Hydroclimatic varaibility

Natural Disasters and Risks

High Mountain Areas

Stochastic & Statistical Hydrology

Climate Change

Big Data and Artificial Intelligence

Got the Ph.D of Hydrology & Water Resources in 2011 from the Department of Hydrosciences, Nanjing University, China 

• 2018-Present: Professor, Institute of Geographic Sciences and Natural Resources Research, CAS

• 2023-Present: Vice-Director, Yarlung Tsangpo Grand Canyon Water Cycle Field Monitoring and Scientific Research Station, Tibetan Autonomous Region, China

• 2023-Present: Vice-Director, Hydrology and Water Resources Section, Water Resources Bureau of Tibetan Autonomous Region, China

• 2022-Present: Member of the Russian Science Foundation Expert Councils
• 2021-Present: PI, Key Laboratory of Compound and Chained Natural Hazards, Ministry of Emergency Management of China

• 2021-Present: Visiting Professor, Universiti Malaysia Terengganu

• 2021-Present: Visiting Professor, Taiyuan University of Technology

• 2017-2018: Visiting Scholar, Department of Atmospheric Sciences, University of Washington

• 2017-Present: Editor of 《Natural Hazards Research》, and 《Hydrology》

• 2015-2017: Associate Professor, Institute of Geographic Sciences and Natural Resources Research, CAS

• 2012-2014: Assistant Professor, Institute of Geographic Sciences and Natural Resources Research, CAS

Presently supervise nine graduate students, with the topics of hydroclimatic vairiability, hydrological modeling, water-related disasters forecating and warning, urban flooding management.

“Dayu” Science and Technology Progress Award, granted by the Ministry of Water Resources of China (2020); Member of the Youth Innovation Promotion Association, CAS (2017); Top Ten Outstanding Youth Paper Award, the Fourteenth China Water Forum (2016); Science and Technology Progress Award, granted by the Tibet Province Government, China (2015); “Bingwei” Young Talent Award, Chinese Academy of Sciences (2014)

