赵铜铁钢

土木工程学院 教授



学科方向
水资源水生态
河海动力过程



Email
zhaottg@mail.sysu.edu.cn



教育经历
2004年进入清华大学土木水利学院水利工程系学习，2008年获得工学学士学位，并留校直接攻读博士学位。2013年获得博士学位，博士研究导师为王浩院士、杨大文教授和Ximing Cai教授。研究生期间，主要针对考虑预报不确定性的水资源优化调度展开研究，先后开发了不确定性动态演进数学模型和供水、发电、防洪等优化算法
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工作经历
2014年受聘于澳大利亚联邦科学工业组织（Commonwealth Scientific and Industrial Research Organization，CSIRO），先后担任Postdoc Fellow（2014年至2015年）和Research Scientist（2015年至2017年）。2017年受聘于墨尔本大学（The University of Melbourne），担任Research Fellow。在澳期间，与QJ Wang教授、Quanxi Shao研究员和Andrew Schepen研究员等合作，从事全球气象预报和流域水文预报等研究，参加了澳大利亚国家水信息基础研究计划，参与研制了澳大利亚国家气象局的业务预报系统
2018年入选国家海外高层次人才计划，受聘于中山大学，担任教授、博士生导师
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代表性学术论文
（1）流域水文预报
Zhao, T. T. G.; Zhao, J. S.; Yang, D. W.; Wang, H., Generalized martingale model of the uncertainty evolution of streamflow forecasts. Advances in Water Resources 2013, 57, 41-51. https://doi.org/10.1016/j.advwatres.2013.03.008
Zhao, T. T. G.; Zhao, J. S., Forecast-skill-based simulation of streamflow forecasts. Advances in Water Resources 2014, 71, 55-64. https://doi.org/10.1016/j.advwatres.2014.05.011
Zhao, T. T. G.; Wang, Q. J.; Bennett, J. C.; Robertson, D. E.; Shao, Q. X.; Zhao, J. S., Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model. Journal of Hydrology 2015, 528, 329-340. https://doi.org/10.1016/j.jhydrol.2015.06.043
Zhao, T. T. G.; Schepen, A.; Wang, Q. J., Ensemble forecasting of sub-seasonal to seasonal streamflow by a Bayesian joint probability modelling approach. Journal of Hydrology 2016, 541, 839-849. https://doi.org/10.1016/j.jhydrol.2016.07.040
Zhao, T. T. G.; Wang, Q. J.; Schepen, A.; Griffiths, M., Ensemble forecasting of monthly and seasonal reference crop evapotranspiration based on global climate model outputs. Agricultural and Forest Meteorology 2019, 264, 114-124. https://doi.org/10.1016/j.agrformet.2018.10.001
Zhao, T. T. G.; Wang, Q. J.; Schepen, A., A Bayesian modelling approach to forecasting short-term reference crop evapotranspiration from GCM outputs. Agricultural and Forest Meteorology 2019, 269, 88-101. https://doi.org/10.1016/j.agrformet.2019.02.003
（2）全球水文预报
Zhao, T. T. G.; Bennett, J. B.; Wang, Q. J.; Schepen, A.; Wood, A. W.; Robertson, D. E.; Ramos, M-H., How suitable is quantile mapping for post-processing GCM precipitation forecasts? Journal of Climate 2017, https://doi.org/10.1175/jcli-d-16-0652.1
Zhao, T. T. G.; Liu, P.; Zhang, Y. Y.; Ruan, C. Q., Relating anomaly correlation to lead time: Clustering analysis of CFSv2 forecasts of summer precipitation in China. Journal of Geophysical Research-Atmospheres 2017, 122(17), 9094-9106. https://doi.org/10.1002/2017jd027018
Zhao, T. T. G.; Chen, X. H.; Liu, P.; Zhang, Y. Y.; Liu, B. J.; Lin, K. R., Relating anomaly correlation to lead time: principal component analysis of NMME forecasts of summer precipitation in China. Journal of Geophysical Research-Atmospheres 2018, 123, 6039-6052. https://doi.org/10.1029/2018JD028267
Zhao, T. T. G.; Zhang, Y. Y.; Chen, X. H., Predictive performance of NMME seasonal forecasts of global precipitation: a spatial-temporal perspective. Journal of Hydrology 2019. https://doi.org/10.1016/j.jhydrol.2018.12.036
