焦建英

发布人： 时间：2023-03-21 点击量 :

个人简介

性别：男                                                         籍贯：河南濮阳

职称：副教授、硕导                                     Email: 151790353@qq.com

教育背景

2018/01－2022/05，University of Wyoming，水文地质，博士

2007/09－2011/09，西安交通大学，计算流体力学，博士

2004/09－2007/05，西安理工大学，计算数学，硕士

2000/09－2004/06，河南师范大学，计算数学，学士

工作履历

2022/10– 至今 ，三峡大学，副教授

2014/08–2014/09，Los Alamos National Lab，访问学者

2012/10–2017/12，University of Wyoming，博士后

2011/10–2012/09，Tokyo Polytechnic University，GCOE研究员

主要研究方向

[1]    机器学习、深度学习及PINN的应用

[2]    地下水超采

[3]    地下水污染物迁移

[4]    正演与反演模型

[5]    地表水与地下水交换机制

[6]    大气边界层的大涡数值模拟

参与科研项目

[1]   美国自然科学基金， EAR-1702078，A new inverse theory for joint parameter and boundary conditions estimation to improve characterization of deep formations and leakage monitoring，2018/01-2021/12

[2]   美国自然科学基金，EPS-1208909，Wyoming Center for Environmental Hydrology and Geophysics，2014/07-2017/12

[3]   美国怀俄明州基金，B2018014，The development of a new subsurface simulation theory for environmental and energy applications，2012.10-2014.06

[4]   日本文部科学省Global COE项目，B2018014，TPU Global COE Program “New Frontier of Education and Research in Wind Engineering”

学术兼职

[1]   美国地球物理学会会员

奖励与荣誉

[1] 2022年，湖北省相关人才入选者

[2] 宜昌市第十六届自然科学优秀学术论文特等奖

学术成果

代表性学术论文：

[1]     Jiao, J. (2024). Estimating uncertainty of mean water table depth in the contiguous United States using highly parameterized linear inverse method. Journal of Hydrology, 637, 131380.

[2]     Jiao, J., Befus, K. M., & Zhang, Y. (2024). Soil contaminants pose delayed but pervasive threat to shallow groundwater. Journal of Hydrology, 634, 130994.

[3]     Jiao, J., Zhang, Y., & Befus, K. M. (2023). A new highly parameterized linear inversion of water table change and groundwater depletion rate tested with the High Plains Aquifer, USA. Water Resources Research, 59(12), e2022WR034342.

[4]     Jiao, J., Zhang, Y., Parsekian, A. D., Miller, S., Maxwell, R. M., Nguyen, M. C., & Flinchum, B. A. (2023). Integrated hydrological modeling of the No-Name watershed, Medicine Bow Mountains, Wyoming (USA). Hydrogeology Journal, 31(8), 2347-2361.

[5]     Wang, W., Chen, P., Dueker, K., Zhang, Y., Lee, E. J., Mu, D., ... &Jiao, J. (2021). Coevolution of weathering front and water table. Geophysical Research Letters, 48(20), e2021GL092916.

[6]     Jiao, J., Zhang, Y., & Wang, L. (2019). A new inverse method for contaminant source identification under unknown solute transport boundary conditions. Journal of Hydrology, 577, 123911.

[7]     Wang, W., Chen, P., Keifer, I., Dueker, K., Lee, E. J., Mu, D., Jiao, J.,& Carr, B. (2019). Weathering front under a granite ridge revealed through full-3D seismic ambient-noise tomography. Earth and Planetary Science Letters, 509, 66-77.

[8]     Flinchum, B. A., Holbrook, W. S., Grana, D., Parsekian, A. D., Carr, B. J., Hayes, J. L., &Jiao, J. (2018). Estimating the water holding capacity of the critical zone using near‐surface geophysics. Hydrological Processes, 32(22), 3308-3326.

[9]     Jianying Jiao, Ye Zhang, Jianting Zhu (2017), Direct Hydraulic Parameter and Function Estimation for Diverse Soil Types Under Infiltration and Evaporation, Transport in Porous Media, 116(2), 797–823, DOI: 10.1007/s11242-016-0801-0.

[10] Jiao, J.,& Zhang, Y. (2016). Direct Method of Hydraulic Conductivity Structure Identification for Subsurface Transport Modeling. Journal of Hydrologic Engineering, 04016033

[11] Jiao, J.,& Zhang, Y. (2016). Multiscale subgrid models of large eddy simulation for turbulent flows. International Journal of Numerical Methods for Heat & Fluid Flow, 26(5).

[12] Jiao, J.,& Zhang, Y. (2015). Functional parameterization for hydraulic conductivity inversion with uncertainty quantification. Hydrogeology Journal,23(3), 597-610.

[13] Jiao, J., & Zhang, Y. (2015). Tensor Hydraulic Conductivity Estimation for Heterogeneous Aquifers under Unknown Boundary Conditions. Groundwater, 53(2), 293-304.

[14] Jiao, J., & Zhang, Y. (2014). A method based on local approximate solutions (LAS) for inverting transient flow in heterogeneous aquifers. Journal of Hydrology, 514, 145-149.

[15] Jiao, J., & Zhang, Y. (2014). Two-dimensional physical-based inversion of confined and unconfined aquifers under unknown boundary conditions. Advances in Water Resources, 65, 43-57.

[16] Zhang, Y., Irsa, J., &Jiao, J. (2014). Three-dimensional aquifer inversion under unknown boundary conditions. Journal of Hydrology, 509, 416-429.

[17] Gu, Z., Jiao, J., Zhang, Y., &Su, J. (2011). The nature of a universal subgrid eddy viscosity model in a turbulent channel flow. EPL (Europhysics Letters), 94(3), 34003.

[18] Gu, Z. L. Jiao, J. Y., &Su, J. W. (2011). Large-eddy simulation of the wind field and plume dispersion within different obstacle arrays using a dynamic mixing length subgrid-scale model. Boundary-Layer Meteorology, 139(3), 439-455.

[19] Zhaolin, G., Jianying, J., Yunwei, Z., &Junwei, S. (2012). Large eddy simulation using a dynamic mixing length subgrid‐scale model. International Journal for Numerical Methods in Fluids, 69(9), 1457-1472.

[20] Gu ZhaoLin,SuJunwei,Jiao Jianying, Xu Xiaoyun (2009). Simulation of micro-behaviors including nucleation,growth and aggregation in particle system, science in china series B: chemistry,52(2):241-248.

发明专利：

[1] Ye Zhang, Jianying Jiao, Juraj Irsa, System and method of using the same，美国，10309812