 | 姓名: | 江衍铭 |
| 职称职务： | 副教授、博士生导师 | |
| 联系电话： | ||
| 电子邮箱： | chiangym@zju.edu.cn | |
| 个人主页： | http://mypage.zju.edu.cn/chiangym | |
| 个人简介： 江衍铭，主要研究方向:整合人工神经网络与水文气象信息于地表降雨-径流的预/警报、定量降雨预报、遥感等多源雨量数据的偏差修正与融合、洪水与土砂灾害的模拟与预报、水资源管理等研究。 成果包含16篇SCI文章(浙大TOP期刊论文8篇)，SCI论文总被引用次数超过200次。2013年获浙江大学求是青年学者称号，现为美国AGU会员、台湾水文信息学会理事、中国自然资源学会水资源专业委员会委员。 | ||
| 主要学习、工作经历： 2013.05～今 浙江大学 水利工程学系 博导 2012.12～今 浙江大学 水利工程学系/水文与水资源研究工程所 副教授 2012.03～2012.12 浙江大学 水利工程学系/水文与水资源研究工程所 讲师 2009.08～2009.08 Dept. of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, USA. Consultant 2008.04～2012.03 台湾大学 生物环境系统工程学系 博士后研究 2005.04～2006.01 Dept. of Civil and Environmental Engineering, University of California, Irvine, USA. Junior Specialist 2002.07～2006.12 台湾大学 水文与水资源专业 博士 2000.07～2002.06 台湾大学 水文与水资源专业 硕士 1996.09～2000.06 中兴大学 水土保持专业 学士 主要科研项目： [3] 基于动态神经网络与遥感信息的集合水文预报，教育部博士点新教师项目20130101120073，2014.01-2016.12，项目负责人。 [2] 集合化类神经网络建构流域多时刻径流预报，浙江省教育厅N20130036，2012.10-2014.10，项目负责人。 [1] 开发新颖类神经网络于水文系统之模拟与预测，中央高校基本科研业务费2012QNA4015，2012.03-2013.12，项目负责人。 SCI论文： [18] Chiang, Y.M., C.H. Chung, and F.J. Chang*, 2014. Assimilation of gauge, radar and satellite-derived typhoon rainfall by ensemble artificial neural networks. Journal of Hydrology (to be submitted) [17] Chiang, Y.M., and Y.P. Xu*, 2014. Investigating the contribution of ensemble technique to streamflow forecasting by empirical and conceptual models. Journal of Hydrology (revised) [16] Chang*, F.J., Y.M. Chiang, and Y.H. Ho, 2014. Multi-step-ahead flood forecasts by networks neuro-fuzzy with effective rainfall-runoff patterns. Journal of Flood Risk Management (in press) [15] Chang*, F.J., Y.M. Chiang, and M.J. Tsai, M.C. Shieh, K.L. Hsu, and S. Sorooshian, 2014. Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information. Journal of Hydrology 508: 374-384. [14] Chang*, F.J., Y.M. Chiang, and W.G. Cheng, 2013. Self-organizing radial basis neural network for predicting typhoon-induced losses to rice. Paddy and Water Environment 11(1-4): 369-380. [13] Chiang, Y.M., W.G. Cheng, and F.J. Chang*, 2012. A hybrid artificial neural network-based agri-economic model for predicting typhoon-induced losses. Natural Hazards 63(2): 769-787. [12] Chung, C.H., Y.M. Chiang, and F.J. Chang*, 2012. A spatial neural fuzzy network for estimating pan evaporation at ungauged sites. Hydrology and Earth System Sciences 16(1): 255-266. [Citation: 2] [11] Chiang, Y.M., L.C. Chang, M.J. Tsai, Y.F. Wang, and F.J. Chang*, 2011. Auto-control of pumping operations in sewerage systems by rule-based fuzzy neural networks. Hydrology and Earth System Sciences 15(1): 185-196. [Citation: 7] [10] Chiang, Y.M., L.C. Chang, M.J. Tsai, Y.F. Wang, and F.J. Chang*, 2010. Dynamic neural networks for real-time water level predictions of sewerage systems-covering gauged and unguaged sites. Hydrology and Earth System Sciences 14(7): 1309-1319. [Citation: 7] [9] Chiang, Y.M. and F.J. Chang*, 2009. Integrating hydrometeorological information for rainfall-runoff modeling by artificial neural networks. Hydrological Processes 23(11): 1650-1659. [Citation: 12] [8] Chang*, F.J., Y.M. Chiang, and W.S. Lee, 2009. Investigating the impact of the Chi-Chi earthquake on the occurrence of debris flows using artificial neural networks. Hydrological Processes 23(19): 2728-2736. [7] Chiang, Y.M., K.L. Hsu, F.J. Chang*, Y. Hong, and S. Sorooshian, 2007. Merging multiple precipitation sources for flash flood forecasting. Journal of Hydrology 340(3-4): 183-196. [Citation: 22] [6] Chiang, Y.M., F.J. Chang*, B.J.D. Jou, and P.F. Lin, 2007. Dynamic ANN for precipitation estimation and forecasting from radar observations. Journal of Hydrology 334(1-2): 250-261. [Citation: 26] [5] Chang*, F.J., Y.M. Chiang, and L.C. Chang, 2007. Multi-step-ahead neural networks for flood forecasting. Hydrological Sciences Journal 52(1): 114-130. [Citation: 19] [4] Hong*, Y., Y.M. Chiang, Y. Liu, K.L. Hsu, and S. Sorooshian, 2006. Satellite-based precipitation estimation using watershed segmentation and growing hierarchical self- organizing map. International Journal of Remote Sensing 27(23): 5165-5184. [Citation: 6] [3] Chang*, F.J., L.C. Chang, and Y.M. Chiang, 2005. Reply to “Comment on ‘Comparison of static-feedforward and dynamic feedback neural networks for rainfall-runoff modeling’ by Y.M. Chiang, L.C. Chang, and F.J. Chang, 2004. Journal of Hydrology 290: 297-311.” Journal of Hydrology 314(1-4): 204-206. [Citation: 1] [2] Chiang, Y.M., L.C. Chang, and F.J. Chang*, 2004. Comparison of static-feedforward and dynamic-feedback neural networks for rainfall-runoff modeling. Journal of Hydrology 290(3-4): 297-311. [Citation: 71] [1] Chang, L.C., F.J. Chang*, and Y.M. Chiang, 2004. A two-step ahead recurrent neural network for streamflow forecasting. Hydrological Processes 18(1): 81-92. [Citation: 37] 奖励、荣誉或社会兼职： 中华水资源管理学会 学术论文奖 水利工程研讨会 论文竞赛第一名 中国自然资源学会水资源专业委员会 委员 国际华人青年水科学协会 会员 台湾水文信息学会 理事 美国AGU 会员 中国农业工程学会 会员 期刊审稿人: Journal of Hydrology, Water Resources and Management, International Journal of Computers and Applications, Journal of Water and Climate Change, Entropy, Paddy and Water Environment, Environmental Monitoring and Assessment, Journal of Hydroinformatics, Water Resources Research 教学工作： 本科生课程 1. 水文学原理与应用（2012～） 2. 水文气象学（2013～） 3. 水信息工程(1/2)（2013） 研究生课程 1. 生态水文学（2013～） 2. 水资源与水环境(1/4)（2013～） 3. 高等水文学（博）（2012～） 更新日期：2014.8.10 | ||