• 基本介绍
  • 教育经历
  • 工作经历
  • 研究方向
  • 科研项目
  • 论文信息
  • 专利著作
  • 获奖信息
刘柱
副教授，硕士生导师
水文新馆2-012 zhuliu@hhu.edu.cn
刘柱，博士，副教授，硕士生导师。主要从事气候变化对水文水资源的影响、积雪水文过程与致灾机理、洪水模拟及模型不确定性量化等方面的研究。本科生工程水文及水利计算（必修）、水文气象学（双语）、数据库及应用、水文水资源专业英语等课程主讲教师；担任Remote Sensing等三个SCI期刊客座编辑，长期担任Bulletin of American Meteorological Society, The Inovation Geoscience, Geophsical Research Letters, Earth's Future, Journal of Hydrology, Climate Dynamics等二十余个SCI期刊审稿人；主持和参与了国家自然科学基金、十四五国家重点研发计划、中科院A类先导、第二次青藏科考、江苏省自然科学基金等科研项目十余项；美国地球物理联合会、欧洲地球科学联合会、亚洲大洋洲地球科学学会会员；曾获得江苏省双创博士（2022）、南京市留学回国人才（2023）、Journal of Flood Risk Management杰出论文奖、365(VIP)英国上市官网优秀班导师（2023）、普渡大学优秀助教奖。每年招收水文水资源专业学术型硕士、自然地理学专业学术型硕士、土木水利专业型硕士若干名，欢迎来信咨询。


招生信息
各位同学好：
课题组每年招收水文水资源专业学术型硕士、自然地理学学术型硕士、土木水利专业型硕士若干名。请有意向的同学报考，一起探寻气候变化背景下水的奥秘 (联系方式，Email: zhuliu@hhu.edu.cn)!

教育经历

  • 2012-09 - 2013-12: 美国加州大学尔湾分校 土木工程 水文水资源 硕士
  • 2014-08 - 2018-08: 美国普渡大学 土木工程 水文水资源 博士
  • 2008-09 - 2012-06: 西安理工大学 水利水电工程 学士

工作经历

  • 2021-01 - 2021-05 365(VIP)英国上市官网讲师
  • 2021-05 - 至今 365(VIP)英国上市官网副教授
  • 2018-10 - 2020-10 加州大学戴维斯分校博士后

研究方向

  • 洪水模拟
  • 极端水文事件
  • 气候变化对寒区地表水热过程的影响
  • 模型不确定性分析

科研项目

  • 2025-01 ~ 2027-12，复杂水热条件下雪面雨洪水形成机理及其对气候变化的响应研究-国家自然科学基金青年项目-主持
  • 2022-07-01 ~ 2025-06-01，长江中下游洪水淹没特征对气候变化的响应机制及不确定性研究-江苏省自然科学基金青年项目-主持
  • 江苏省双创博士-主持
  • 2023-11-01 ~ 2024-11-01，基于生成对抗网络和水文水动力耦合模型的洪水预警软件研发与应用-南京市留学回国人员科技创新择优资助项目-主持
  • 2025-01 ~ 2026-12，基于气象-水文-水动力耦合模型的长江中下游洪水淹没特征演变机制研究-中国气象局水文气象重点开放实验室开放研究课题-主持
  • 2022-01-01 ~ 2023-01-01，基于贝叶斯模型的泛三极地区多模式气候集成预估-中央高校基本可以业务费-主持
  • 2018-01-01 ~ 2023-01-01，泛三极地区气候变化预估和多情景应对战略-中科院A类先导项目子课题-参与
  • 2021-12-01 ~ 2025-11-01，流域生态-水文过程互馈机理与生态环境演变归因-十四五国家重点研发计划项目课题-参与，国家级
  • 2022-11-01 ~ 2024-10-01，亚洲水塔变化及其广域效应-第二次青藏科考项目子课题-参与
  • 2023-01-01 ~ 2025-12-01，基于高精度水文气象集合预报的洪旱灾害预警预报与风险评估技术-参与

