Zhi Li
This is the research website of Zhi Li. I develop high-performance numerical models to study environmental fluid mechanics, hydrology and multiphase flow in porous media. The core of my research is to combine innovative numerical algorithms and advanced computing technologies, aiming at understanding complex fluid processes in the environment and developing mature tools for solving practical large-scale engineering problems. With this aim, my research is inevitably interdisciplinary, involving fluid mechanics, hydrology, hydrogeology, numerical methods and high-performance computing
(This site is still under construction...)
Research
Overview
Salinity Evolution in Coastal Wetlands
I develop numerical models to simulate surface flow, surface-subsurface exchange and scalar transport in coastal wetlands. The focus is on (1) representing small-scale environmental processes in corase-grid models and (2) optimizing model coupling to enable fast 3D, field-scale simulation.
A subgrid topography model is designed to parametrize small-scale topographic features on much coarser grid cells. This method allows hydrodynamic simulation on efficient coarse grids without losing the small-scale flow-topography interactions. It is useful for shallow wetland simulations where water flow is strongly affected by the complex topography.
For more info:
10.1016/j.advwatres.2019.05.004
10.1016/j.advwatres.2019.103465
A coupled 2D surface flow and 3D variably saturated subsurface flow model (Frehg) is developed. The purpose of developing Frehg is to model salintiy evolution in shallow wetlands that is affected by tidal intrusion, evaporation, surface-subsurface exchange, and the complex 3D topography. The codes of Frehg can be found on my Github repo.
For more info:
Multi-phase Flow in Fractured Shale Reservoirs
I develop numerical models to simulate multi-phase flow in porous media. Specifically, I focus on simulating water, gas and oil production from shale reservoirs, representing the multi-scale fracture system in the multi-phase flow model to achieve reasonable estimation of reservoir production.
One challenge in shale reservoir simulation (and perhaps any flow simulation of underground reservoirs) is to model the multi-scale fracture network. Our approach is to model the primary hydraulic fractures using a geomechanics model (GEOS), and represent the secondary fractures as non-uniform dual-permeability elements. We found that the spatial heterogeneity of the fracture aperture is critical in matching the production data for shale reservoirs.
For more info:
Parallel Solvers for the Richards Equation
I develop parallel numerical solvers to solve the Richards equation, which is a key component of catchment-scale hydrological models. Common numerical schemes for the Richards equation are mostly iterative (e.g., the Picard scheme and the Newton-Raphson scheme). However, it remains a question if these schemes scale well on multi CPUs or GPUs. An alternative is the non-iterative predictor-corrector scheme, which is robust, but suffers from a small dt. The attached figure shows that as dt increases, more linear solver iterations are required, indicating that we cannot simply use dt to evaluate the efficiency of a scheme. The non-iterative scheme might outperform the iterative schemes when parallelized, if the non-iterative scheme requires fewer linear solver iterations. We are still testing if this is the case...
For more info:
10.1016/j.jhydrol.2020.125809 https://doi.org/10.1016/j.envsoft.2023.105900
Urban Floods and Resillient Cities
I develop numerical models to simulate urban floods. I focus on multi-hazard scenarios such as flooding over previously damaged areas (e.g., by earthquake), as well as on the underground infrastructures (e.g., urban metro stations). These scenarios are rarely studied, but they are closely related to city resillience. I use SERGHEI model for process-based urban flood simulation. SERGHEI is a parallel model that uses GPUs to perform high-resolution hydrodynamic simulations. This work is still on going and more results should be expected in the future.