Zhao, T. T. G.; Zhang, W.;?Zhang, Y. Y.; Liu, Z. Y.; Chen, X. H, Significant spatial patterns from the GCM seasonal forecasts of global precipitation.?Hydrology and Earth System Sciences 2020,?24(1), 1-16.?https://doi.org/10.5194/hess-24-1-2020
Zhao, T. T. G.;?Chen, H. L.;?Xu, W. X.; Cai, H. Y.; Yan, D. H.; Chen, X. H., Spatial association of anomaly correlation for GCM seasonal forecasts of global precipitation. Climate Dynamics, 2020, 55, 2273–2286. https://doi.org/10.1007/s00382-020-05384-2
（3）水资源系统分析
Zhao, T. T. G.; Cai, X. M.; Lei, X. H.; Wang, H., Improved Dynamic Programming for Reservoir Operation Optimization with a Concave Objective Function. Journal of Water Resources Planning and Management-ASCE 2012, 138(6), 590-596. https://doi.org/10.1061/(asce)wr.1943-5452.**
Zhao, T. T. G.; Zhao, J. S.; Yang, D. W., Improved Dynamic Programming for Hydropower Reservoir Operation. Journal of Water Resources Planning and Management-ASCE 2014, 140 (3), 365-374. https://doi.org/10.1061/(asce)wr.1943-5452.**
Zhao, T. T. G.; Zhao, J. S., Improved multiple-objective dynamic programming model for reservoir operation optimization. Journal of Hydroinformatics 2014, 16 (5), 1142-1157. https://doi.org/10.2166/hydro.2014.004
Zhao, T. T. G.; Zhao, J. S., Optimizing Operation of Water Supply Reservoir: The Role of Constraints. Mathematical Problems in Engineering 2014. https://doi.org/10.1155/2014/853186
Zhao, T. T. G.; Zhao, J. S.; Liu, P.; Lei, X. H., Evaluating the marginal utility principle for long-term hydropower scheduling. Energy Conversion and Management 2015, 106, 213-223. https://doi.org/10.1016/j.enconman.2015.09.032
Zhao, T. T. G.; Zhao, J. S.; Lei, X. H.; Wang, X.; Wu, B. S., Improved dynamic programming for reservoir flood control operation. Water Resources Management 2017, https://doi.org/10.1007/s11269-017-1599-4
（4）水资源预报调度
Zhao, T. T. G.; Cai, X. M.; Yang, D. W., Effect of streamflow forecast uncertainty on real-time reservoir operation. Advances in Water Resources 2011,34 (4), 495-504. https://doi.org/10.1016/j.advwatres.2011.01.004
Zhao, T. T. G.; Yang, D. W.; Cai, X. M.; Zhao, J. S.; Wang, H., Identifying effective forecast horizon for real-time reservoir operation under a limited inflow forecast. Water Resources Research 2012, 48. https://doi.org/10.1029/2011wr010623
Zhao, T. T. G.; Zhao, J. S., Joint and respective effects of long- and short-term forecast uncertainties On reservoir operations. Journal of Hydrology 2014,517, 83-94. https://doi.org/10.1016/j.jhydrol.2014.04.063
Zhao, T. T. G.; Zhao, J. S.; Lund, J. R.; Yang, D. W., Optimal Hedging Rules for Reservoir Flood Operation from Forecast Uncertainties. Journal of Water Resources Planning and Management-ASCE 2014, 140 (12). https://doi.org/10.1061/(asce)wr.1943-5452.**
（5）其他相关论文
Zhao, T. T. G.; Shao, Q. X., Detecting floodplain inundation based on the upstream-downstream relationship. Journal of Hydrology 2015, 530, 195-205. https://doi.org/10.1016/j.jhydrol.2015.09.056
Zhao, T. T. G.; Zhao, J.; Hu, H.; Ni, G., Source of atmospheric moisture and precipitation over China's major river basins. Frontiers of Earth Science 2016, 10 (1), 159-170. https://doi.org/10.1007/s11707-015-0497-4
