A Bayesian mixing model framework for quantifying temporal variation in source of sediment to lakes across broad hydrological gradients of floodplains
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Subchannel analysis of thermal-hydraulic performance in rod bundle with spacer grid considering anisotropic turbulent mixing
Sign Up to like & getrecommendations! 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
Nitrate contamination and source apportionment in surface and groundwater in Ghana using dual isotopes (15N and 18O-NO3) and a Bayesian isotope mixing model.
Sign Up to like & getrecommendations! 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
Tracking nitrate sources in agricultural-urban watershed using dual stable isotope and Bayesian mixing model approach: Considering N transformation by Lagrangian sampling.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Hinging Hyperplanes Crude Oil Mixing Model for Production Planning Optimization
Sign Up to like & getrecommendations! 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
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2693366
Abstract: In the community of remote sensing, nonlinear mixture models have recently received particular attention in hyperspectral image processing. In this paper, we present a novel nonlinear spectral unmixing method following the recent multilinear mixing model… read more here.
Keywords: mixing model; spectral unmixing; multilinear mixing; nonlinear spectral ... See more keywords
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2878958
Abstract: Hyperspectral imagery collected from airborne or satellite sources inevitably suffers from spectral variability, making it difficult for spectral unmixing to accurately estimate abundance maps. The classical unmixing model, the linear mixing model (LMM), generally fails… read more here.
Keywords: spectral variability; linear mixing; address spectral; variability ... See more keywords