职称:教授,博士生导师(专业学位、学术学位)
邮箱:lei.cheng@whu.edu.cn
研究方向:蒸散发机理、流域生态水文、水碳耦合
招生专业:水文与水资源/土木水利
招生类型:专业学位硕士、学术学位硕士、专业学位博士、学术学位博士
2002.09-2006.07 44118太阳成城集团水文与水资源工程专业,本科
2006.09-2011.07 北京师范大学水科学研究院环境科学专业,博士
2009.09-2011.03 美国伊利诺伊大学香槟分校周文德水系统实验室,访问学者
2011.08-2017.08 澳大利亚联邦科学与工业组织水土研究所,OCE 博士后
2017.09-至今 44118太阳成城集团,教授
《水文学原理》《水生态学》《水文预报》《生态水文学》
湖北省自然科学基金杰出青年项目. 南水北调中线水源地水资源多维度多尺度演变机理. (2022CFA094, 主持, 2023/01-2025/12)
科技部重点研发计划长江黄河等重点流域水资源与水环境综合治理(子题). 大型水库群汛期运行三阶段全景动态调控技术(2022YFC3202804,主持,2023/01-2026/06)
国家自然科学基金组织间合作研究NSFC-BRICS项目:气候变化对亚洲高原区典型河流径流情势影响的机理及时空演变特征研究(51961145104;主持;2020/01-2022/12)
国家自然科学基金重大项目:长江经济带水循环变化与中下游典型城市群绿色发展互馈影响机理及对策研究,课题2:长江流域水循环变化及上下游耦合关系与演变(41890822;主持;2019/01-2023/12)
国家自然科学基金-面上项目:广义蒸发互补关系在不同时空尺度上的变化机理研究(51879193;主持; 2019/01-2022/12)
科技部重点研发水资源高效利用专项(课题):河湖水系连通与水安全保障适配性评价(2018YFC0407202;主持;2018/07-2021/12)
科技部重点研发山洪灾害专项(子题):山洪模拟模型及设计洪水计算方法研究(2017YFC1502503;主持;2018/01-2020/12)
中国科协海智计划特聘专家(“海智专家”)(2023.1-2025.12)
中国水利经济研究会第十届理事会委员(2022 – 至今)
《水电能源》青年编委(2022 – 至今)
长江技术经济学会青年工作委员会秘书长(2021.12-)
《Journal of Hydrology- Regional Studies》副主编(2021.8 – 至今)
《Journal of Water and Climate Change》主编(2021 – 至今)
湖北省城市水土保持专业委员会理事(2021.6 – 至今)
智慧长江与水电科学湖北省重点实验室(中国长江电力股份有限公司)学术委员会委员(2020 – 至今)
1. 长江流域干旱演变规律与旱灾风险综合评估及应对方法,水利部长江水利委员会. 科技一等奖. 2022.6. (7/15)
2. 44118太阳成城集团第二届教师教学创新大赛三等奖, 2022.3
3. 水利部第七届水利青年科技英才, 2021.12.
4. 变化环境下梯级水库调度运行风险辨识及适应性调控关键技术. 湖北省人民政府, 湖北省科技进步奖, 一等奖, 2020.12.(9/10)
5. 澳大利亚和新西兰模拟与仿真协会青年科学家奖, 2019.12.
6.《水利学报》创刊60年最具人气论文, 2016.
7. 黄河上中游水沙变化趋势分析,黄河水利科学研究院科技进步二等奖, 2011.(5/10)
专著:
Brutasert W 著, 程磊, 张橹, 秦淑静 译. 蒸发原理与过程. 2021, 水利水电出版社. ISBN 978-7-5170-9660-3. 249 pp.
论文:
Cheng L., L. Zhang*, Y-P Wang, J. Canadell, F. Chiew, J. Bringer, L. Li, D. G. Miralles, S. Piao, and Y. Zhang, (2017). Recent increases in terrestrial carbon uptake at little cost to the water cycle. Nature Communications. doi: 10.1038/s41467-017-00114-5.
