Amalia Kokkinaki

Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology

Hojat Ghorbanidehno, Amalia Kokkinaki, Jonghyun Lee et al. · Journal of Hydrology · 2020 · 74 citations

Hydrological Science, Data Assimilation, Engineering +9

Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother

Xueyuan Kang, Amalia Kokkinaki, Peter K. Kitanidis et al. · Water Resources Research · 2021 · 60 citations

Engineering, Hydrogeophysics, Hydrogeophysical Characterization +19

Coupled simulation of DNAPL infiltration and dissolution in three-dimensional heterogeneous domains: Process model validation

Amalia Kokkinaki, Denis M. O’Carroll, Charles J. Werth et al. · Water Resources Research · 2013 · 42 citations

Engineering, Liquid-liquid Flow, Flow Cell +19

Integrating deep learning-based data assimilation and hydrogeophysical data for improved monitoring of DNAPL source zones during remediation

Xueyuan Kang, Amalia Kokkinaki, Christopher Power et al. · Journal of Hydrology · 2021 · 38 citations

Hydrogeology, Environmental Monitoring, Engineering +8

Improved Characterization of DNAPL Source Zones via Sequential Hydrogeophysical Inversion of Hydraulic‐Head, Self‐Potential and Partitioning Tracer Data

Xueyuan Kang, Amalia Kokkinaki, Peter K. Kitanidis et al. · Water Resources Research · 2020 · 35 citations

Sequential Hydrogeophysical Inversion, Dnapl Saturation Characterization, Engineering +17