Results 11 to 20 of about 23,915 (315)

Machine learning assists in increasing the time resolution of X-ray computed tomography applied to mineral precipitation in porous media

Scientific Reports, 2023
Many subsurface engineering technologies or natural processes cause porous medium properties, such as porosity or permeability, to evolve in time. Studying and understanding such processes on the pore scale is strongly aided by visualizing the details of
Dongwon Lee, Felix Weinhardt, Johannes Hommel, Joseph Piotrowski, Holger Class, Holger Steeb   +5 more
doaj   +1 more source

Is Precipitation Responsible for the Most Hydrological Model Uncertainty?

Frontiers in Water, 2022
Rainfall-runoff modeling is highly uncertain for a number of different reasons. Hydrological processes are quite complex, and their simplifications in the models lead to inaccuracies.
András Bárdossy, András Bárdossy, Chris Kilsby, Stephen Birkinshaw, Ning Wang, Faizan Anwar   +5 more
doaj   +1 more source

Modelling of Hydraulic Dynamics in Sludge Treatment Reed Beds with Moving Boundary Condition [PDF]

MATEC Web of Conferences, 2023
The conventional method of simulation using fixed mesh method (FMM) of discretization is a well-known and trusted procedure in modelling hydraulic dynamics. However, new ideas of innovation in modelling should be advanced.
Huong Yu Zhe, Tan Yee Yong, Tang Fu Ee, Agus Saptoro   +3 more
doaj   +1 more source

Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem

Water Resources Research, 2023
Bayesian model selection (BMS) and Bayesian model justifiability analysis (BMJ) provide a statistically rigorous framework for comparing competing models through the use of Bayesian model evidence (BME).
Maria Fernanda Morales Oreamuno, Sergey Oladyshkin, Wolfgang Nowak   +2 more
doaj   +1 more source

Beam model for hydraulic fracturing [PDF]

Physical Review B, 1994
We investigate numerically the shape of cracks obtained in hydraulic fracturing at constant pressure using a square-lattice beam model with disorder. We consider the case in which only beams under tension can break, and discuss the conditions under which the resulting cracks may develop fractal patterns.
Tzschichholz F., Herrmann H. J., Roman H. E., Pfuff M.   +3 more
openaire   +3 more sources

Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity [PDF]

, 2009
Data of soil hydraulic properties forms often a limiting factor in unsaturated zone modelling, especially at the larger scales. Investigations for the hydraulic characterization of soils are time-consuming and costly, and the accuracy of the results ...
Facchi, A., B. Ortuani, Van Dam J. C., Gandolfi, C., C. Gandolfi, Gandolfi C., Horeschi, D., G. Baroni, D. Horeschi, J. C. van Dam, Baroni G., Dam, J.C., van, A. Facchi, Ortuani, B., Baroni, G., Facchi A., Ortuani B., van Dam, J.C., Horeschi D.   +18 more
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Numerical modelling of air entrainment: In hydraulic engineering [PDF]

, 2021
Air entrainment in water flows is a natural phenomenon prone to take place when energy is dissipated in flowing water. In nature, air entrainment appears as white water in waterfalls or in waves breaking on the beach.
Almeland, Silje Kreken
core   +1 more source

PHOTOSED—PHOTOgrammetric Sediment Erosion Detection

Geosciences, 2018
This work presents a novel high-resolution photogrammetric measuring technique (PHOTOSED) to study in detail the erosion behavior of cohesive sediments, or cohesive/non-cohesive sediment mixtures.
Markus Noack, Gerhard Schmid, Felix Beckers, Stefan Haun, Silke Wieprecht   +4 more
doaj   +1 more source

Bayesian³ Active Learning for the Gaussian Process Emulator Using Information Theory

Entropy, 2020
Gaussian process emulators (GPE) are a machine learning approach that replicates computational demanding models using training runs of that model. Constructing such a surrogate is very challenging and, in the context of Bayesian inference, the training ...
Sergey Oladyshkin, Farid Mohammadi, Ilja Kroeker, Wolfgang Nowak   +3 more
doaj   +1 more source

Fuzzy-logic indicators for riverbed de-clogging suggest ecological benefits of large wood

Ecological Indicators, 2023
Rivers provide dynamic habitats with ecological niches, particularly in their mobile sand, gravel, and cobble riverbed patches that create an active hyporheic zone.
Sebastian Schwindt, Beatriz Negreiros, Maria Ponce, Isabella Schalko, Simone Lassar, Ricardo Barros, Stefan Haun   +6 more
doaj   +1 more source