For more info:
Publications
[19] Z Li, D Caviedes-Voullieme, I Ozgen-Xian, S Jiang, N Zheng, A comparison of numerical schemes for the GPU-accelerated simulation of variably-saturated groundwater flow. Environmental Modelling & Software (2024), 171, 105900
https://doi.org/10.1016/j.envsoft.2023.105900
[18] C Wu, S Jiang, X Xia, Y Sun, Z Li, M Ju, S Li and S Liu, Estimation of pollution sources and hydraulic conductivity field in a coastal aquifer under tidal effects. Marine Georesources & Geotechnology (2024)
https://doi.org/10.1080/1064119X.2023.2280636
[17] S Li, C Dai, Y Duan, Z Li, et al, Non-radical pathways in peracetic acid-based micropollutant degradation: A comprehensive review of mechanisms, detection methods, and promising applications. Separation and Purification Technology (2024), 330, 125240
https://doi.org/10.1016/j.seppur.2023.125240
[16] Z Li, MT Reagan, GJ Moridis, History-matching shale reservoir production with a multi-scale, non-uniform fracture network. Gas Science and Engineering (2023), 115, 205019
https://doi.org/10.1016/j.jgsce.2023.205019
[15] Y Han, C Dai, J Li, Z Li, X You, R Fu, Y Zhang, L Zhou, Kill two birds with one stone: Solubilizing PAHs and activating PMS by photoresponsive surfactants for the cycle remediation of contaminated groundwater. Separation and Purification Technology (2023), 320, 124242
https://doi.org/10.1016/j.seppur.2023.124242
[14] N Zheng, S Jiang, X Xia, W Kong, Z Li, et al, Efficient estimation of groundwater contaminant source and hydraulic conductivity by an ILUES framework combining GAN and CNN, Journal of Hydrology (2023), 621, 129677
https://doi.org/10.1016/j.jhydrol.2023.129677
[13] C Dai, X You, Q Liu, Y Han, Y Duan, J Hu, J Li, Z Li, et al, Peroxymonosulfate activation by Ru/CeO2 for degradation of Triclosan: Efficacy, mechanisms and applicability in groundwater. Chemical Engineering Journal (2023), 463, 142479
https://doi.org/10.1016/j.cej.2023.142479
[12] X Shen, S Li, H Cai, Z Li , N Cui, Distribution and interaction characteristics of water quality at the stratified confluence reservoirs. Journal of Hydrology (2023), 620, 129464
https://doi.org/10.1016/j.jhydrol.2023.129464
[11] Z Li, BR Hodges, X Shen, Modeling hypersalinity caused by evaporation and surface-subsurface exchange in a coastal marsh. Journal of Hydrology (2023), 618, 129268
https://doi.org/10.1016/j.jhydrol.2023.129268
[10] W Tong, C Dai, J Hu, J Li, M Gao, Z Li , L Zhou, Y Zhang, L Kahon, Solubilization and remediation of polycyclic aromatic hydrocarbons in groundwater by cationic surfactants coupled nanobubbles: Synergistic mechanism and application. Journal of Molecular Liquids (2023), 373, 121242
https://doi.org/10.1016/j.molliq.2023.121242
[9] L Stolze, B Arora, D Dwivedi, C Steefel, Z Li, S Carrero, B Gilbert, P Nico, M Bill, Aerobic respiration controls on shale weathering. Geochimica et Cosmochimica Acta (2023), 340, 172-188
https://doi.org/10.1016/j.gca.2022.11.002
[8] Z Li, CS Sherman, MT Reagan, GJ Moridis, JP Morris, Effects of heterogeneous fracture aperture on multiphase production from shale reservoirs. Transport in Porous Media (2022) 144, 797-823
https://doi.org/10.1007/s11242-022-01841-0
[7] X Shen, BR Hodges, R Li, Z Li, JL Fan, NB Cui, HJ Cai, Factors influencing distribution characteristics of total dissolved gas supersaturation at confluences. Water Resources Research (2021) 57 (6), e2020WR028760
https://doi.org/10.1029/2020WR028760
[6] Z Li, BR Hodges, Revisiting surface-subsurface exchange at intertidal zone with a coupled 2D hydrodynamic and 3D variably-saturated groundwater model. (2021) Water 13 (7), 902
https://doi.org/10.3390/w13070902
[5] JT Birkholzer, J Morris, JR Bargar, F Brondolo, A Cihan, D Crandall, H Deng, W Fan, W Fu, P Fu, A Hakala, Y Hao, J Huang, AD Jew, T Kneafsey, Z Li, C Lopano, J Moore, G Moridis, S Nakagawa, V Noel, M Reagan, CS Sherman, R Settgast, C Steefel, M Voltolini, W Xiong, J Ciezobka, A new modeling framework for multi-scale simulation of hydraulic fracturing and production from unconventional reservoir. (2021) Energies 14 (3), 641
https://doi.org/10.3390/en14030641
[4] Z Li, I Ozgen-Xian, FZ Maina, A mass-conservative predictor-corrector solution to the 1D Richards equation with adaptive time control. (2021) Journal of Hydrology 592, 125809
https://doi.org/10.1016/j.jhydrol.2020.125809
[3] Z Li, BR Hodges, On modeling subgrid-scale macro-structures in narrow twisted channels. (2020) Advances in Water Resources 135, 103465
https://doi.org/10.1016/j.advwatres.2019.103465
[2] Z Li, BR Hodges, Model instability and channel connectivity for 2D coastal marsh simulations. (2019) Environmental Fluid Mechanics 19 (5), 1309-1338
https://doi.org/10.1007/s10652-018-9623-7
[1] Z Li, BR Hodges, Modeling subgrid-scale topographic effects on shallow marsh hydrodynamics and salinity transport. (2019) Advances in Water Resources 129, 1-15
Experience
Research Scientist
Postdoctoral Scholar
Graduate Research Assisstant
Undergraduate Research Assisstant
Education
The University of Texas at Austin
University of California Berkeley
Shanghai Jiao Tong University
University of Michigan Ann Arbor
Team
Our group photo taken on Sept. 2023 (when we were watching Oppenheimer)
Openings
MS, PhD and Postdoc positions are all available. Please contact by email if you are interested. Note that for applicants whose first language is not Chinese, an HSK score is mandatory.