School of Earth System Science
Associate professor
地下水科学与工程(Subsurface Hydrology)、土壤物理(Soil Physics)、水文与水资源(Hydrology and Water Resources)
ygzhang@tju.edu.cn
92 Weijin Road, Bldg 16, Room 309, Nankai District, Tianjin University
300072
Yonggen Zhang
Associate Professor and PhD Supervisor from School of Earth System Science, Tianjin University
Expertise Summary
Dr. Zhang specializes in computational and experimental approaches to solve fundamental physical problems in subsurface porous media, such as soil and groundwater. His work applies to practical engineering challenges including groundwater resources, soil and groundwater environments, and energy extraction. Key contributions include the development of the Rosetta3 model for predicting soil hydraulic parameters and the creation of global high-resolution soil hydraulic and thermal datasets.
Education
B.S. in Hydrogeology, Jilin University, Changchun, China (2007)
Ph.D. in Hydrogeology, China University of Geosciences (Beijing), China (2014)
Joint Ph.D. Training, Department of Hydrology and Water Resources, University of Arizona, Tucson, USA (2012–2014), under Prof. Shlomo P. Neuman and Prof. Marcel Schaap
Positions
Visiting Student, Department of Hydrology and Water Resources, University of Arizona (February 2012 – March 2014)
Research Specialist/Postdoctoral Researcher, Departments of Hydrology and Water Resources and Soil, Water, and Environmental Science, University of Arizona (September 2013 – July 2017); collaborated with Prof. Marcel Schaap, Regents' Prof. Shlomo P. Neuman, and Prof. Alberto Guadagnini (Politecnico di Milano, Italy)
Associate Professor and PhD Supervisor, School of Earth System Science, Tianjin University (July 2017 – present); selected for "Beiyang Scholars · Talented Associate Professor" and "Beiyang Scholars · Young Backbone Teacher" programs
Research Interests
Subsurface flow dynamics in saturated and unsaturated soils
Determination of saturated and unsaturated soil hydraulic properties
Parameter estimation, geostatistics, and uncertainty assessment
Development of soil parameterization schemes, including the Rosetta3 model
Global high-resolution land surface soil datasets for hydrological, soil, and climate models
Pore-scale simulations using methods like Lattice Boltzmann
For detailed resources:
Rosetta3 Model: Improves prediction accuracy of soil hydraulic parameters and provides covariance matrices for stochastic simulations, data assimilation, and fusion. Available implementations include:
Web interfaces: Handbook60 (by Todd Skaggs, USDA-ARS) and DSIWeb (by Ehsan Ghane, Michigan State University;
Python version (compatible with Python 2/3): GitHub Repository with user manual; works on Linux, Windows 7+, Mac OS X;
Rosetta-soil Python package: PyPI (install via pip install rosetta-soil); project page at GitHub;
R version: Installation and usage details at NCSS-Tech (by Dr. Todd Skaggs, USDA-ARS)
Global High-Resolution Soil Datasets: Parameters such as residual/saturated water content, permeability, field capacity, and plant-available water; supports models for water/pollutant transport, land surface, and climate simulations
Pore-Scale Simulations: Flow field visualizations for varying soil particle sizes using Lattice Boltzmann methods and pore network models
Awards and Honors
Three-time recipient of American Geophysical Union (AGU) most-read article author awards: Reviews of Geophysics (2017–2018), Water Resources Research (2018–2019), Journal of Advances in Modeling Earth Systems (2018–2019)
Selected ESI highly cited papers
Work featured in reports by Xinhua News Agency, People's Daily, National Natural Science Foundation of China, and AGU's EOS publication
Publications
Over 60 peer-reviewed publications (see Google Scholar for full list: Profile). Research focuses on soil hydraulic parameter prediction, global soil datasets, and subsurface modeling.
Professional Activities
Editor, Hydrology and Earth System Sciences (top hydrology journal; October 2025 – present)
Associate Editor, Vadose Zone Journal (American Society of Agronomy; January 2020 – present)
Executive Chair, 4th International Soil Modeling Conference (first held in China in 2024)
Co-Leader, Soil Parameters Working Group, International Soil Modeling Consortium (ISMC)
Committee Member, First Groundwater Working Committee, China Water Resources Strategy Research Association
Invited speaker in inernational conferences, such as European Geosciences Union (EGU) meeting, etc
Principal Investigator for funded projects: National Natural Science Foundation of China (two general projects, one youth project), Tianjin Natural Science Foundation, Tianjin University Young Backbone Teacher Project
We warmly welcome applications from students in subsurface hydrology, soil physics, agricultural water conservancy, hydrology and water resources, geological engineering, and physical geography for graduate studies.
