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Ziv Moreno
Ziv Moreno
Dept Environ. Physics and Irrigation, Inst. of Soil, Water and Environ. Sci., ARO, Israel
Email verificata su volcani.agri.gov.il
Titolo
Citata da
Citata da
Anno
Hydro-geophysical monitoring of orchard root zone dynamics in semi-arid region
Z Moreno, A Arnon-Zur, A Furman
Irrigation Science 33, 303-318, 2015
362015
Impact of Sub‐core‐scale Heterogeneity on Meter‐Scale Flow and Brine Displacement in Drainage by CO2
Z Moreno, A Rabinovich
Water Resources Research 57 (1), e2020WR028332, 2021
262021
Mapping underground layers in the super arid Gidron Wadi using electrical resistivity tomography (ERT)
G Winters, I Ryvkin, T Rudkov, Z Moreno, A Furman
Journal of Arid Environments 121, 79-83, 2015
252015
Modeling water flow and solute transport in unsaturated soils using physics‐informed neural networks trained with geoelectrical data
P Haruzi, Z Moreno
Water Resources Research 59 (6), e2023WR034538, 2023
162023
Semi‐analytical modeling of rate‐dependent relative permeability in heterogeneous formations
Z Moreno, E Anto‐Darkwah, A Rabinovich
Water Resources Research 57 (4), e2021WR029710, 2021
152021
Prediction of pollutant remediation in a heterogeneous aquifer in Israel: Reducing uncertainty by incorporating lithological, head and concentration data
Z Moreno, A Paster
Journal of Hydrology 564, 651-666, 2018
132018
Evaluating numerical simulation errors of CO2-brine flow with capillary heterogeneity using a 1D semi-analytical solution
Z Moreno, A Rabinovich
International Journal of Greenhouse Gas Control 110, 103416, 2021
112021
Prediction of remediation of a heterogeneous aquifer: A case study
Z Moreno, A Paster
Groundwater 55 (3), 428-439, 2017
72017
Physics-informed neural networks for modeling two-phase steady state flow with capillary heterogeneity at varying flow conditions
A Chakraborty, A Rabinovich, Z Moreno
Advances in Water Resources 185, 104639, 2024
52024
A wetting‐front model for vadose zone infiltration via drywells
Z Moreno, A Paster, T Kamai
Water Resources Research 59 (1), e2022WR033554, 2023
52023
Fine-scale heterogeneous structure impact on the scale-dependency of the effective hydro-electrical relations of unsaturated soils
Z Moreno
Advances in Water Resources 162, 104156, 2022
52022
A genetic algorithm for stochastic inversion in contaminant subsurface hydrology
Z Moreno, A Paster
Groundwater 57 (5), 704-717, 2019
32019
Sub-core permeability estimation from coreflooding experiments: Numerical analysis for evaluating accuracy and improving methods
Y Wei, Z Moreno, A Rabinovich
Advances in Water Resources 193, 104817, 2024
12024
Physics‐informed neural networks trained with time‐lapse geo‐electrical tomograms to estimate water saturation, permeability and petrophysical relations at heterogeneous soils
C Sakar, N Schwartz, Z Moreno
Water Resources Research 60 (8), e2024WR037672, 2024
12024
A data-driven physics-informed deep learning approach for estimating sub-core permeability from coreflooding saturation measurements
A Chakraborty, A Rabinovich, Z Moreno
Advances in Water Resources, 104919, 2025
2025
Drywell infiltration performance: Tests, monitoring, simple, and detailed models
L Netzer, D Russo, U Nachshon, Z Moreno, M Ben‐Hur, R Katzir, ...
Water Resources Research 61 (2), e2024WR037524, 2025
2025
A physics based deep learning approach for estimating sub-core permeability structures from two-phase flow coreflooding experiments
Z Moreno, A Chakraborty, A Rabinovich
AGU24, 2024
2024
Upscaling Permeability, Petrophysical Relations and Water Saturation Maps of Heterogeneous Soils Using Physics-Informed Neural Networks Trained with Time-lapse Geo-electrical …
C Sakar, N Schwartz, Z Moreno
EGU General Assembly Conference Abstracts, 6719, 2024
2024
Simulating two-phase flow using Physics-informed neural networks with capillary heterogeneity and hydraulic discontinuities
A Chakraborty, Z Moreno
EGU General Assembly Conference Abstracts, 3458, 2024
2024
Simulating water flow and solute transport at unsaturated soils with unknown initial conditions using physics-informed neural networks trained with time-lapse geoelectrical …
Z Moreno, P Haruzi
EGU General Assembly Conference Abstracts, EGU-956, 2023
2023
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