Profile
Shao’s main research interest is hydrological and geotechnical numerical modeling that includes the effects of soil heterogeneity and vegetation dynamics. The specific research topics include:
1. Predicting timing and magnitude of rainfall-triggered shallow landslide under the impacts of preferential flow; rainfall intensity and duration threshold for landslide-triggering; design of stabilizing piles and vegetation restoration system to prevent landslides.
2. Coupling non-isothermal soil moisture transport and land surface energy balance to simulate evaporation fluxes in vegetated area; estimating plant transpiration and biomass production under the vegetation dynamics of growth, competition, and disturbance.
3. Using data assimilation algorithms to update the state variables and estimate parameters.
Education:
Ph.D. in Hydrology and Water Resources 09/2011|01/2017
Delft University of Technology, the Netherlands
Supervisors: Prof. Dr. Mark Bakker, Dr. Thom Bogaard, Prof. Dr. Hubert Savenije
Thesis Title: Numerical modeling of the effect of preferential flow on hillslope hydrology and slope stability
M.Sc. in Hydrology and Water Resources 09/2008|07/2011
Hohai University, Nanjing, China
Supervisors: Prof. Xiaofang Rui, Prof. Dr. Jie Feng
Thesis Title: Modeling macropore flow and solute transport in soil base on Lattice Boltzmann method
B.E. in Hydraulic and Hydroelectric Engineering 09/2004|07/2008
Tianjin University, Tianjin, China
Supervisor: Prof. Dr. Ping Feng
Thesis Title: The mechanism of runoff generation and characteristics of Daqing River basin
RESEARCH EXPERIENCE:
Full Professor 07/2019|now
School of Hydrology and Water Resources, Nanjing University of Information Science and Technology
Assistant Professor 01/2018|07/2019
School of Hydrometerology, Nanjing University of Information Science and Technology
Post-Doctoral Research 07/2016|12/2016
Delft University of Technology, the Netherlands
Supervisor: Dr. Thom Bogaard Prof. Dr. Hubert Savenije
Research Project: DOMINO project (Dikes and Debris flows monitoring by novel optical fiber sensors)
Research Internship 01/2016|06/2016
Hong Kong University of Science and Technology, Hong Kong
Supervisor: Prof. Dr. Charles W.W. Ng
Research Project: Green slope engineering: bioengineered, live cover systems for man-made fill slopes and landfill
capillary barriers in Hong Kong. Project supported by the Research Grants Council of the government of the Hong
Kong (Grants No. HKUST6/CRF/12R)
Editor:
Frontiers in Water
Referee for Journals:
Water Resource Research; Journal of Hydrology; Hydrology and Earth System Sciences;
Ecological Indicators; Hydrogeology Journal; Journal of Mountain Science;
Publications:
1. Shao, W., Yang, Z.J., Ni, J. J., Su, Y., Nie W., Ma, X.Y.: Comparison of single- and dual-permeability models in simulating the unsaturated hydro-mechanical behaviour in a rainfall-triggered landslide. Landslides, 2018,15(12),2449-2464 (SCI,IF 3.8).
2. Shao, W., Su, Y.*, Yang, Z.J., Ma, X.Y., Langhammer, J.: Quantify the pore water velocity distribution by a celerity function. Geofluids, 2018,Article ID 1054730 (SCI,IF 2.7).
3. Shao, W., Coenders-Gerrits, M., Judge, J., Zeng, Y. J., Su, Y.*: The impact of non-isothermal soil moisture transport on evaporation fluxes in a maize cropland. Journal of Hydrology, 2018,561, 833–847 (SCI,IF 3.5).
4. Shao, W., Su, Y., and Langhammer, J.*: Simulations of coupled non-isothermal soil moisture transport and evaporation fluxes in a forest area. Journal of Hydrology and Hydromechanics, 2018, 65, 410–425 (SCI,IF 1.7).
5. Shao, W., Ni, J.J.*, Leung, A. K., Su, Y., and Ng, C. W. W.: Analysis of plant root–induced preferential flow and pore-water pressure variation by a dual- permeability model. Canadian Geotechnical Journal, 2017, 54, 1537–1552 (SCI,IF2.1).
6. Shao, W.*, Bogaard, T. A., Bakker, M., and Berti, M.: Analysing the influence of preferential flow on pressure propagation and landslide triggering of Rocca Pitigliana landslide. Journal of Hydrology, 2016, 543, 360-372 (SCI,IF 3.5).
7. Shao, W.*, Bogaard, T. A., Bakker, M., and Greco, R.: Quantification of the influence of preferential flow on slope stability using a numerical modelling approach. Hydrology and Earth System Sciences, 2015,19, 2197-2212 (SCI,IF 4.4).