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副教授

史海匀

0755-88018870

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  • 科研
  • 教学
  • 发表论著

史海匀博士现任南方科技大学环境科学与工程学院副教授,清华大学本科、博士毕业。曾在香港大学从事博士后/高级研究助理工作,主要研究方向为数字流域、水信息学、气候变化、极端水文事件(洪水和干旱)、水资源可持续发展等。主持或参与国家科技支撑计划、国家自然科学基金等重要科研项目10余项。在Journal of Hydrology、Hydrological Processes、Science of the Total Environment等国际期刊上发表SCI论文20余篇,另有专著章节3部。受邀为Water Resources Research、Journal of Hydrology、Geophysical Research Letters等20余种国际期刊的审稿人。

 

目前任职
南方科技大学环境科学与工程学院,副教授

 

教育背景
2008.09~2013.07: 清华大学,水力学及河流动力学专业,博士
2004.09~2008.07: 清华大学,水利水电工程专业,学士

 

工作经历
2018.07至今: 南方科技大学环境科学与工程学院,副教授
2013.12~2018.06: 香港大学土木工程系,研究助理/博士后/高级研究助理
2012.01~2013.04: 香港大学土木工程系,访问研究助理

 

获奖情况及荣誉
2016: 荣获欧洲地球科学联盟2017年会的青年科学家参会资助
2015: 荣获中国水利学会2015年学术年会优秀论文奖
2014: 荣获香江学者奖
2009: 清华大学优秀学生干部
2009: 清华大学综合三等奖学金
2005, 2006, 2007: 清华大学学业优秀二等奖学金

 

学术兼职
SCI期刊Advances in Civil Engineering的特刊“Natural Hazards Challenges to Civil Engineering”的客座编辑
国际期刊Hydrology的特刊“Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination, and Decision-Support Systems”的客座编辑
亚洲大洋洲地球科学学会(Asia Oceania Geosciences Society, AOGS)2019年会分会场召集人
20余种国际期刊的审稿人,包括Geophysical Research Letters, Journal of Environmental Management, Journal of Hydro-environment Research, Journal of Hydrologic Engineering, Journal of Hydrology, Land Degradation & Development, Scientific Reports, Stochastic Environmental Research and Risk Assessment, Water Resources Management, Water Resources Research等
欧洲地球科学联盟2017年会的Outstanding Student Poster and PICO (OSPP) Award评审
美国地球物理联盟2017年会的Outstanding Student Paper Award (OSPA)评审


参加的国际学术团体
美国地球物理联盟American Geophysical Union (AGU)
亚洲大洋洲地球科学学会Asia Oceania Geosciences Society (AOGS)
欧洲地球科学联盟European Geosciences Union (EGU)
国际水文环境工程与研究协会International Association for Hydro-Environment Engineering and Research (IAHR)

 

研究领域
数字流域与水信息学; 气候变化下的极端水文事件研究; 水资源可持续发展

 

