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张晓影

发布日期:2015-09-23 作者: 编辑: 点击:

简介

 张晓影,教授、博士生导师、入选“万人计划”青年人才项目

 吉林省省部级领军人才、China-Africa水协会青年委员、入选吉林大学“励新优秀青年教师培养计划”

 邮箱:xiaoyingzh@jlu.edu.cn  

教育背景

 美国佛罗里达州立大学  地球,海洋与大气科学系  地质学  博士  2009-2014

 中国地质大学(北京) 水资源与环境学院  水文学及水资源 硕士 2006-2009

 中国科学院大气物理研究所(硕士联培)

 兰州大学  资源环境学院  水文学及水资源  学士  2002-2006

工作经历

 教授   吉林大学 建设工程学院  2023-

 副教授  吉林大学 建设工程学院  2018-2023

 博士后  暨南大学 地下水与地球科学研究院  2015-2018  

 助研   美国西北太平洋国家实验室  2010-2012

研究方向

 地下水环境污染物反应运移机制及过程模拟

 高放废物地质处置不确定性分析及安全评价

 海陆交互带地下水海水相互作用及水文地球生物化学机制

学生培养

 1. 研究生国家奖学金获得者3

 2. 研究生优秀奖学金8人次

 3. 优秀毕业生1

教学课程

 地下水动力学B、地下水运移数值模拟、Groundwater Environment

主持项目

    1. 国家自然科学基金面上项目,项目名称:核素在多级反应矿物相中的反应迁移机制及其尺度效应,主持, 2020-2023.

    2. 国家自然科学基金面上基金,项目名称:人类病毒在非均质含水层介质中的衰减迁移特征及动力学机制,主持,2023-2026.

    3. 国家自然科学基金青年基金项目,项目名称:地下水向海排泄过程中无机氮迁移转化及动力学数值模拟,主持,2018-2020.

    4. 国家重点研发计划“场地土壤污染成因与治理技术”重点专项,项目名称:场地污染实时响应监测预警技术与装备,子课题负责,2019-2022.

    5. 国家重点研发计划“水资源高效开发利用”重点专项,项目名称:“黄渤海沿海地区地下水管理与海水入侵防治研究”, 子课题负责,2016-2021.

发表论文

(1)X. Zhang, Cai, F. Cai, F. Ma, P. Reimus, L. Qi, D. Lu, M. R. Soltanian, Z. Dai*. Investigating the role of Na-bentonite colloids in facilitating Sr transport in granite minerals through column experiments and modeling. Journal of Hazardous Materials, 2024, 463, 132851.

(2)X. Zhang, T. Lan, H. Jiang, K. Ye, Z. Dai*, Bacterial community driven nitrogen cycling in coastal sediments of intertidal transition zone. Science of the Total Environment, 2023, 908(11), 168299.

(3)S. Jia, Z. Dai*, Z. Zhou, H, Ling, Z. Yang, L. Qi, Z. Wang, X. Zhang*, H.V. Yhanh, M.R. Soltanian. Upscaling dispersivity for conservative solute transport in naturally fractured mediaWater Research, 2023, 235, 119844.

(4)C. Zhan, Z. Dai, Z. Yang, X. Zhang*, Z. Ma, H. V. Thanh, M. R. Soltanian. Subsurface sedimentary structure identification using deep learning: A review. Earth-Science Reviews, 2023, 239, 104370.

(5)Cai, F. Ma*, X. Zhang*, P.Reimus, L. Qi, Y. Wang , D. Lu, H. V. Thanh, Z. Dai. Investigating the influence of bentonite colloids on strontium sorption in granite under various hydrogeochemical conditions. Science of the Total Environment. 2023, 900, 165819.

(6)X. Zhang, Z. Wang, P. Reimus, F. Ma, M. R. Soltanian, B. Xing, J. Zang, Yu Wang*, Z. Dai*. Plutonium reactive transport in fractured granite: Multi-species experiments and simulations. Water Research, 2022, 224(1),119068.

(7)X. Zhang, L. Qi, Z. Ma, F. Ma, Z. Dai. Impact of fracture filling materials on selenium sorption in granite. Journal of Hydrology, 2022, 612: 128287.

(8)C. Zhan, Z. Dai*, M. R. Soltanian, X. Zhang*. Stage-wise stochastic deep learning inversion framework for subsurface sedimentary structure identification. Geophysical Research Letters, 2022, 49(1).

(9)X. Zhang, F. Dong, G. Chen, Z. Dai*. Advance prediction of coastal groundwater levels with temporal convolutional and long short-term memory networks. Hydrology and Earth System Sciences. 2022, 10.5194.

(10)X. Zhang, F. Ma, S. Yin, C. D. Wallace, M. R. Soltanian, Z. Dai*, R. W. Ritzi, Z. Ma, C. Zhan, X. Lv. Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review. Applied Energy, 2021,303:117603.

(11)X. Zhang, F. Ma, Z. Dai*, J. Wang, L. Chen, H. Ling, M. Reza Soltanian. Radionuclide transport in multi-scale fractured rocks: a review. Journal of Hazardous Materials, 2021,424: 127550.

(12)X. Zhang, L. Qi, W. Li, B. X Hu*, Z. Dai*, Bacterial community variations with salinity in the saltwater-intruded estuarine aquifer. Science of The Total Environment, 2020, 10, 755, 142423.

