Cheng Yao, Ph.D.

Associate Professor

College of Hydrology and Water Resources

Hohai University

Education

Ph.D Hydrology and Water Resources, Hohai University, NanJing, China, 2007.03-2009.12

M.Eng Hydrology and Water Resource, Hohai University, NanJing, China, 2004.09-2007.02

B.Eng Hydrology and Water Resources Engineering, Hydrology and Water Resource, Hohai University, NanJing, China, 2004.09-2007.02

Professional Experience

Nov 2014 to now	Associate Professor , Hohai University，Nanjing，China.
Oct 2016 to Oct 2017	Academic Visitor , Civil and Environmental Engineering, Georgia Institute of Technology.
Jan 2010 to Jun 2014	Lecture, Hohai University，Nanjing，China.. Research filed：Simulation and forecast of hydrophysical law, etc.

Honors and Awards

Key technologies and applications of hydrological big data-driven flood forecasting models, First Prize for Science & technology Development/Achievement of the Ministry of Education, 2014

Research and application of key technology of flash flood disaster investigation, evaluation and early warning, Second Prize for Science & technology Development/Achievement of AnHui Province 2016

Study and application of hydrological prediction model in flash flood prone area. third Prize for Science & technology Development/Achievement of AnHui Province 2009,

Grants

2020-2022	National Natural Science Foundation of China“Research on reconfiguration of flood forecasting model for small and medium-sized rivers based on environmental perception”(PI).
2018-2021	The National Key Research and Development Program of China,“Research and demonstration on key technologies of flood prevention and emergency management in small and medium-sized rivers”(Co-PI).
2016-2018	National Natural Science Foundation of China “Research on flood prediction model in non-data area based on GIS and RS technology”(PI).

Publications-SCI

[1] Yao Cheng*, Ye Jinyin, He Zhixin, Bastola Satish, Zhang Ke*, Li Zhijia. Evaluation of flood prediction capability of the distributed Grid-Xinanjiang model driven by weather research and forecasting precipitation. Journal of Flood Risk Management. 2019, e12544. https://doi.org/10.1111/jfr3.12544.

[2] Huo Wenbo, Li Zhijia, Wang Jingfeng, Yao Cheng*, Zhang Ke*, Huang Yingchun. Multiple hydrological models comparison and an improved Bayesian model averaging approach for ensemble prediction over semi-humid regions. Stochastic Environmental Research and Risk Assessment. 2019, 33，217-238.

[3] Tong Bingxing, Li Zhijia, Yao Cheng*, Wang Jingfeng, Huang Yingchun. Derivation of the spatial distribution of free water storage capacity based on topographic index. Water 2018, 10, 1407; doi:10.3390/w10101407.

[4] Liu Kailei, Yao Cheng, Chen Ji*, Li Zhijia, Li Qiaoling, Sun Leqiang. Comparison of three updating models for real time forecasting: a case study of flood forecasting at the middle reaches of the Huai River in East China. Stochastic Environmental Research and Risk Assessment, 2017, 37:1471-1484.

[5] Huang Pengnian, Li Zhijia, Yao Cheng*, Li Qiaoling, Yan Meichun. Spatial Combination Modeling Framework of Saturation-Excess and Infiltration-Excess Runoff for Semihumid Watersheds. Advances in Meteorology, vol. 2016, Article ID 5173984, 15 pages, 2016. doi:10.1155/2016/5173984.

[6] Liu Kailei, Li Zhijia, Yao Cheng*, Chen Ji, Zhang Ke, Saifullah Muhammad. Coupling the k-nearest neighbor procedure with the Kalman filter for real-time updating of the hydraulic model in flood forecasting. International Journal of Sediment Research, 2016, 31: 149-158.

[7] Huang Pengnian, Li Zhijia, Chen Ji*, Li Qiaoling, Yao Cheng. Event-based hydrological modeling for detecting dominant hydrological process and suitable model strategy for semi-arid catchments. Journal of Hydrology, 2016, 542: 292-303.

[8] Kan Guangyuan, Yao Cheng*, Li Qiaoling, Li Zhijia, Yu Zhongbo, Liu Zhiyu, Ding Liuqian, He Xiaoyan, Liang Ke. Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model. Stochastic Environmental Research and Risk Assessment, 2015, 29:1345-1370.

[9] Yao Cheng*, Zhang Ke, Yu Zhongbo, Li Zhijia, Li Qiaoling. Improving the flood prediction capability of the Xinanjiang model in ungauged nested catchments by coupling it with the geomorphologic instantaneous unit hydrograph. Journal of Hydrology, 2014, 517: 1035-1048.

[10] Yao Cheng*, Li Zhijia, Yu Zhongbo, Zhang Ke. A priori parameter estimates for a distributed, grid-based Xinanjiang model using geographically based information. Journal of Hydrology, 2012, 468-469: 47-62.

[11] Xuan Wang, Vladan Babovic, and Li, Xin∗. Application of spatial-temporal error correction in updating hydrodynamic model. Journal of Hydro-environment Research (Corresponding author), 16:45–57, 2017.

[12] Yao Cheng, Li Zhijia*, Bao Hongjun, Yu Zhongbo. Application of a developed Grid-Xinanjiang model to Chinese watersheds for flood forecasting purpose, Journal of Hydrologic Engineering, 2009, 14 (9): 923-934.

[13] 姚成，李致家，刘晋，李京兵. 无资料地区洪水预报模型研究与应用. 南京：河海大学出版社. 2018.