研究领域
数字流域与水信息学; 气候变化下的极端水文事件研究; 水资源可持续发展

本科生课程《水利水电工程概论》

期刊论文
1. Wang K.Y., Shi H.Y. *, Chen J. *, Li T.J., 2019. An improved operation-based reservoir scheme integrated with VIC model for multiyear and multipurpose reservoirs. Journal of Hydrology.
DOI: 10.1016/j.jhydrol.2019.02.006
2. Liu S.N., Shi H.Y. *, 2019. A recursive approach to long-term prediction of monthly precipitation using genetic programming. Water Resources Management, 33(3), 1103-1121.
DOI: 10.1007/s11269-018-2169-0
3. Li J.Y., Li T.J., Liu S.N., Shi H.Y. *, 2018. An efficient method for mapping high-resolution global river discharge based on the algorithms of drainage network extraction. Water, 10(4), 533.
DOI: 10.3390/w10040533
4. Shi H.Y. *, Chen J., 2018. Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China. International Journal of Climatology, 38(5), 2520-2537.
DOI: 10.1002/joc.5404
5. Shi H.Y., Chen J. *, Wang K.Y., Niu J., 2018. A new method and a new index for identifying socioeconomic drought events under climate change: a case study of the East River basin in China. Science of the Total Environment, 616-617, 363-375. DOI: 10.1016/j.scitotenv.2017.10.321
6. Zhang A., Shi H.Y. *, Li T.J. *, Fu X.D., 2018. Analysis of the influence of rainfall spatial uncertainty on hydrological simulations using the bootstrap method. Atmosphere, 9(2), 71.
DOI: 10.3390/atmos9020071
7. Shi H.Y. *, Chen J. *, Li T.J., Wang G.Q., 2017. A new method for estimation of spatially distributed rainfall through merging satellite observations, raingauge records, and terrain digital elevation model data. Journal of Hydro-environment Research. DOI: 10.1016/j.jher.2017.10.006
8. Shi H.Y. *, Li T.J., 2017. Estimating hydrological parameters based on rainfall patterns in river basins with no long-term historical observations. Journal of Hydrology, 553, 651-661.
DOI: 10.1016/j.jhydrol.2017.08.030
9. Shi H.Y., Li T.J., Wang G.Q., 2017. Temporal and spatial variations of potential evaporation and the driving mechanism over Tibet during 1961-2001. Hydrological Sciences Journal, 62(9), 1469-1482.
DOI: 10.1080/02626667.2017.1332416
10. Shi H.Y., Li T.J., Wei J.H., Fu W., Wang G.Q., 2017. Corrigendum to “Spatial and temporal characteristics of precipitation over the Three-River Headwaters region during 1961-2014” [J. Hydrol. Reg. Stud. 6 (2016) 52–65]. Journal of Hydrology: Regional Studies, 12, 413-414. DOI: 10.1016/j.ejrh.2017.03.004
11. Shi H.Y., Li T.J., Wei J.H., 2017. Evaluation of the gridded CRU TS precipitation dataset with the point raingauge records over the Three-River Headwaters region. Journal of Hydrology, 548, 322-332.
DOI: 10.1016/j.jhydrol.2017.03.017
12. Shi H.Y., Li T.J., Wei J.H., Fu W., Wang G.Q., 2016. Spatial and temporal characteristics of precipitation over the Three-River Headwaters region during 1961-2014. Journal of Hydrology: Regional Studies, 6, 52-65. DOI: 10.1016/j.ejrh.2016.03.001
13. Shi H.Y., Li T.J., Wang K., Zhang A., Wang G.Q., Fu X.D., 2016. Physically based simulation of the streamflow decrease caused by sediment-trapping dams in the middle Yellow River. Hydrological Processes, 30(5), 783-794. DOI: 10.1002/hyp.10649
14. Shi H.Y., Li T.J., Liu R.H., Chen J., Li J.Y., Zhang A., Wang G.Q., 2015. A service-oriented architecture for ensemble flood forecast from numerical weather prediction. Journal of Hydrology, 527, 933-942.
DOI: 10.1016/j.jhydrol.2015.05.056
15. Shi H.Y., Wang G.Q., 2015. Impacts of climate change and hydraulic structures on runoff and sediment discharge in the middle Yellow River. Hydrological Processes, 29(14), 3236-3246.
DOI: 10.1002/hyp.10439
16. Shi H.Y., Fu X.D., Chen J., Wang G.Q., Li T.J., 2014. Spatial distribution of monthly potential evaporation over mountainous regions: case of the Lhasa River basin, China. Hydrological Sciences Journal, 59(10), 1856-1871. DOI: 10.1080/02626667.2014.881486
17. Chen J., Shi H.Y., Sivakumar B., Peart M.R., 2015. Population, water, food, energy and dams. Renewable & Sustainable Energy Reviews, 56, 18-28. DOI: 10.1016/j.rser.2015.11.043
18. Zhang A., Li T.J., Si Y., Liu R.H., Shi H.Y., Li X., Li J.Y., Wu X., 2016. Double-layer parallelization for hydrological model calibration on HPC systems. Journal of Hydrology, 535, 737-747.
DOI: 10.1016/j.jhydrol.2016.01.024
19. 史海匀, 傅旭东, 王远见, 王光谦, 巩同梁, 2012. 拉萨河流域蒸发力估算: 改进道尔顿模型. 应用基础与工程科学学报, 20(2), 219-227. (EI : 20121915004180)
20. 史海匀, 傅旭东, 王皓, 巩同梁, 2011. 高山深谷地区水土流失模拟与预测: 以昌都地区为例. 应用基础与工程科学学报, 19(S1), 17-27. (EI: 20112714116101)
21. 李铁键, 李家叶, 史海匀, 张昂, 郭大卫, 2013. 基于智能手机互动的资料缺乏山区洪水预警系统. 四川大学学报(工程科学版), 45(1), 23-27. (EI: 20131416175057)
22. 张丽, 傅旭东, 王光谦, 史海匀, 李铁键, 2013. 黄河中游典型河网的结构自相似性分析. 清华大学学报(自然科学版), 53(1), 24-28. (EI: 20131416174970)

 

专著章节
1. Chen J., Shi H.Y., Sun L.Q., Niu J., 2016. Yangtze River Basin. In Singh V.P. (eds), Handbook of Applied Hydrology, Second Edition, Chapter 100. McGraw-Hill.
2. Chen J., Shi H.Y., Sun L.Q., Niu J., 2016. Yellow River Basin. In Singh V.P. (eds), Handbook of Applied Hydrology, Second Edition, Chapter 101. McGraw-Hill.
3. Wang G.Q., Fu X.D., Shi H.Y., Li T.J., 2015. Watershed sediment dynamics and modeling: a watershed modeling system for Yellow River. In Yang C.T. and Wang L.K. (eds), Advances in Water Resources Engineering, Handbook of Environmental Engineering, Volume 14, Chapter 1, 1-40. Springer Cham Heidelberg New York Dordrecht London. DOI: 10.1007/978-3-319-11023-3_1.