Under review/Preparation:
Chen, H., Chou, C., Peruzzo , L., & Wu, Y. (2025). Improved integrated hydrologic modeling with Outdoor Mesoscale Fabricated Ecosystems. Geophysical Research Letters, (to be submitted).
Chen, H. & Niu, Q., (2025). Temporal hydrologic constraints on time-lapse electrical resistivity inversion. Geophysical Journal International (after revision)
Published (* is the Corresponding author)
2025
Chen, H.*, Chou, C., Peruzzo, L., Borglin, S., Chang, C., Kneafsey, T., Nakagawa, S., Birkholzer, J., Zheng, L., & Wu, Y. (2025). Development of an ERT-based framework for bentonite buffers monitoring from laboratory tests—Part I: Characterizing thermal-hydrological-mechanical processes. Journal of Geophysical Research: Solid Earth. 130, e2024JB030798. https://doi.org/10.1029/2024JB030798
Chen, H.*, Chou, C., Peruzzo, L., Borglin, S., Chang, C., Kneafsey, T., Nakagawa, S., Birkholzer, J., Zheng, L., & Wu, Y. (2025). Development of an ERT-based framework for bentonite buffers monitoring from laboratory tests—Part II: Quantitative moisture dynamics estimation model. Journal of Geophysical Research: Solid Earth. 130, e2024JB030799. https://doi.org/10.1029/2024JB030799
Xie, J., Cui, Y. A., Guo, R., Chen, H.*, Guo, Y., & Liu, J. (2025). A deep learning algorithm for locating contaminant plumes from self-potential: a laboratory perspective. IEEE Transactions on Geoscience and Remote Sensing.
2024
Chen, H.*, Wang, J., Luo, L., Otto, S., Davis, J., Kuhlman, K. L., & Wu, Y. (2024). Electrical resistivity changes during heating experiments unravel heterogeneous thermal-hydrological-mechanical processes in salt formations. Geophysical Research Letters, 51, e2024GL109836. https://doi.org/10.1029/ 2024GL109836
Chen, H., Ren, Z., Liu, J., Liu, Z., Guo, R., Wang, Y., & He, D. (2024). Improving deep groundwater aquifer characterization with deep learning inversion of audio-frequency magnetotelluric data. Journal of Hydrology, 131680.
Chen, H., Niu, Q., McNamara, J. P., & Flores, A. N.(2024).Influence of subsurface critical zone structure on hydrological partitioning in mountainous headwater catchments. Geophysical Research Letters, 51, e2023GL106964.
2023
Chen, H., Niu, Q., Mendieta, A., Bradford, J., & McNamara, J. (2023). Geophysics-informed hydrologic modeling of a mountain headwater catchment for studying hydrological partitioning in the critical zone. Water Resources Research, 59, e2023WR035280. https://doi. org/10.1029/2023WR035280
Guo, R., Tong, W., Liu, J., Wang, Y., Yin, Z. and Chen, H.*. Research of a new algorithm on denoising frequency domain magnetotelluric data based on morphological clustering[J]. Journal of Central South University(Science and Technology), 2023, 54(10): 3937-3948.
2022
Chen, H. and Niu, Q., 2022. Improving moisture content estimation from field resistivity measurements with subsurface structure information. Journal of Hydrology, p.128343.
Chen, H. Exploring subsurface hydrology with electrical resistivity tomography. Nat Rev Earth Environ (2022). https://doi.org/10.1038/s43017-022-00350-4
2021
Chen, H. and Niu, Q., 2021. Effects of material texture and packing density on the interfacial polarization of granular soils. Geophysics, 86(6), pp.1-58.
2020
Chen, H., Guo, R., Dong, H., Wang, Y. and Li, J., 2020. Comparison of stable maximum likelihood estimator with traditional robust estimator in magnetotelluric impedance estimation. Journal of Applied Geophysics, 177, p.104046.
Other selective collaborative papers
Wang, Y., Liu, J., Egbert, G., Guo, R., Li, J., Yang, G., ... & Chen, H. (2025). Multicolor-MG: An efficient parallel multigrid code based on multi-color block-wise Gauss Seidel smoothers for 3D natural source electromagnetic forward modeling. Geophysics, 90(4), 1-53.
Kuhlman, Kristopher L., Mills, Melissa Marie, Jayne, Richard Scott, Matteo, Edward N., Herrick, Courtney G., Choens, Robert Charles, Paul, Matthew J., Stauffer, Phiip H., Guiltinan, Eric, Rahn, Thom, Otto, Shawn, Davis, Jon, Eldridge, Daniel L., Rutqvist, Jonny, Wu, Yuxin, Hu, Mengsu, Chen, Hang, & Wang, Jiannan (2024). Brine Availability Test in Salt (BATS) FY24 Update. https://doi.org/10.2172/2462942
Wang, Y., Guo, R., Liu, J., Li, J., Liu, R., Chen, H., ... & Cao, C. (2024). A divergence-free vector finite-element method for efficient 3D magnetotelluric forward modeling. Geophysics, 89(1), E1-E11.
XIE, J., CUI, Y., CHEN, H., LUO, Y., GUO, Y., & LIU, J. (2023). 3D DC resistivity numerical modeling by natural-infinite element coupling method. Chinese Journal of Geophysics, 66(6), 2670-2684.
Wang, X., Liu, J., Li, J. and Chen, H., 2023. Fast 3D gravity and magnetic modeling using midpoint quadrature and 2D FFT. Scientific Reports, 13(1), p.9304.
Guo, R., Wang, Y., Egbert, G.D., Liu, J., Liu, R., Pan, K., Li, J. and Chen, H., 2022. An efficient multigrid solver based on a 4-color cell-block Gauss-Seidel smoother for 3D Magnetotelluric forward modeling. Geophysics, 87(3), pp.1-56.
Li, J., Liu, J., Guo, R., Liu, R., Wang, Y. and Chen, H., 2022. Extension of the regularization technique to controlled-source electromagnetic modeling in general anisotropic conductivity media. Geophysics, 87(4), pp.1-43.
WANG, Y., LIU, J., GUO, R., LIU, R., LI, J., CHEN, H. and YANG, G., 2022. Efficient three-dimensional magnetotelluric forward modeling based on a geometric multigrid preconditioner. Chinese Journal of Geophysics, (5), pp.1839-1852.