Zhao, T. T. G.; Shao, Q. X.; Zhang, Y. Y., Deriving flood-mediated connectivity between river channels and floodplains: data-driven approaches.Scientific Reports 2017, https://doi.org/10.1038/srep43239
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学术专著
[1] Wang, H.; Lei, X. H.; Guo, X. N.; Jiang, Y. Z.; Zhao, T. T. G.; Wang, X.; Liao, W. H., Multi-Reservoir System Operation Theory and Practice. 2016; Vol. 16, p 1-110. https://doi.org/10.1007/978-3-319-22924-9_1
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科研项目
国家自然科学基金青年项目，基于多尺度水文预报的水库动态调度模型及其不确定性分析，2015年至2016年，主持
武汉大学水资源与水电工程科学国家重点实验室开放基金项目，CFSv2全球季节预报对我国降水适用性研究，2017年至2018年，主持
中组部海外高层次青年项目，2018年至2021年，主持
国家自然科学基金面上项目，全球气象模型数据驱动下我国月尺度降水集合预报研究，2020年-2023年，主持
广东省“珠江人才计划”引进创新创业青年团队项目，面向枢纽性和控制性水利工程的水资源精细化模拟与调控新技术研发，2020年-2025年，主持
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学术兼职
美国地球物理学会（AGU）、亚洲-大洋洲地理学联合会（AOGS）、澳大利亚-新西兰模型与模拟学会（MSSANZ）会员
国际期刊审稿人，包括Engineering，Water Resources Research，Hydrology and Earth System Sciences，WIREs Water，Energy Conversion and Management，IEEE Transactions on Control Systems Technology，Journal of Geophysical Research: Atmospheres，Journal of Hydrology，Journal of Water Resources Planning and Management-ASCE，Journal of Hydrologic Engineering-ASCE，Journal of Cleaner Production，Journal of Hydrometeorology，Journal of Hydroinformatics，Journal of Hydro-environmental Research，International Journal of Electrical Power & Energy Systems，International Journal of Climatology，International Journal of Water Resources Development，International Journal of Environmental Research and Public Health，China Scientific Data，Environmental Modeling & Software，Frontiers of Engineering Management，Science China Earth Sciences，Stochastic Environmental Research and Risk Assessment，Environmental Earth Sciences，South African Journal of Chemical Engineering，Hydrological Sciences Journal， Water Resources Management，Water Science and Technology，Water Policy，Water，Atmosphere，SN Applied Sciences，Complexity，IEEE Access等30余个刊物
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获奖及荣誉
2008年，北京市优秀毕业生
2013年，北京市优秀博士毕业生
2016年，水利部大禹水利科技一等奖
2016年，湖北省科技进步一等奖
2017年，澳大利亚联邦科学工业组织学术影响力奖章（CSIRO Impact from Science Award）
2018年，美国土木工程师学会优秀评阅人（ASCE Outstanding Reviewer）
2019年，科技部重点领域“河口近岸环境分析与生态化学”创新团队核心成员
2020年，广东省“珠江人才计划”引进创新创业青年团队项目负责人
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课题组新闻
陈浩玲的论文Modeling power loss during blackouts in China using non-stationary generalized extreme value distribution，发表在Elsevier旗下的Energy（https://doi.org/10.1016/j.energy.2020.117044）
黄泽青的论文Differing roles of base and fast flow in ensemble seasonal streamflow forecasting: an experimental investigation，发表在Elsevier旗下的Journal of Hydrology（https://doi.org/10.1016/j.jhydrol.2020.125272）
雍燕兰的论文《水文集合预报检验指标调研及其在西江流域季节降水预报中的应用》，发表在国家水文局主办的《水文》（https://doi.org/10.19797/j.cnki.1000-0852.**）
黄泽青的论文《北美多模型集合预报实验（NMME）全球降水预报对长江上游流域夏季降水适用性研究》，发表在国家水文局主办的《水文》（https://doi.org/10.19797/j.cnki.1000-0852.**）
黄泽青、陈浩玲荣获研究生国家奖学金
陈浩玲参加首届长江国际青年创新论坛，“ENSO遥相关和GCM季节降水预报关联关系识别分析”报告荣获二等奖
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学术寄语
如果您对 "预报-调度-决策" 感兴趣，想攻读硕士、博士研究生，或是开展合作研究，请直接与我联系
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