1. Ren Z., Y.F. Sang*, P. Cui, D. Chen, Y. Zhang, S. Sun, 2024. Temporal scaling characteristics of sub-daily precipitation in Qinghai-Tibet Plateau. Earth’s Future, DOI: 10.1029/2024EF004417
2. Zhu Y.X., Y.F. Sang*, B. Wang, A. Lutz, S. Hu, D. Chen, 2023. Heterogeneity in spatiotemporal variability of High Mountain Asia's runoff and its underlying mechanisms. Water Resources Research, DOI: 10.1029/2022WR032721
3. Shahbaz A., Y.F. Sang*, 2023. Implementing rainwater harvesting systems as a novel approach for saving energy in flat urban areas. Sustainable Cities and Society, DOI: 10.1016/j.scs.2022.104304
4. Huang Z., Y.F. Sang*, D. Chen, V.P. Singh, 2023. Clarification of dominating drivers for streamflow changes in the upper reach of Mekong River Basin. Journal of Hydrology: Regional Studies, DOI: 10.1016/j.ejrh.2023.101456
5. Niu J., P. Xie, Y.F. Sang*, L. Zhang*, Y. Zhu, B. Sivakumar, D. Chen, 2023. Quantification of long-range dependence in hydroclimatic time series: a method-comparison study. Journal of Applied Meteorology and Climatology, 62(12), 1921-1942. DOI: 10.1175/JAMC-D-23-0129.1
6. Xie P., J. Huo, Y.F. Sang*, Y. Li*, J. Chen, Z. Wu, 2022. Correlation coefficient-based information criterion for quantification of dependent characteristics in hydrological time series. Water Resources Research, DOI: 10.1029/2021WR031606
7. Balti H.*, A.B. Abbes*, N. Mellouli, I.R. Farah, Y.F. Sang*, M. Lamolle, 2022. Multidimensional Architecture using a Massive and Heterogeneous Data: Application to Drought Monitoring, Future Generation Computer Systems, DOI: 10.1016/j.future.2022.05.01
8. Chan F.K.S.*, W.Y. Chen, X. Gu, Y. Peng, Y.F. Sang, 2022. Trnsformation towarss resilient sponge city in China. Nature Reviews Earth & Environment, 3(2), 99-101.
9. Sajadi P., Y.F. Sang*, M. Gholamnia, S. Bonafoni, 2022. Evaluation of the landslide susceptibility and its spatial difference in the whole Qinghai-Tibetan Plateau region by five learning algorithms. Geoscience Letters, 9(1), 1-25. DOI : 10.1186/s40562-022-00218-x
10. Chan F.K.S.*, W.Y. Chen*, Y.F. Sang, D.Y. Chen, W. Huang, W.Q. Chen, J. Griffiths, J. Li, Y. Peng, X. Cai, J. He, X. Gu, Y, Qi, X. Lu, Y. Xu, Z. Wang, P.Y.K. Chau, M. Tan-Mullines, Y.G. Zhu, 2021. Build in prevention and preparedness to improve climate resilience in coastal cities: lessons from China’s GBA. One Earth, /doi.org/10.1016/j.oneear.2021.09.016
11. Du L., X. Li, M. Yang*, B. Sivakumar, Y. Zhu, X. Pan, Z. Li, Y.F. Sang*, 2021. Assessment of complexity of precipitation variability in Beijing using identified optimal entropy metrics. Stochastic Environmental Research and Risk Assessment, doi.org/10.1007/s00477-021-02116-8
12. Sulaiman M.S., Q.Y. Goh, Y.F. Sang*, B. Sivakumar, A. Ali, N. Rasit, M.M. Abood, 2021. Development of river morphologic stability index (RMSI) to assess mountain river systems. Journal of Hydrology-Regional Studies, doi.org/10.1016/j.ejrh.2021.100918
13. Sajadi P., Y.F. Sang*, M. Gholamnia, S. Bonafoni, L. Broccac, B. Pradhan, A. Singh, 2021. Performance Evaluation of Long NDVI Timeseries from AVHRR, MODIS and Landsat Sensors over Landslide-Prone Locations in Qinghai-Tibetan Plateau. Remote Sensing, doi.org/10.3390/rs13163172 
14. Wang L., P. Xie*, C.Y. Xu*, Y.F. Sang, J. Chen, T. Yu, 2021. A framework for determining lowest navigable water levels with nonstationary characteristics. Stochastic Environmental Research and Risk Assessment, doi.org/10.1007/s00477-021-02058-1
15. Li X.X., Y.F. Sang*, B. Sivakumar, L.A. Gil-Alana, 2021. Detection of trend types in surface air temperature in China. Journal of Hydrology, doi.org/10.1016/j.jhydrol.2021.126061
16. Sang Y.F.*, B. Sivakumar, Y. Zhu, 2021. Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales. Journal of Hydro-Environment Research, doi.org/10.1016/j.jher.2021.01.005
17. Liu W., S. Wang, Y.F. Sang, L. Ran, Y. Ma, 2021. Effects of upstream large reservoir operation on channel cross-section changes in the lower Yellow River. Geomorphology, doi.org/10.1016/j.geomorph.2021.107768