Cheng L.*, L. Zhang, F. Chiew, J. Canadell, F. Zhao, Y. Wang, X. Hu, and K. Lin, (2017). Quantifying the impacts of vegetation changes on catchment storage-discharge dynamics using paired catchment data. Water Resources Research. doi:10.1002/2017WR020600.
Cheng, L., L. Zhang*, and W. Brutsaert, (2016), Automated selection of “pure” baseflows from regular daily streamflow data: An objective algorithm, Journal of Hydrologic Engineering, doi: 10.1061/(ASCE)HE.1943-5584.0001427.
Cheng, L., L. Zhang*, Y. Wang, Q. Yu, D. Eamus, and A. O'Grady (2014), Impacts of elevated CO2, climate change and their interactions on water budgets in four different catchments in Australia, Journal of Hydrology, 519, Part B(0), 1350-1361, doi:10.1016/j.jhydrol.2014.09.020.
Cheng, L., L. Zhang*, Y. Wang, Q. Yu, and D. Eamus (2014), Quantifying the effects of elevated CO2 on water budgets by combining FACE data with an ecohydrological model, Ecohydrology, 7(6): 1574–1588, doi:10.1002/eco.1478.
Cheng, L.*, M. Yaeger, A. Viglione, E. Coopersmith, S. Ye, and M. Sivapalan (2012), Exploring the physical controls of regional patterns of flow duration curves - Part 1: Insights from statistical analyses, Hydrology and Earth System Sciences, 16(11), 4435-4446, doi:10.5194/hess-16-4435-2012.
Cheng, L., Z. Xu, D. Wang, and X. Cai* (2011), Assessing interannual variability of evapotranspiration at the catchment scale using satellite-based evapotranspiration data sets, Water Resources Research, 47, W09509, doi:10.1029/2011WR010636.
徐宗学*, 程磊. 分布式水文模型研究与应用进展. 水利学报, 2010, 41(9): 1009-1017.
Jing, Z., L. Cheng*, L. Zhang, Y. Wang, P. Liu, and X. Zhang, et. al., (2021), The dependence of ecosystem water use partitioning on vegetation productivity at the inter-annual time scale, Journal of Geophysical Research: Atmospheres, 126(16), e2020JD033756. https://doi.org/10.1029/2020JD033756.
Cheng, S., L. Cheng*, P. Liu, S. Qin, L. Zhang, and C. Xu, et. al., (2021), An analytical baseflow coefficient curve for depicting the spatial variability of mean annual catchment baseflow, Water Resour. Res., 57(8), e2020WR029529. doi.10.1029/2020WR029529.
Zhang, R., L. Cheng*, P. Liu, K. Huang, Y. Gong, and S. Qin, et. al., (2021), Effect of GCM credibility on water resource system robustness under climate change based on decision scaling, Adv. Water Resour., 158(2021), 104063.
Zhang, Y., L. Cheng*, L. Zhang, S. Qin, L. Liu, P. Liu, and Y. Liu (2022), Does non-stationarity induced by multiyear drought invalidate the paired-catchment method? Hydrol. Earth Syst. Sci., 26(24), 6379-6397. doi:10.5194/hess-26-6379-2022.
Cheng, S., L. Cheng*, S. Qin, L. Zhang, P. Liu, L. Liu, Z. Xu, and Q. Wang (2022), Improved Understanding of How Catchment Properties Control Hydrological Partitioning Through Machine Learning, Water Resour. Res., 58(4), e2021WR031412. 10.1029/2021WR031412.
Lei, X., L. Cheng*, L. Ye, L. Zhang, J. S. KIM, S. Qin, and P. Liu (2023), Integration of the generalized complementary relationship into a lumped hydrological model for improving water balance partitioning: A case study with the Xinanjiang model, J. Hydrol., 621, 129569. doi: https://doi.org/10.1016/j.jhydrol.2023.129569.
Su, H., L. Cheng*, Y. Wu, S. Qin, P. Liu, Q. Zhang, S. Cheng, and Y. Li (2023), Extreme storm events shift DOC export from transport-limited to source-limited in a typical flash flood catchment, J. Hydrol., 620, 129377. https://doi.org/10.1016/j.jhydrol.2023.129377.
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