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Numerical investigation of flow instabilities using fully unstructured discretization for variably saturated flow problems 期刊论文
, 2020, 卷号: 143
作者:  Su D.;  Mayer K.U.;  MacQuarrie K.T.B.
收藏  |  浏览/下载：31/0  |  提交时间：2020/07/28
Anisotropy  Diffusion in liquids  Heat conduction  Wetting  Anisotropic conductivity  Control volume methods  Gradient reconstruction  Heterogeneous domains  Nonphysical oscillations  Numerical experiments  Numerical investigations  Variably saturated flow  Convergence of numerical methods  
Flow of shear-thinning fluids through porous media 期刊论文
, 2020, 卷号: 143
作者:  Airiau C.;  Bottaro A.
收藏  |  浏览/下载：22/0  |  提交时间：2020/07/28
Flow of fluids  Porous materials  Shear flow  Shear thinning  Effective permeability  Effective permeability tensor  Effective viscosity  Homogenization theory  Non-linear stress-strain  Pseudoplastic fluid  Rheological parameter  Shear thinning fluids  Stress-strain curves  Darcy law  permeability  porosity  porous medium  pressure gradient  rheology  shear flow  viscosity  
Equivalent and effective conductivities of heterogeneous aquifers for steady source flow, with illustration for hydraulic tomography 期刊论文
, 2020, 卷号: 142
作者:  Bellin A.;  Fiori A.;  Dagan G.
收藏  |  浏览/下载：117/0  |  提交时间：2020/07/28
Aquifers  Hydrogeology  Effective conductivity  Equivalent conductivity  Heterogeneous aquifers  Heterogeneous medium  Hydraulic tomographies  Natural gradient  Statistical moments  Structure modeling  Tomography  aquifer  computer simulation  flow field  heterogeneity  heterogeneous medium  hydraulic conductivity  hydraulic head  hydraulics  numerical model  steady flow  three-dimensional modeling  tomography  
Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms 期刊论文
, 2020, 卷号: 141
作者:  Rahman A.T.M.S.;  Hosono T.;  Quilty J.M.;  Das J.;  Basak A.
收藏  |  浏览/下载：23/0  |  提交时间：2020/07/28
Decision trees  Forecasting  Groundwater  Irrigation  Machine learning  Neural networks  Water quality  Water supply  Gradient boosting  Groundwater level forecasting  Irrigation scheduling  Key Issues  Land development  Land subsidence  Machine learning approaches  Real-world scenario  Wavelet transforms  forecasting method  groundwater  machine learning  transform  water level  water quality  wavelet analysis  Japan  Kumamoto  Kyushu