Results 61 to 70 of about 2,881 (187)
iS‐GNN: Interpolation of Crustal Stress Maps Using a Graph Neural Network Model
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Estimating the orientation of the maximum horizontal stress (SHmax) from sparse and unevenly distributed geophysical observations remains a persistent challenge in tectonic and geomechanical stress studies. Classical interpolation methods often neglect the multiscale tectonic–geological heterogeneity of the crust, leading to biased estimates ...
Kwame A. Gyamfi, Michele M. C. Carafa
wiley +1 more source
Spanish Journal of Agricultural Research, 2014 Knowledge of infiltration characteristics is useful in hydrological studies of agricultural soils. Soil hydraulic parameters such as steady infiltration rate, sorptivity, and transmissivity can exhibit appreciable spatial variability. The main objectives
Fereshte Haghighi Fashi +2 more
doaj +1 more source
Water Resources Research, Volume 62, Issue 8, August 2026.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
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Известия высших учебных заведений: Геология и разведка, 2015 To estimate the content of Al2O3 in the block exploring a bauxite depositsite of Sangaredi in the Republic of Guinea (West Africa), one of geostatistics methods, discrete kriging, was applied.
I. A. Maraev
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Geological Inverse Problem‐Solving Method Based on Diffusion Models
Water Resources Research, Volume 62, Issue 8, August 2026.Abstract Traditional geological parameter inversion methods often require repeated forward simulations for history matching, leading to high computational cost and limited inversion efficiency. Their performance may also be restricted when geological fields exhibit strong non‐Gaussian characteristics. To address these challenges, this study proposes an
Kai Zhang +8 more
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Water Resources Research, Volume 62, Issue 8, August 2026.Abstract Airborne electromagnetic (AEM) surveys offer rapid, cost‐effective subsurface imaging, yet converting their electrical resistivity (ER) models into physically meaningful hydraulic property fields for groundwater models remains a challenge. We develop and demonstrate a data‐driven workflow for an unconsolidated sedimentary aquifer system in ...
Leland Scantlebury, Thomas Harter
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Persian Journal of Acarology, 2017 In this study, the statistical methods and artificial neural network (ANN) were used to estimate the spatial distribution of Tetranychus urticae in cucumber field of Behbahan, Iran.
Alireza Shabaninejad +2 more
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Vertical Hydraulic Gradients as Key Calibration Constraints in Regional Groundwater Models
Water Resources Research, Volume 62, Issue 8, August 2026.Abstract In typical clastic sedimentary aquifer systems, interbedded coarse‐ and fine‐grained deposits impede vertical flow and promote horizontal flow. This effect, known as vertical anisotropy, is often underestimated in regional groundwater models, leading to overestimated vertical aquifer communication.
Yara M. Pasner +3 more
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Modeling of zonal anisotropic variograms
Lietuvos Matematikos Rinkinys, 2005 Most standard methods of geostatistical analysis are built upon the basic assumption of isotropy. However, spatial data in most cases are not isotropic. In practice typically we find data with zonal anisotropy.
Lina Budrikaitė
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Inferring alternative ecosystem states with field survey data
Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2256-2276, August 2026.Abstract Many ecosystems potentially exhibit alternative stable states, where distinct states can coexist under identical environmental conditions. While simulation models have generated key hypotheses in alternative stable states theory, they often rely on scale‐free parameters disconnected from real ecosystems.
Ning Chen +10 more
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