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Wenhai Shi

2019-09-17 Sustainable Water and Environment Research Group


Wenhai shi(PH.D

 

Education

2004/9-2008/6(B.S)   Xi'an University of Technology     Water Resources and Hydro-power Engineering 

2011/9-2014/6(M.S)  Guangxi University     Water Resources and Hydro-power Engineering

2015/9-present(PH.D)  Institute of Soil and Water Conservation, CAS & MWR    Soil Science

Major Research Content

 1) The runoff model: to improve the SCS-CN model from three aspects of the model structure, rainfall intensity and soil water content calculation, respectively, and develop new rainfall-runoff forecast model;

2)The soil loss model: to modify the CSLE by developing a new rainfall–runoff erosivity factor to predict storm-based soil loss on the Loess Plateau and validated the new factor with a range of measurements conducted at plots with different soil, land-use, and vegetation types;

3) nutrient loss model: to propose a framework to integrate the developed nutrient loss models, the modified CSLE model and the SCS-CN model to predict the particulate and soluble nutrient losses, and has been validated with the data collected from literature including 330 storm events with the experimental measurements in runoff, sediment, and nutrient losses conducted at slope scale on Loess Plateau;

4) watershed model:to develop a modified version of SWAT, defined as LP-SWAT, by embedding the modified SCS-CN, CSLE and nutrient loss module into SWAT model to predict runoff, sediment and runoff-associated nutrient losses on the Loess Plateau and to identify the spatial and temporal variation of the sediment and nutrient loss.

Published Papers

1. Shi, W. H., Huang, M. B., Gongadze, K., & Wu, L. H. (2017). A modified SCS-CN method incorporating storm duration and antecedent soil moisture estimation for runoff prediction. Water Resources Management, 31, 17131727. doi:10.1007/s11269-017-1610-0. (IF: 2.117)

2. Shi, W. H., Huang, M. B., & Barbour, S. L. (2018a). Storm-based CSLE that incorporates the estimated runoff for soil loss prediction on the Chinese Loess Plateau. Soil and Tillage Research, 180, 137147. doi:10.1016/j.still.2018.03.001. (IF: 3. 401) 

3. Shi, W. H., Huang, M. B., & Wu, L. H. (2018b). Prediction of storm-based nutrient loss incorporating the estimated runoff and soil loss at a slope scale on the Loess Plateau, China. Land Degradation & Development. doi:10.1002/ldr.3028. (IF: 9. 787) 

4. Shi,  W. H., Huang, M. B., Zhang, X. P. (2018c). Modification of SWAT for predicting runoff, soil and nutrient loss at a watershed scale on the Loess Plateau, China. Land Degradation & Development (under-view).

 

 




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