论文信息

  • Su, T., Liu, Z.*, Duan, Q.* et al, 2025. Advancing the Reliability of Future Hydrological Projections in a Snow‐Dominated Alpine Watershed: Integrating Uncertainty Decomposition and CycleGAN Bias Correction. Earth’s Future. DOI: 10.1029/2024EF005615.
  • Liu, Z., Huang, B., Liu, S., Fan, X., Yin, J. and Duan, Q., 2025. Anatomy and assessment of surface water and energy balance components simulated by CMIP6 models in Pan Third Pole. Journal of Hydrology, 652, p.132656. DOI: https://doi.org/10.1016/j.jhydrol.2024.132656.
  • Wu, X., Liu, Z. and Duan, Q., 2025. A combined wavelet analysis–quantile mapping (WA-QM) method for bias correction: capturing the intra-annual temporal patterns in climate model precipitation simulations and projections. Environmental Research Letters. DOI: 10.1088/1748-9326/adae23
  • Zhang, J., Lian, Y., Duan, Q., Liu, Z., Mao, X., Ling, M. and Guan, Y., 2025. Coupled hydrologic and hydraulic modeling for a lowland river basin in China. Journal of Hydrology, 649, p.132470. DOI: 10.1109/JSTARS.2025.3535790.
  • Cui, Y., Zhao, R., Jiang, L., Duan, X., Xiao, M., Liu, Z., Wang, L., Duan, X. and Teerarojanarat, S., 2025. What drives nighttime tourism intensity in Thailand? Evidence from Thai attractions based on satellite observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: http://dx.doi.org/10.1155/2015/696015.
  • Huang, B., Liu, Z.*, Duan, Q., Rajib, A. and Yin, J., 2024. Unsupervised deep learning bias correction of CMIP6 global ensemble precipitation predictions with cycle generative adversarial network. Environmental Research Letters, 19(9), p.094003. DOI: 10.3969/j.issn.1003-5060.2015.01.016.
  • Yin, J., Huang, Y., Lu, C. and Liu, Z., 2024. Uncertainty-based saltwater intrusion prediction using integrated Bayesian machine learning modeling (IBMLM) in a deep aquifer. Journal of Environmental Management, 354, p.120252. DOI: 10.1016/j.jenvman.2024.120252
  • Zhu Liu. Bayesian assessment of CMIP6 surface net radiation predictions for Koppen-Geiger climate zones,INTERNATIONAL JOURNAL OF CLIMATOLOGY,SCI,2023-10-01. DOI: https://doi.org/10.1002/joc.8152.
  • Zhang, W., Liu, Y., Tang, W., Wang, W. and Liu, Z., 2023. Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions. Stochastic Environmental Research and Risk Assessment, 37(2), pp.697-715. DOI: https://doi.org/10.1007/s00477-022-02306-y
  • Bohan Huang, Zhu Liu*, Su Liu, Qingyun Duan.Investigating the Performance of CMIP6 Seasonal Precipitation Predictions and a Grid Based Model Heterogeneity Oriented Deep Learning Bias Correction Framework ,Journal of Geophysical Research: Atmospheres,SCI,2023.12. DOI: https://doi.org/10.1029/2023JD039046（通讯作者）
  • Zhu Liu, Qingyun Duan, Xuewei Fan, Wentao Li, Jina Yin. Bayesian retro and prospective assessment of CMIP6 climatology in Pan Third Pole region,Climate Dynamics,SCI,2022.6. DOI: https://doi.org/10.1007/s00382-022-06345-7.
  • Su Liu#, Zhu Liu#, Qingyun Duan, Bohan Huang.The performance of CMIP6 models in simulating surface energy fluxes over global continents,Climate Dynamics,SCI,2022.11. DOI: https://doi.org/10.1007/s00382-022-06595-5.（共同一作）
  • Zhu Liu, Jonathan D. Herman, Guobiao Huang, Tariq Kadir, Helen Dahlke. Identifying climate change impacts on surface water supply in the southern Central Valley, California.,Science of the Total Environment,SCI,2021. DOI: https://doi.org/10.1016/j.scitotenv.2020.143429.
  • Yin, J., Medellín-Azuara, J., Escriva-Bou, A. and Liu, Z.*, 2021. Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change. Science of The Total Environment, 769, p.144715. DOI: 10.1016/j.scitotenv.2020.144715.
  • Zhu Liu, Jina Yin, Helen Dahlke. Enhancing SWAT snow prediction reliability with remote sensing based SWE reconstruction product for upland watersheds in a multi-objective calibration process.,Water,SCI,2020.11. DOI: https://doi.org/10.3390/w12113190.
  • Zhu Liu, Venkatesh Merwade. Separation and Prioritization of uncertainty sources in a raster based flood inundation model using hierarchical Bayesian model averaging,Journal of Hydrology,SCI,2019.9. DOI: https://doi.org/10.1016/j.jhydrol.2019.124100.
  • Adnan Rajib#, Zhu Liu#, Venkatesh Merwade, Ahmad A. Tavakoly, Michael L. Follum. Towards a large-scale locally relevant flood inundation modeling framework using SWAT and LISFLOOD-FP. ,Journal of Hydrology,SCI,2019.11. DOI: https://doi.org/10.1016/j.jhydrol.2019.124406.（共同一作）
  • Zhu Liu, Venkatesh Merwade, Keighobad Jafarzadegan. Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐ and two‐dimensional hydraulic models. ,Journal of Flood Risk Management,SCI,2019. DOI: https://doi.org/10.1111/jfr3.12347.
  • Zhu Liu, Venkatesh Merwade. Accounting for model structure, parameter and input forcing uncertainty in flood inundation modeling using Bayesian model averaging,Journal of Hydrology,SCI,2018.8. DOI: https://doi.org/10.1016/j.jhydrol.2018.08.009.
  • Zhu Liu, Ali Mehran, Thomas J. Phillips, Amir AghaKouchak. Seasonal and regional biases in CMIP5 precipitation simulations,Climate Research,SCI,2014.5. DOI: https://doi.org/10.3354/cr01221.
  • Gao, X., Duan, Q., Ou, T., Fu, Y., Fan, X., Liu, Z., Miao, C. and Shen, C., 2024. Climate Variability and Climate Change: Past and Future. In Water Resources in the Lancang-Mekong River Basin: Impact of Climate Change and Human Interventions (pp. 9-47). Singapore: Springer Nature Singapore. （书籍章节）
  • Merwade, V., Rajib, M.A. and Liu, Z., 2018. An integrated approach for flood inundation modeling on large scales. In Bridging science and policy implication for managing climate extremes (pp. 133-155). Singapore: World Scientific. （书籍章节）

专利著作

  • 一种不确定性条件下预测咸水入侵动态的替代建模方法
  • 集成机器学习方法预测多要素作用下地下水储存量变化软件V1.0
  • 基于LSTM模型水文站长时间序列日流量过程模拟软件V1.0
  • 一种基于贝叶斯多模型集对分析的海水入侵预测方法
  • 一种模拟潮汐和井群作用下坝后残余咸水回退的实验装置

获奖信息

  • Journal of Flood Risk Management,Zhu Liu,2020,期刊杰出论文奖
  • 江苏省双创博士（2022）
  • 南京市留学回国人才（2023）
  • 365(VIP)英国上市官网优秀班导师（2023）
  • 美国普渡大学优秀助教奖