姚成, Ph.D.
副教授
水文水资源学院
河海大学
学习经历
博士水文学及水资源，河海大学，南京，中国，2007.03-2009.12
硕士水文学及水资源，河海大学，南京，中国，2004.09-2007.02
学士水文与水资源工程，河海大学，南京，中国，2000.09-2004.06
工作经历
| 2014年7月至今 | 副教授,河海大学, 南京, 中国. |
| 2016年10月至2017年10月 | 访问学者,土木与环境工程学院，美国佐治亚理工学院. |
| 2010年1月至2014年6月 | 讲师,河海大学, 南京, 中国. 研究领域：流域水文物理规律模拟与预报等. |
荣誉与奖励
“水文大数据驱动的洪水预报模型关键技术与应用，2014年教育部科技进步一等奖，8/13”
“山洪灾害调查评价及预警关键技术研究与应用，2016年安徽省科技进步二等奖，6/8
山洪灾害易发区水文预报模型研究与应用，2009年安徽省科技进步三等奖，5/6
项目资助
| 2019年-2022年 | 国家自然科学基金面上项目，基于环境感知的中小河流洪水预报模型重配置研究（51979070），在研，项目负责人。 |
| 2018年-2021年 | 国家重点研发计划，中小河流洪水防控与应急管理关键技术研究与示范（SQ2018YFC150032），在研，专题负责人。 |
| 2016年-2018年 | 国家自然科学基金青年项目，基于GIS与RS技术的无资料地区洪水预报模型研究（41101017），已结题，项目负责人 |
发表文章
[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.
联系方式
E-Mail: [email protected]
QQ: 10162594
系所 :水文水资源学院 地址:南京市鼓楼区西康路1号, 210098