(13)Z. Dai, L. Xu, T. Xiao*, B. McPherson, X. Zhang*, L. Zheng, S. Dong, Z. Yang, M. R. Soltanian, C. Yang, W. Ampomah, W. Jia, S. Yin, T. Xu, D. Bacon, H. Viswanathan. Reactive chemical transport simulations of geologic carbon sequestration: Methods and applications. Earth-Science Reviews. 2020, 208,103265.

(14)Z. Dai, Z. Ma*, X. Zhang*, J. Chen, E. Ershadnia, X. Luan, M.R. Soltanian. An integrated experimental design framework for optimizing solute transport monitoring locations in heterogeneous sedimentary media. Journal of Hydrology, 2022, 47191.

(15)X. Zhang*, B. X. Hu*, H. Ren, J. Zhang. Composition and functional diversity of microbial community across a mangrove-inhabited mudflat as revealed by 16S rDNA gene sequences. Science of the Total Environment, 2018, 633C, 518-528.

(16)Z. Dai, C. Zhan, S. Dong, S. Yin, X. Zhang*, M. R. Soltanian. How does resolution of sedimentary architecture data affect plume dispersion in multiscale and hierarchical systems? Journal of Hydrology, 2020, 582, 124516.

(17)J. Zhang, X. Zhang*, J. Niu*, B. X Hu, M. R. Soltanian, Q. Han, L. Yang. Prediction of groundwater level in seashore reclaimed land using wavelet and artificial neural network-based hybrid model. Journal of Hydrology, 2019, 577:123948.

(18)S. Jia, Z. Dai*, Z. Yang*, Z. Du, X. Zhang, R. Ershadnia, R. Soltanian. Uncertainty quantification of radionuclide migration in fractured granite. Journal of Cleaner Production, 2022, 366(8-12).

(19)J. Chen, Z. Dai, S. Dong, X. Zhang, G. Sun, J. Wu, R. Ershadnia, S. Yin, R. Soltanian. Integration of deep learning and information theory for designing monitoring networks in heterogeneous aquifer systems. Water Resources Research, 2022, doi: 10.1029/2022WR032429.

(20)J. Chen, Z. Dai, Z. Yang, Y. Pan, X. Zhang, J. Wu, R. Soltanian. An improved tandem neural network architecture for inverse modeling of multicomponent reactive transport in porous media. Water Resources Research. 2021, 57(12).

(21)F. Ma, X. Zhang*, C. Zhan, W. Chen, L. Qi, Z, Dai *. Upscaling of Se(IV) sorption coefficients with hierarchical mineral characterization in multi-scale fractured granite. Stochastic Environmental Research and Risk Assessment, doi.org/10.1007/s00477-022-02321-z, 2022.

(22)M. R. Soltanian, S. Hajirezaie ,S. Hosseini, H. Dashtian, A. Amooie, A. R. Ershadnia, W. Ampomah, A. W. Islam, X. Zhang*. Multicomponent reactive transport of carbon dioxide in fluvial heterogeneous aquifers. Journal of Natural Gas Science and Engineering. 2019, 65: 212-223.

(23)Z. Ma, Z. DaiX. Zhang*, C. Zhan*, H.Gong, L. Zhu, C. D. Wallace, M. R. Soltanian. Dispersivity variations of solute transport in heterogeneous sediments: numerical and experimental study. Stochastic Environmental Research and Risk Assessment, 2021, 36(2): 661-677.

(24)P. Wang, X. Zhang*, Y.Hao, D. Li. Evaluating salinity variation and origin in coastal aquifer systems with integrated geophysical and hydrochemical approaches. Environmental Science and Pollution Research, 2022, 29(23): 34038-34054.

(25)X. Zhang, J. Chen, B. X. Hu, Y. Yu, J. So, J. Zhang, Z. Dai, S. Yin, R. Soltanian, W. Ren. Application of risk assessment in determination of soil remediation targets. Stochastic Environmental Research and Risk Assessment, 2021, 34: 1659-1673.

(26)A. Hemmati-Sarapardeh, M. N. Amar, M. R. Soltanian, Z. Dai, X. Zhang*, Modeling CO2 solubility in water at high pressure and temperature conditions. Energy&Fuels. 2020. 34, 4, 4761-4776.

(27)X. Zhang, F. Dong, H. Dai, B.X. Hu, G. Qin, D. Li, X. Lv, Z. Dai, R. Soltanian. Influence of lunar semidiurnal tides on groundwater dynamics in estuarine aquifers. Hydrogeolog Journal, 2020, 28(1-2).

(28)K. Xiao, H. Li, M. Shananan, X. Zhang, X. Wang, Y, Zhang, X. Zhang, H. Liu. Coastal water quality assessment and groundwater transport in a subtropical mangrove swamp in Daya Bay, China. Science of The Total Environment, 2019, 646: 1419-1432.

(29)G. Wei , X. Zhang*, M. Ye, N. Yue, F. Kan. Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region. Hydrology and Earth System Sciences. 2019, 23(7):2877-2895.

(30)X. Zhang, J. Miao*, B. X. Hu*, H. Liu, H. Zhang, Z. Ma. Hydrogeo-chemical characterization and groundwater quality assessment in intruded coastal brine aquifers, Environmental Science and Pollution Research, 2017, 24(26): 21073-21090.

(31)X. Zhang, C. Liu*, B. X. Hu, G. Zhang. Uncertainty analysis of multi-rate kinetics of uranium desorption from sediments, Journal of Contaminant Hydrology, 2014, 156(1):1.

(32)X. Zhang, C. Liu*, B. X. Hu, Q. Hu. Grain size based additivity models for scalling multi-scale uranyl surface complexation in subsurface sediments, Mathematical Geosciences, 2016, 48(5): 511-535.


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