by sulphate‐reducing strain BzS1 was studied by combining genomics, differential proteomics and targeted metabolite analyses. Strain BzS1 has an exceptionally streamlined metabolism. A highly abundant heterotrimeric flavoprotein may add benzene to either enolpyruvate or glutaconyl‐CoA followed by channelling into the
Florin Musat +11 more
wiley +1 more source
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng +15 more
wiley +1 more source
Modelling Climate Change Effects on Groundwater Recharge and Temperature for a Pre‐Alpine Lysimeter
Climate change is projected to increase winter groundwater recharge and extreme precipitation events in pre‐alpine regions. Groundwater temperatures will rise by up to 26%, primarily driven by air temperature. These trends pose challenges for future water availability and quality, requiring adaptive water resource management.
Christian Moeck +7 more
wiley +1 more source