18. Hu Z., Z. Zhang, Y.F. Sang, J. Qian, W. Feng, X. Chen, Q. Zhou, 2021. Temporal and spatial variabilities in the terrestrial water storage over Central Asia based on multiple satellite datasets and global hydrological models. Journal of Hydrology, doi.org/10.1016/j.jhydrol.2021.126013
19. Hu J., Y. Liu, Y.F. Sang*, C.M. Liu, V.P. Singh, 2021. Precipitation variability and its response to urbanization in the Taihu Lake Basin. Theoretical and Applied Climatology, doi.org/10.1007/s00704-021-03597-x
20. Xie P.*, Wu L., Y.F. Sang*, FKS Chan, J. Chen, Z. Wu, Y. Li, 2021. Correlation coefficient-based method for the identification of periodicities in hydrologic time series. Geoscience Letters, doi.org/10.1186/s40562-021-00183-x
21. Sajadi P., A. Singh, Y.F. Sang*, S. Mukherjee, K. Chapi, 2021. Assessing the key drivers of stream network configuration dynamics for tectonically active drainage basins using multitemporal satellite imagery and statistical analyses. Geocarto International, doi.org/10.1080/10106049.2021.1871668
22. Zhu Y.X., Y.F. Sang*, D. Chen, B. Sivakumar, D. Li, 2020. Effects of the South Asian summer monsoon amomaly on the intra-annual variation of rainfall on the Central-Shoutheast Tibetan Plateau. Environmental Research Letters, doi.org/10.1088/1748-9326/abc71b
23. Balti H., A.B. Abbes, N. Mellouli, I.R. Farah, Y.F. Sang*, M. Lamolle, 2020. A review of Drought Monitoring with Big Data: Issues, Methods, Challenges and Research Directions. Ecological Informatics, doi.org/10.1016/j.ecoinf.2020.101136.
24. Yang M.Y., Y.F. Sang*, B. Sivakumar, F. Chan, 2020. Challenges in urban stormwater management in Chinese cities: A hydrologic perspective. Journal of Hydrology, 591, 125314.
25. Sajadi P., A. Singh, S. Mukherjee*, Y.F. Sang*, K. Chapi, M. Salari, 2020. Drainage network extraction and morphometric analysis in an Iranian Basin integrating factor analysis and geospatial techniques. Geocarto International, doi.org/10.1080/10106049.2020.1750060
26. Sang Y.F.*, D.L. Chen, T. Gong, 2020. What caused the decline of water level of Yamzho Yumco during 1975-2012 in the Southern Tibetan Plateau? Journal of Geophysical Research-Atmospheres, doi: 10.1029/2019JD031121
27. Sang Y.F.*, B. Sivakumar, Y. Zhang, 2020. Is there an underestimation of long-term variability of streamflow across the continental United States? Journal of Hydrology, 581, 124365.
28. Sang Y.F.*, Q. Fu, V.P. Singh, Y.X. Zhu, X.X. LI, 2020. Does summer precipitation process over China exhibit significant periodicities? Journal of Hydrology, 581, 124289.
29. Xie P., H. Gu, Y.F. Sang*, Z. Wu, X. Li, 2019. Comparison of different methods for detecting change points in hydroclimatic time series. Journal of Hydrology, doi: 10.1016/j.jhydrol.2019.123973
30. Wu Z., P. Xie*, Y.F. Sang*, J. Chen, W. Ke, J. Zhao, Y. Zhao, 2019. Moving correlation coefficient-based method for the detection of jump points in hydroclimate time series. Stochastic Environmental Research and Risk Assessment, doi: 10.1007/s0047-019-01727-6
31. Dong Q.J., X. Zhang, U. Lall, Y.F. Sang, P. Xie, 2019. An improved nonstationary model for flood frequency analysis and its implication to the Three Gorges Dam, China. Hydrological Sciences Journal, Doi: 10.1080/02626667.2019.1596274
32. Rhif M.*, A.B. Abbes, I.R. Farah, B. Martinea, Y.F. Sang*, 2019. A review of wavelet transform application for/in non-stationary time-series analysis. Applied Sciences, Doi: 10.3390/app9071345
33. Hu J., Y. Liu, Y.F. Sang*, 2019. Complexity analysis of precipitation process based on sample entropy in the Taihu Lake Basin, China. Entropy, 21, 48; doi:10.3390/e21010048
34. Sang Y.F.*, V.P. Singh, K. Xu, 2019. Evolution of the IOD-ENSO relationship on multi-time scales. Theoretical and Applied Climatology, DOI: 10.1007/s00704-018-2557-7
35. Sang Y.F.*, P. Xie, W.M. Cheng, Y.C. Zhang, L. Guo, Y.D. Sun, 2019. Mountain torrent control in China: Hydrologic nonstationarity is a challenging problem. Journal of Hydrologic Engineering, 24(3): 02519001; DOI: 10.1061/(ASCE)HE.1943-5584.0001751
36. Sang Y.F.*, 2018. Spatial heterogeneity in the occurrence probability of rainstorms over China. Entropy, 20, 958; doi:10.3390/e20120958