- Adjoint Ph.D. student| University of Arizona| Hydrology and Water Resources| 2013
- Doctoral degree| China University of Geosciences, Beijing, China| Subsurface hydrology| 2014
- Bachelor’s Degree| Jilin University, Changchun| Subsurface Hydrology| 2007
- Inverse Modeling of Vadose Zone and Groundwater
- soil parameterization, i.e., soil pedotransfer functions
- Data Assimilation (ensemble Kalman Filtering)
- Pore Scale Simulation (Lattice Boltzmann Method)
- Editor, Hydrology and Earth System Sciences (top hydrology journal; October 2025 – present)
- Associate Editor, Vadose Zone Journal (Soil Science Society of America; January 2020 – present)
- Co-Leader of Working group on pedotransfer functions initiated by ISMC
- Member of AGU, EGU, ISMC, SSSA, Interpore
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2017.7-Now
 Associate Professor, School of Earth System Science, Tianjin University, China | Associate Professor  -
2013.10-2017.2
Hydrology and Water Resources | The University of Arizona, USA | Research Specialist 
- Papers
- [1] B Guo, J Zeng, ML Brusseau, Y Zhang, 2021, A screening model for quantifying PFAS leaching in the vadose zone and mass discharge to groundwater, Advances in Water Resources
- [2] Harry Vereecken, Wulf Amelung, Sara L. Bauke, Heye Bogena, Nicolas Brüggemann, Carsten Montzka, Jan Vanderborght, Michel Bechtold, Günter Blöschl, Andrea Carminati, Mathieu Javaux, Alexandra G. Konings, Jürgen Kusche, Insa Neuweiler, Dani Or, Susan Steele-Dunne, Anne Verhoef, Michael Young & Yonggen Zhang, 2022, Soil hydrology in the Earth system, Nature Reviews Earth & Environment
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- [3] Yonggen Zhang, Lutz Weihermüller, Brigitta Szabó, Muhammad Noman, Harry Vereecken, 2022, Analyzing dual porosity in soil hydraulic properties using soil databases for pedotransfer function development. Vadose Zone Journal, e20227. https://doi.org/10.1002/vzj2.20227
- [4] Yonggen Zhang, Marcel G. Schaap, and Zhongwang Wei, 2020, Development of Hierarchical Ensemble Model and Estimates of Soil Water Retention with Global Coverage, Geophysical Research Letters, doi: 10.1029/2020GL088819
- [5] Peijun Li, Yuanyuan Zha, Liangsheng Shi, Chak-Hau Michael Tso, Yonggen Zhang, Wenzhi Zeng, 2020, Comparison of the use of a physical-based model with data assimilation and machine learning methods for simulating soil water dynamics, Journal of Hydrology, 584, doi: 10.1016/j.jhydrol.2020.124692
- [6] Lu Li, Wei Shangguan, Yi Deng, Jiafu Mao, JinJing Pan, Nan Wei, Hua Yuan, Shupeng Zhang, Yonggen Zhang, Yongjiu Dai, 2020, A Causal Inference Model Based on Random Forests to Identify the Effect of Soil Moisture on Precipitation, Journal of Hydrometeorology, 21(5), 1115-1131, doi: 10.1175/JHM-D-19-0209.1
- [7] Zhongwang Wei, Xiaogang He, Yonggen Zhang, Ming Pan, Justin Sheffield, Liqing Peng, Dai Yamazaki, Abdul Moiz, Yaping Liu, Koji Ikeuchi, 2020, Identification of uncertainty sources in quasi-global discharge and inundation simulations using satellite-based precipitation products, Journal of Hydrology, 589, doi: 10.1016/j.jhydrol.2020.125180
- [8] Peijun Li, Yuanyuan Zha, Chak-Hau Michael Tso, Liangsheng Shi, Danyang Yu, Yonggen Zhang, Wenzhi Zeng, 2020, Data assimilation of uncalibrated soil moisture measurements from frequency-domain reflectometry, Geoderma, 374, doi: 10.1016/j.geoderma.2020.114432
- [9] Shaobo Sun, Zhaoliang Song, Xi Chen, Tiejun Wang, Yonggen Zhang, Dongbo Zhang, Huifang Zhang, Qian Hao, Baozhang Chen, 2020, Multimodel‐based analyses of evapotranspiration and its controls in China over the last three decades, Ecohydrology, 13(3), 2195, doi: 10.1002/eco.2195
- [10] Lei Zhu, Tongqing Shen, Rong Ma, Dongjun Fan, Yonggen Zhang, Yuanyuan Zha, 2020, Development of cracks in soil: An improved physical model, Geoderma, 366, doil: 10.1016/j.geoderma.2020.114258
- [11] Yonggen Zhang, and Marcel G. Schaap, 2019, Estimation of saturated hydraulic conductivity with pedotransfer functions: A review, Journal of Hydrology, 575, 1011-1030, doi: 10.1016/j.jhydrol.2019.05.058
- [12] Yongjiu Dai, Qinchuan Xin, Nan Wei, Yonggen Zhang, Wei Shangguan, Hua Yuan, Shupeng Zhang, Shaofeng Liu, Xingjie Lu, 2019, A Global High‐Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling, Journal of Advances in Modeling Earth Systems, 11(9), 2996-3023, doi: 10.1029/2019MS001784
- [13] Kuangjia Li, Yonggen Zhang, Tian-Chyi Jim Yeh, Lin Zhao, Xiaoru Su, Yu-Li Wang, Yueming Qi, 2019, An iterative scheme to map and incorporate geologic information of discontinuous heterogeneity in hydraulic tomography, Journal of Hydrology, 579, 124-143, doi: 10.1016/j.jhydrol.2019.124143
- [14] Yonggen Zhang, Marcel G. Schaap, and Yuanyuan Zha, 2018, A High-Resolution Global Map of Soil Hydraulic Properties Produced by a Hierarchical Parameterization of a Physically-Based Water Retention Model,Water Resources Research,doi: 10.1029/2018WR023539.
