Name: SANG Yanfang

Current Appointment: Professor

Education:

2006-2011 Ph.D of Hydrology & Water Resources in the Department of Hydrosciences, Nanjing University, China

Areas of Specialization:

Hydrology and Water Resources

Hydrological Nonstationary

Stochastic & Statistical Hydrology

Climate Change

Natural Disasters and Risks

Big Data and Artificial Intelligence

Academic Awards：

Member of the Youth Innovation Promotion Association, CAS (2017); 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)

Society Appointments:

Editor of the Hydrology, International Journal of Water Conservancy and Environmental Engineering, Progress in Human Computer Interaction, and Computer Simulation in Application

Representative Publications:

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.

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.

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

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

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

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

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

Sang Y.F.*, 2018. Spatial heterogeneity in the occurrence probability of rainstorms over China. Entropy, 20, 958; doi:10.3390/e20120958

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, 2018. 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. Mountain Flooding Disasters and Risk Management on the Tibetan Plateau. The Second Expedition Project of the Pan-Tibetan Plateau (2020-2024)

2. Entropy-Based Research on the Spatiotemporal Variability of Rainfall Extremes in China. National Natural Science Foundation of China (2020-2023)  

3. Regional hydro-climatic extreme events and their socioeconomic risks. National Key Research and Development Program of China (2020-2024)

4. Changes of Climate and Water Resources in Southeast Asia, CAS (2018-2022)

5. 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)

Office Address:

Room A0936, Building No. A, IGSNRR

11A Da Tun Road

An Wai, Beijing 100101

People’s Republic of China

Telephone: 86-10-6488-0471

Email: sangyf@igsnrr.ac.cn

Updated on Jan. 6, 2020