37. Zhao J.Y., P. Xie*, M. Zhang, Z.Y. Wu, Y.F. Sang*, 2018. Nonstationary Statistical Approach for Designing LNWT in Inland Waterways: A Case Study in the downstream of the Lancang River. Stochastic Environmental Research and Risk Assessment, DOI: 10.1007/s00477-018-1606-1
38. Xie P., Y. Zhao, Y.F. Sang*, H. Gu, Z. Wu, V.P. Singh, 2018. Gradation of significance level of trends in precipitation over China. Hydrology Research, DOI: 10.2166/nh.2018.187.
39. Xie P., Z. Wu, Y.F. Sang*, H. Gu, Y. Zhao, Vijay P. Singh, 2018. Evaluation of the significance of abrupt changes in precipitation and runoff process in China. Journal of Hydrology, 560, 451-460.
40. Sang Y.F.*, V.P. Singh, Z. Hu, P. Xie, X. Li, 2017. Entropy-aided evaluation of meteorological droughts over China. Journal of Geophysical Research-Atmospheres, 123. DOI: 10.1002/2017JD026956.
41. Sang Y.F.*, F. Sun, V.P. Singh, P. Xie, J. Sun, 2018. A discrete wavelet spectrum approach to identifying non-monotonic trend pattern of hydroclimate data. Hydrology and Earth System Sciences, 22, 757-766.
42. Wang T., F. Sun, J. Xia, W. Liu, Y.F. Sang, 2018. An experimental detrending approach to attributing change of pan evaporation in comparison with the traditional partial differential method. Journal of Hydrology, DOI: 10.1016/j.jhydrol.2018.07.021
43. Liu W., F. Sun, Y. Li, G. Zhang, Y.F., Sang, J. Liu, H. Wang, P. Bai, 2018. Investigating basin-scale water budget dynamics in 18 rivers across Tibetan Plateau through multiple datasets. Hydrology and Earth System Sciences, 22(1), 351-371.
44. Massari C., C.H. Su, L. Brocca, Y.F., Sang, L. Ciabatta, D. Ryu, W. Wagner, 2017. Near real time de-noising of satellite-based soil moisture retrievals: an intercomparison among three different techniques. Remote Sensing of Environment, 198, 17-29.
45. Liu Y., Y.F. Sang*, X. Li, J. Hu, K. Liang, 2017. Long-Term Streamflow Forecasting Based on Relevance Vector Machine Model. Water, 9(1), 9, doi:10.3390/w9010009.
46. Mohammadi M., Z. Abdollahi, M. Forozanfard, S.E. Jamali, Y.F. Sang, 2017. Trend variations of water balance components in arid and semi-arid (Khorasan province, Iran). Azarian Journal of Agriculture, 4(3), 59-68.
47. Zhao Y., P. Xie, Y.F. Sang*, H. Gu, Z. Wu, X. Lei, 2017. Principle of correlation coefficient-based classification of hydrological trend and its verification. Chinese Science Bulletin, 62(26), 3089-3097.
48. Sang, Y.F.*, X. Ping, H. Gu, X. Li, 2017. Discussion on several major issues in the studies of hydrological nonstationarity. Chinese Science Bulletin, 62(04), 254-261.
49. Sang, Y.F.*, V.P. Singh, T. Gong, K. Xu, F. Sun, C. Liu, W. Liu, R. Chen, 2016. Precipitation variability and response to changing climatic condition in the Yarlung Tsangpo River basin, China. Journal of Geophysical Research-Atmospheres, 121(15), 8820-8831.
50. Sang, Y.F.*, M. Yang, 2016. Urban waterlogs control in China: more effective strategies and actions are needed. Natural Hazards, 85(2), 1291-1294.
51. Yang, M., Y.F., Sang*, C. Liu, Z. Wang, 2016. Discussion on the Choice of Decomposition Level for Wavelet Based Hydrological Time Series Modeling. Water, 8, 197, doi:10.3390/w8050197.
52. Liu W., L. Wang, J. Zhou, Y. Li, F. Sun, G. FU, X, Li, Y.F. Sang, 2016. A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method. Journal of Hydrology, 538, 82-95.
53. Sang Y.F.*, V.P. Singh, F. Sun, Y. Chen, Y. Liu, M. Yang, 2016. Wavelet-based hydrological time series forecasting. Journal of Hydrologic Engineering, 21(5), p.06016001.
54. Zhang J., F. Sun, J. Xu, Y. Chen, Y.F. Sang, C. Liu, 2015. Dependence of trends in and sensitivity of drought over China (1961–2013) on potential evaporation model, Geophysical Research Letters, 43(1), 206-213.
55. Sang Y.F.*, V.P. Singh, J. Wen, C.M. Liu, 2015. Gradation of complexity and predictability of hydrological processes. Journal of Geophysical Research – Atmospheres, 120(11), 5334-5343.
56. Sang Y.F.*, Z.G. Wang, C.M. Liu, 2015. Wavelet neural modeling for hydrologic time series forecasting with uncertainty evaluation. Water Resources Management, 29(6), 1789-1801.
57. Sang, Y.F.*, Wang Z.G., Liu C.M., 2014. Comparison of the MK test and EMD method for trend identification in hydrologic time series. Journal of Hydrology, 510, 293-298.
