| Coupled hydrogeophysical inversion to identify non-Gaussian hydraulic conductivity field by jointly assimilating geochemical and time-lapse geophysical data X Kang, X Shi, A Revil, Z Cao, L Li, T Lan, J Wu Journal of Hydrology 578, 124092, 2019 | 28 | 2019 |
| Coupled hydrogeophysical inversion of DNAPL source zone architecture and permeability field in a 3D heterogeneous sandbox by assimilation time-lapse cross-borehole electrical … X Kang, X Shi, Y Deng, A Revil, H Xu, J Wu Journal of Hydrology 567, 149-164, 2018 | 26 | 2018 |
| Improved characterization of DNAPL source zones via sequential hydrogeophysical inversion of hydraulic‐head, self‐potential and partitioning tracer data X Kang, A Kokkinaki, PK Kitanidis, X Shi, A Revil, J Lee, A Soueid Ahmed, ... Water Resources Research 56 (8), e2020WR027627, 2020 | 23 | 2020 |
| Hydrogeophysical characterization of nonstationary DNAPL source zones by integrating a convolutional variational autoencoder and ensemble smoother X Kang, A Kokkinaki, PK Kitanidis, X Shi, J Lee, S Mo, J Wu Water Resources Research 57 (2), e2020WR028538, 2021 | 22 | 2021 |
| Integrating deep learning-based data assimilation and hydrogeophysical data for improved monitoring of DNAPL source zones during remediation X Kang, A Kokkinaki, C Power, PK Kitanidis, X Shi, L Duan, T Liu, J Wu Journal of Hydrology 601, 126655, 2021 | 11 | 2021 |
| Optimized arrays for electrical resistivity tomography survey using Bayesian experimental design S Qiang, X Shi, X Kang, A Revil Geophysics 87 (4), E189-E203, 2022 | 5 | 2022 |
| Integration of Deep Learning‐Based Inversion and Upscaled Mass‐Transfer Model for DNAPL Mass‐Discharge Estimation and Uncertainty Assessment X Kang, A Kokkinaki, X Shi, H Yoon, J Lee, PK Kitanidis, J Wu Water Resources Research 58 (10), e2022WR033277, 2022 | 4 | 2022 |
| Characterization of the non-Gaussian hydraulic conductivity field via deep learning-based inversion of hydraulic-head and self-potential data Z Han, X Kang, J Wu, X Shi Journal of Hydrology 610, 127830, 2022 | 4 | 2022 |
| Integrating hydraulic tomography, electrical resistivity tomography, and partitioning interwell tracer test datasets to improve identification of pool-dominated DNAPL source … Q Guo, X Shi, X Kang, Y Chang, P Wang, J Wu Journal of Contaminant Hydrology 241, 103809, 2021 | 4 | 2021 |
| Assimilation of hydrogeophysical data for the characterization of subsurface heterogeneity using Ensemble Kalman Filter (EnKF) K Xueyuan, SHI Xiaoqing, D Yaping, L Kaihua, WU Jichun 水科学进展 29 (1), 40-49, 2018 | 4 | 2018 |
| Deep learning based optimization under uncertainty for surfactant-enhanced DNAPL remediation in highly heterogeneous aquifers J Du, X Shi, S Mo, X Kang, J Wu Journal of Hydrology 608, 127639, 2022 | 3 | 2022 |
| Evaluation of the benefits of improved permeability estimation on high-resolution characterization of DNAPL distribution in aquifers with low-permeability lenses Q Guo, X Shi, X Kang, S Hao, L Liu, J Wu Journal of Hydrology 603, 126955, 2021 | 3 | 2021 |
| Residual NAPL morphology effects on electrical resistivity: insights from micromodel displacement experiments and pore network simulations S Qiang, X Shi, A Revil, X Kang, Y Liu, J Wu Water Resources Research 58 (12), e2022WR033233, 2022 | 1 | 2022 |
| Monitoring in situ microbial growth and decay in soil column experiments by induced polarization Y Song, X Shi, A Revil, X Kang Geophysical Research Letters 49 (16), e2021GL097553, 2022 | 1 | 2022 |
| Characterization of DNAPL source zones in clay-sand media via joint inversion of DC resistivity, induced polarization and borehole data X Kang, C Power, A Kokkinaki, A Revil, J Wu, X Shi, Y Deng Journal of Contaminant Hydrology, 104240, 2023 | | 2023 |
| Comparison of geostatistical and deep-learning inversion methods for DNAPL source zone architecture characterization X Shi, A Kokkinaki, X Kang, S Hao, X Gong, Y Zhang, J Wu Hydrogeology Journal, 1-15, 2023 | | 2023 |
| Real-time Monitoring of In Situ Chemical Oxidation of Aqueous-phase TCE Using Time-lapse Electrical Resistivity Tomography and Reactive Transport Modeling Z Han, X Kang, J Wu, X Shi AGU Fall Meeting Abstracts 2022, NS31A-04, 2022 | | 2022 |
| Improved monitoring of dense non-aqueous phase liquid (DNAPL) source zone remediation through hydrogeophysical inversion using variational autoencoder and Ensemble Kalman filter X Kang, A Kokkinaki, C Power, X Shi, PK Kitanidis, JH Lee, J Wu AGU Fall Meeting Abstracts 2020, H052-10, 2020 | | 2020 |
| Integration of Geophysical and Partitioning Interwell Tracer Datasets for improved Identification of Pool-dominant DNAPL Source Zones Q Guo, X Shi, X Kang, J Wu AGU Fall Meeting Abstracts 2019, H23I-1994, 2019 | | 2019 |
| Improved DNAPL source zone architecture characterization with the use of self-potential signals and hydraulic/partitioning tracer tomography X Kang, X Shi, A Kokkinaki, A Revil, A Soueid Ahmed, J Wu AGU Fall Meeting Abstracts 2019, H11D-01, 2019 | | 2019 |
Xiaoqing Shi（施小清）Professor of Hydrogeology, Nanjing UniversityVerified email at nju.edu.cn
