Dr. Haiyun Shi currently holds the position of Associate Professor in School of Environmental Science & Engineering at Southern University of Science and Technology, Shenzhen, China. He got his Ph.D. degree at Tsinghua University, Beijing, China. His research interests include digital watershed, hydroinformatics, climate change, hydrological extremes (floods and droughts), and sustainable development. He has been the PI/Co-PI of more than 10 research projects. He has published over 20 journal papers and 3 book chapters. He was invited as the reviewer of over 20 international journals, including Water Resources Research, Journal of Hydrology and Geophysical Research Letters.
Associate Professor, School of Environmental Science and Engineering, Southern University of Science and Technology
2008.09~2013.07: Ph.D., Department of Hydraulics and River Dynamics, Tsinghua University
2004.09~2008.07: Bachelor of Science in Water Resources and Hydropower Engineering, Tsinghua University
2018.07-present: Associate Professor, School of Environmental Science and Engineering, Southern University of Science and Technology
2013.12~2018.06: Department of Civil Engineering, University of Hong Kong, Research Assistant / Postdoctoral / Senior Research Assistant
2012.01~2013.04: Department of Civil Engineering, University of Hong Kong, Visiting Research Assistant
Awards and honors
2016: Awarded by the Young Scientists of the 2017 European Union Earth Science Alliance
2015: Awarded the Outstanding Paper Award of the 2015 Annual Conference of China Water Conservancy Society
2014: Awarded the Xiangjiang Scholar Award
2009: Excellent student cadre of Tsinghua University
2009: Tsinghua University Comprehensive Third-class Scholarship
2005, 2006, 2007: Tsinghua University Academic Excellence Second Class Scholarship
Guest Editor of the Special Issue entitled “Natural Hazards Challenges to Civil Engineering” in Advances in Civil Engineering
Guest Editor of the Special Issue entitled “Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination, and Decision-Support Systems” in Hydrology
Session Convener of HS14 entitled “Exploration of Atmospheric Water Resources” in AOGS (Asia Oceania Geosciences Society) 2019 Annual Meeting
Reviewer of over 20 international journals (e.g., 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, and Water Resources Research)
Outstanding Student Poster and PICO (OSPP) Award Judge of EGU General Assembly 2017
Outstanding Student Paper Award (OSPA) Judge of AGU Fall Meeting 2017
International academic community
American Geophysical Union (AGU)
Asia Oceania Geosciences Society (AOGS)
European Geosciences Union (EGU)
International Association for Hydro-Environment Engineering and Research (IAHR)
Digital Basin and Water Informatics; Extreme Hydrological Events under Climate Change; Sustainable Development of Water Resources
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.
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.
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.
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.
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.
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.
9. 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.
10. 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.
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.
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. Shi H.Y., Fu X.D. *, Wang Y.J., Wang G.Q., Gong T.L., 2012. Estimating potential evaporation in Lhasa River basin: improved Dalton model. Journal of Basic Science and Engineering, 20(2), 219-227. DOI: 10.3969/j.issn.1005-0930.2012.02.006 (EI, in Chinese)
18. Shi H.Y., Fu X.D. *, Wang H., Gong T.L., 2011. Modeling and prediction of water loss and soil erosion for high-relief mountainous region: case study of Qamdo region. Journal of Basic Science and Engineering, 19(S1), 17-27. DOI: 10.3969/j.issn.1005-0930.2011.s1.003 (EI, in Chinese)
19. Chen J. *, Shi H.Y., Sivakumar B., Peart M.R., 2016. Population, water, food, energy and dams. Renewable & Sustainable Energy Reviews, 56, 18-28. DOI: 10.1016/j.rser.2015.11.043
20. 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.
21. Li T.J. *, Li J.Y., Shi H.Y., Zhang A., Guo D.W., 2013. A smartphone-based interactive flood warning system for ungauged mountainous regions. Journal of Sichuan University (Engineering Science Edition), 45(1), 23-27. DOI: 10.15961/j.jsuese.2013.01.007 (EI, in Chinese)
22. Zhang L., Fu X.D. *, Wang G.Q., Shi H.Y., Li T.J., 2013. Structural self-similarity of river networks in the middle Yellow River basin. Journal of Tsinghua University (Science and Technology), 53(1), 24-28. DOI: 10.16511/j.cnki.qhdxxb.2013.01.022 (EI, in Chinese)
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.