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:
Hydroclimate
Natural Disasters and Risks
Climate Change
Big Data and Artificial Intelligence
Academic Awards：
“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)
Society Appointments:
Vice-Director, Yarlung Tsangpo Grand Canyon Water Cycle Field Monitoring and Scientific Research Station, Tibetan Autonomous Region, China
PI, Key Laboratory of Compound and Chained Natural Hazards, Ministry of Emergency Management of China
Member of the Russian Science Foundation Expert Councils
Editor of “Natural Hazards Research”, and “Hydrology”
Visiting Professor, Universiti Malaysia Terengganu
Visiting Professor, Taiyuan University of Technology
Representative Publications:
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
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
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
Xie P., J. Huo, Y.F. Sang*, Y. Li*, J. Chen, Z. Wu, 2022. Correlation coefficient-based information criterion for quantification dependent characteristics in hydrological time series. Water Resources Research, DOI: 10.1029/2021WR031606
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.2022.05.010
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
Chan F.K.S.*, W.Y. Chen*, X. Gu, Y. Peng, Y.F. Sang, Trnsformation towarss resilient sponge city in China. Nature Reviews Earth & Environment, 3 (2), 99-101.
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.
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
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
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
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
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
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.
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
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
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
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, 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 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., 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. 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)
2. Cross-basin and cross-regional mega-drought scenario simulation and intelligent defense. National Key Research and Development Program of China (2023-2025)
3. Mountain Flooding Disasters and Risk Management on the Qinghai-Tibetan Plateau. The Second Expedition Project of the Pan-Tibetan Plateau (2020-2024)
4. Entropy-Based Research on the Spatiotemporal Variability of Rainfall Extremes in China. National Natural Science Foundation of China (NSFC) (2020-2023)
5. Regional hydro-climatic extreme events and their socioeconomic risks. National Key Research and Development Program of China (2020-2024)
6. Changes of Climate and Water Resources in Southeast Asia, CAS (2018-2022)
7. 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)
8. Nonstationary Variability of Runoff Process in the Yarlung Tsangpo River Basin. National Natural Science Foundation of China (NSFC) (2017-2019)
Office Address:
Room A0936 , IGSNRR
11A
An Wai,
People’s Republic of
Telephone: 86-10-6488-0471
Email: sangyf@igsnrr.ac.cn
Updated on November 15, 2023