58. Sang Y.F.*, Liu C.M., Wang Z.G., Wen J., Shang L.Y., 2014. Energy-based wavelet de-noising of hydrologic time series. PLOS ONE, 9(10): e110733.
59. Sang Y.F., Wang Z.G., Liu C.M., 2014. Spatial and temporal variability of precipitation extrema in the Haihe River basin, China. Hydrological Processes, 28(3), 926-932.
60. Sang, Y.F.*, Wang Z.G., Liu C.M., Yu J.J., 2014. The impact of changing enviroments on the runoff regime of the arid Heihe River Basin, China. Theoretical and Applied Climatology, 115(1-2), 187-195.
61. Sang Y.F., Wang Z.G., Liu C.M., Gong T.L., 2013. Temporal–Spatial Climate Variability in the Headwater Drainage Basins of the Yangtze River and Yellow River, China. Journal of Climate, 26, 5061–5071.
62. Sang Y.F.*, 2013. A review on the applications of wavelet transform in hydrologic timeseries analysis. Atmospheric Research, 122, 8-15.
63. Sang Y.F.*, Wang Z.G., Liu C.M., 2013. Discrete wavelet-based trend identification in hydrologic time series. Hydrological Processes, 27(14), 2021-2031.
64. Sang Y.F.*, Wang Z.G., Li Z.L., Liu C.M., Liu X.J., 2013. Investigation into the daily precipitation variability in the Yangtze River Delta, China. Hydrological Processes, 27(2), 175-185.
65. Sang Y.F.*, 2013, Improved wavelet modeling framework for hydrologic time series forecasting, Water Resources Management, 27(8), 2807-2821.
66. Sang Y.F.*, 2013. Wavelet entropy-based investigation into the daily precipitation variability in the Yangtze River Delta with rapid urbanization. Theoretical and Applied Climatology, 111(3), 361-370.
67. Sang Y.F.*, Wang D., Wu J.C., Zhu Q.P., Wang L., 2013. Improved continuous wavelet analysis on the variation of hydrologic time series’ dominant period. Hydrological Sciences Journal, 58(1), 118-132.
68. Sang, Y.F.*, Shang L.Y., Wang Z.G., Liu C.M., Yang M.G., 2013. Bayesian-combined wavelet regressive modeling for hydrologic time series forecasting. Chinese Science Bulletin, 58(31), 3796-3805.
69. Sang Y.F.*, Wang Z.G., Liu C.M., 2012. Period identification in hydrologic time series using empirical mode decomposition and maximum entropy spectral analysis. Journal of Hydrology, 424, 154-164.
70. Sang Y.F.*, 2012. A practical guide to discrete wavelet decomposition of hydrologic time series. Water Resources Management, 26(11), 3345-3365.
71. Sang Y.F.*, Wang Z.G., Liu C.M., 2012. Spatial and temporal variability of daily temperature during 1961-2010 in the Yangtze River basin, China. Quaternary International, 304, 33-42.
72. Sang Y.F.*, Wang Z.G., Liu C.M., 2012. What factors are responsibille for the Beijing storm? Natural Hazards, 65(3), 2399-2400.
73. Sang Y.F.*, 2012. Spatial and temporal variability of daily temperature in the Yangtze River Delta, China. Atmospheric Research, 12, 12-24.
74. Sang Y.F., Wang Z.G., Li Z.L., 2012. Entropy Aided Detection of Abrupt Climate Change: A Case study in the Haihe River Basin, China. Entropy, 14(7), 1274-1284.
75. Sang Y.F.*, Wang D., Wu J.C., Zhu Q.P., Wang L., 2011. Wavelet-Based Analysis on the Complexity of Hydrologic Series Data under Multi-Temporal Scales. Entropy, 3(1), 195-210.
76. Sang Y.F.*, Wang D., Wu J.C., Zhu Q.P., Wang L., 2011. Human impacts on runoff regime of the middle and lower Yellow River. Water Science and Engineering, 4(1), 36-45.
77. Sang Y.F.*, Wang D., Wu J.C., 2010. Uncertainty Analysis of Decomposition Level Choice in Wavelet Threshold De-Noising. Entropy, 12(12), 2386-2396.
78. Sang Y.F.*, Wang D., Wu J.C., 2010. Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising. Entropy, 12(6), 1149-1513.
79. Sang Y.F.*, Wang D., Wu J.C., 2010. Probabilistic Forecast and Uncertainty Assessment of Hydrologic Design Values Using Bayesian Theories. Human and Ecological Risk Assessment, 16(5), 1184-1207.
80. Sang Y.F.*, Wang D., Wu J.C., Zhu Q.P., Wang L., 2009. The relation between periods' identification and noises in hydrologic series data, Journal of Hydrology, 368(1-4), 165-177.
81. Sang Y.F.*, Wang D., Wu J.C., Zhu Q.P., Wang L., 2009. Entropy-Based Wavelet De-noising Method for Time Series Analysis. Entropy, 11(4), 1123-1147.

