Articles with "mixing model" as a keyword



A Bayesian mixing model framework for quantifying temporal variation in source of sediment to lakes across broad hydrological gradients of floodplains

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Published in 2021 at "Limnology and Oceanography: Methods"

DOI: 10.1002/lom3.10443

Abstract: Paleolimnological reconstructions provide insights into hydrological variability of dynamic floodplain lakes. However, spatial and temporal integration of multiple reconstructions often remains underdeveloped because the efficacy of different paleolimnological measurements varies among lakes due to gradients… read more here.

Keywords: river; bayesian mixing; sediment; source ... See more keywords

Evaluate best-mixing model for estimating thermal conductivity for granitoids from mineralogy: A case study for the granitoids of the Bundelkhand craton, central India

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Published in 2018 at "Geothermics"

DOI: 10.1016/j.geothermics.2018.03.011

Abstract: Abstract Granitoid is an important part of the upper continental crust, and therefore its thermal conductivity (TC) plays an important role in understanding the lithospheric thermal structure in a region and for geotechnical or geoengineering… read more here.

Keywords: mixing model; best mixing; mineralogy; bundelkhand craton ... See more keywords
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Subchannel analysis of thermal-hydraulic performance in rod bundle with spacer grid considering anisotropic turbulent mixing

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Published in 2021 at "International Journal of Thermal Sciences"

DOI: 10.1016/j.ijthermalsci.2021.107039

Abstract: Abstract Combined with the relationship between the time averaged parameters of flow field and the inter-subchannel transverse turbulent mixing velocity, a method for solving the mixing velocity between adjacent subchannels is presented in this paper.… read more here.

Keywords: rod bundle; turbulent mixing; rod; spacer grid ... See more keywords
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Nitrate contamination and source apportionment in surface and groundwater in Ghana using dual isotopes (15N and 18O-NO3) and a Bayesian isotope mixing model.

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Published in 2020 at "Journal of contaminant hydrology"

DOI: 10.1016/j.jconhyd.2020.103658

Abstract: The rising food production to meet the growing human population has led to increased anthropogenic inputs of nutrients such as NO3- in groundwater and aquatic environments. Nitrate concentrations, hydrochemistry, and isotope data (δ18O-H2O, δ2H-H2O, 15N-NO3,… read more here.

Keywords: mixing model; isotope; source; 18o no3 ... See more keywords
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Tracking nitrate sources in agricultural-urban watershed using dual stable isotope and Bayesian mixing model approach: Considering N transformation by Lagrangian sampling.

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Published in 2021 at "Journal of environmental management"

DOI: 10.1016/j.jenvman.2021.113693

Abstract: A dual isotopes approach and the Bayesian isotope mixing model were applied to trace nitrogen pollution sources and to quantify their relative contribution to river water quality. We focused on two points to enhance the… read more here.

Keywords: mixing model; isotope; pollution; lagrangian sampling ... See more keywords

Methodology for determining coefficients of turbulent mixing model

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Published in 2020 at "Journal of Fluid Mechanics"

DOI: 10.1017/jfm.2020.726

Abstract: Abstract The accurate prediction of turbulent mixing induced by Rayleigh–Taylor (R–T), Richtmyer–Meshkov (R–M) and Kelvin–Helmholtz (K–H) instabilities is very important in understanding natural phenomena and improving engineering applications. In applications, the prediction of mixing with… read more here.

Keywords: mixing model; methodology; model coefficients; turbulent mixing ... See more keywords

Porous media gravity current flow over an interbed layer: the impact of dispersion and distributed drainage

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Published in 2024 at "Journal of Fluid Mechanics"

DOI: 10.1017/jfm.2024.203

Abstract: Abstract Motivated by buoyancy-driven flows within geological formations, we study the evolution of a (dense) gravity current in a porous medium bisected by a thin interbed layer. The gravity current experiences distributed drainage along this… read more here.

Keywords: interbed layer; gravity current; mixing model; gravity ... See more keywords

Hinging Hyperplanes Crude Oil Mixing Model for Production Planning Optimization

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Published in 2020 at "Industrial & Engineering Chemistry Research"

DOI: 10.1021/acs.iecr.0c00124

Abstract: Refinery feed, usually a mixture of several crude oils, is separated via crude distillation unit (CDU). Crude true boiling point (TBP) distillation curve determines the amount of products which can... read more here.

Keywords: mixing model; hyperplanes crude; model production; hinging hyperplanes ... See more keywords

Computation of Effective Dielectric Properties Using Dielectric Mixing Model Approach for Breast Cancer Detection

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Published in 2025 at "IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology"

DOI: 10.1109/jerm.2024.3433008

Abstract: Breast cancer imaging technology requires the artificial breast phantom for early-stage breast cancer testing. The creation of a breast phantom that can replicate the dielectric properties found in real breast tissue holds significant importance in… read more here.

Keywords: breast cancer; breast; mixing model; dielectric mixing ... See more keywords

Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model

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Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2958203

Abstract: In hyperspectral imaging, spectral unmixing aims at decomposing the image into a set of reference spectral signatures corresponding to the materials present in the observed scene and their relative proportions in every pixel. While a… read more here.

Keywords: spectral unmixing; hapke model; linear mixing; model ... See more keywords

Linear Spectral Mixing Model-Guided Artificial Bee Colony Method for Endmember Generation

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Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2961502

Abstract: Endmember extraction (EE) is one important step in hyperspectral unmixing. However, some EE methods under pure-pixel assumption may work badly for highly mixed data due to the complexity of image data. In this work, we… read more here.

Keywords: linear spectral; spectral mixing; method; model guided ... See more keywords