- [15] Lei Zhu, Dongjun Fan, Rong Ma, Yonggen Zhang,and Yuanyuan Zha,2018,Experimental and Numerical Investigations of Influence on Overland Flow and Water Infiltration by Fracture Networks in Soil,Geofluids,1-16,doi: 10.1155/2018/7056858.
- [16] Yuanyuan Zha, Tian-Chyi J. Yeh, Walter A. Illman, Wenzhi Zeng, Yonggen Zhang, Fangqiang Sun, and Liangsheng Shi,2018,A Reduced-Order Successive Linear Estimator for Geostatistical Inversion and Its Application in Hydraulic Tomography,Water Resources Research,54, 3,1616-1632,doi: 10.1002/2017WR021884.
- [17] Yonggen Zhang and Marcel G. Schaap,2017,Weighted Recalibration of the Rosetta Pedotransfer Model with Improved Estimates of Hydraulic Parameter Distributions and Summary Statistics (Rosetta3),Journal of Hydrology,547, 39–53,doi:10.1016/j.jhydrol.2017.01.004.
- [18] Kris Van Looy, Johan Bouma, Michael Herbst, John Koestel, Budiman Minasny, Umakant Mishra, Carsten Montzka, Attila Nemes, Yakov Pachepsky, José Padarian, Marcel Schaap, Brigitta Tóth, Anne Verhoef, Jan Vanderborght, Martine van der Ploeg, Lutz Weihermüller, Steffen Zacharias, Yonggen Zhang, and Harry Vereecken,2017,Pedotransfer functions in Earth system science: challenges and perspectives,Reviews of Geophysics,55, 4,1199-1256,doi:10.1002/2017RG000581.
- [19] Jicai Zeng, Yuanyuan Zha, Yonggen Zhang, Liangsheng Shi, Yan Zhu, Jinzhong Yang,2017,On the sub-model errors of a generalized one-way coupling scheme for linking models at different scales,Advances in Water Resources,69-83,doi: 10.1016/j.advwatres.2017.09.005.
- [20] Chi Xu, Wenzhi Zeng, Hongya Zhang, Jiesheng Huang, Yonggen Zhang, Jingwei Wu, and Marcel G. Schaap,2017,Inversion of Root Zone Soil Hydraulic Parameters with Limited Calibration Data,Soil Science Society of America Journal,p. 734-746,doi:10.2136/sssaj2016.09.0308.
- [21] Yuanyuan Zha, Jinzhong Yang, Lihe Yin, Yonggen Zhang, Wenzhi Zeng, and Liangsheng Shi,2017,A modified Picard iteration scheme for overcoming numerical difficulties of simulating infiltration into dry soil,Journal of Hydrology,551, 56–69,doi: 10.1016/j.jhydrol.2017.05.053.
- [22] Yonggen Zhang, Marcel G. Schaap, Alberto Guadagnini, and Shlomo P. Neuman,2016,Inverse Modeling of Unsaturated Flow Using Clusters of Soil Texture and Pedotransfer Functions,Water Resources Research,52, 7631-7644,doi: 10.1002/2016WR019016.
- [23] Yonggen Zhang, Mingzhu Liu, Honghan Chen, and Guohua Hou,2014,Source identification of polycyclic aromatic hydrocarbons in different ecological wetland components of the Qinkenpao Wetland in Northeast China,Ecotoxicology and environmental safety,102, 160-167,doi: 10.1016/j.ecoenv.2014.01.030.