Detection and attribution of hydroclimatic variability
Stochastic & statistical hydrology
hydrological nonstationary
Time series analysis
Complexity evaluation and gradation
Hydrological simulation and forecast
Climate change and its impacts
Water resources management
Hydrological risk assessment
Natural disasters control

University of Washington

Taxes A&M University

University of Hawaii at Manoa

Utrecht University

University of Gothenbur

University Paris 8

Indian Institute of Technology Bombay

National Research Council, Italy

University of Perugia

University of Nottingham Ningbo China

已指导学生

李鑫鑫  博士研究生  070501-自然地理学  

现指导学生

朱艳欣  博士研究生  070501-自然地理学  

任智慧  博士研究生  070501-自然地理学  

石嘉丽  博士研究生  070501-自然地理学  

李珠  博士研究生  070501-自然地理学  

• High-performance Integrated Hydrodynamic Modelling Framework for Hydrogeological Hazard Chains in High Mountain Areas. National Natural Science Foundation of China (NSFC), International Scientist Cooperation and Exchanges (2023-2025)
• Cross-basin and cross-regional mega-drought scenario simulation and intelligent defense. National Key Research and Development Program of China (2023-2025)
• Mountain Flooding Disasters and Risk Management on the Qinghai-Tibetan Plateau. The Second Expedition Project of the Pan-Tibetan Plateau (2020-2024)
• Entropy-Based Research on the Spatiotemporal Variability of Rainfall Extremes in China. National Natural Science Foundation of China (NSFC) (2020-2023)  
• Regional hydro-climatic extreme events and their socioeconomic risks. National Key Research and Development Program of China (2020-2024)
• Changes of Climate and Water Resources in Southeast Asia, CAS (2018-2022)
• Climate-Land Surface-Hydrological Process and Extreme Water Events at Global Scales and the Adaptation Measures for China, National Key Research and Development Program (2017-2021)
• Nonstationary Variability of Runoff Process in the Yarlung Tsangpo River Basin. National Natural Science Foundation of China (NSFC) (2017-2019)