2006-2011Ph.D of Hydrology & Water Resources in the Department of Hydrosciences, Nanjing University, China
Areas of Specialization:
Hydrology and Water Resources
Stochastic & statistical hydrology
Detection and attribution
Time series analysis
Member of the Youth Innovation Promotion Association, CAS (2016); Top Ten Outstanding Youth Paper Award, the Fourteenth China Water Forum (2016); “Bingwei” Young Talent Award, Chinese Academy of Sciences (2014); Excellent Graduate Student Award, Nanjing University (2011); “Guanghua” Scholarship for Excellent Graduate Students, Nanjing University (2010); “Zhaoanzhong” Scholarship for Excellent Graduate Students, Nanjing University (2009); Outstanding Model of Graduate Students, Nanjing University (2009); “Guanghua” Scholarship for Excellent Graduate Students, Nanjing University (2008); Top Ten Outstanding Youth Paper Award, the Fifth China Water Forum (2007)
Editor of the International Journal of Water Conservancy and Environmental Engineering, Progress in Human Computer Interaction, Computer Simulation in Application, and Journal of Atmospheric & Earth Sciences
Sang Y.F.*, V.P. Singh, K. Xu, 2018. Evolution of the IOD-ENSO relationship on multi-time scales. Theoretical and Applied Climatology, DOI: 10.1007/s00704-018-2557-7
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
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.
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.
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.
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.
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.
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.
Sang, Y.F.*, M. Yang, 2016. Urban waterlogs control in China: more effective strategies and actions are needed. Natural Hazards, 85(2), 1291-1294.
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.
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.
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.
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.
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.
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.
Sang Y.F.*, 2013. A review on the applications of wavelet transform in hydrologic timeseries analysis. Atmospheric Research, 122, 8-15.
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.
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.
Sang Y.F.*, 2013, Improved wavelet modeling framework for hydrologic time series forecasting, Water Resources Management, 27(8), 2807-2821.
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.
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.
Sang Y.F.*, 2012. A practical guide to discrete wavelet decomposition of hydrologic time series. Water Resources Management, 26(11), 3345-3365.
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.
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.
Major Research Projects:
1. Nonstationary Variability of Runoff Process in the Yarlung Tsangpo River Basin. National Natural Science Foundation of China (2017-2019)
2. Changes of Climate and Water Resources in Southeast Asia, CAS (2018-2022)
3. 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)