Tuesday, 30 September 2008

Wseas Transactions

New Subscription to Wseas Transactions

The following information was submitted:

Transactions: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
Transactions ID Number: 28-327
Full Name: Lijuan Zhang
Position: Professor
Age: ON
Sex: Female
Address: Huayuancun, Haidian District, Beijing 100044,China
Country: CHINA
Tel: 13701389296
Tel prefix:
Fax: 010-68785260
E-mail address: zhlijuan@tom.com
Other E-mails: zhanglijuan@bjut.edu.cn
Title of the Paper: rhe earth dam overtopping risk model and computational method for tow reservoirs in series
Authors as they appear in the Paper: Lijuan Zhang,Li Zhong,Zhaohe Chen,Suping Peng
Email addresses of all the authors: zhlijuan@tom.com,li4030@tom.com,chenzhaohe@ bjut.edu.cn,pspcumtb@163.com
Number of paper pages: 10
Abstract: In this paper, the earth dam overtopping risk theory for cascade reservoirs is developed considering all uncertainties of inflow flood, wind wave, reservoir storage, discharge capacity and interactions between two consecutive reservoirs. The theory for cascade reservoirs is generalized from the overtopping risk theory for single reservoir developed by previous researchers . A computational method for risk, called AFOSM-JC method for cascade reservoirs, is developed according to the risk computation method such as Direct integration, Monte Carlo, MFOSM, AFOSM, Rackwitz¡ªFiessler(JC), WU method, and so on. A case study for two existing reservoirs in series is given by applying the method and corresponding computational procedure presented herein. In the application the overtopping risk is calculated for a series of cascade reservoirs including Xiao Nanhai and Zhang Wu reservoirs; and the possibility of driving up the limiting level before flood (LLBF) is discussed.
Keywords: Overtopping risk , Reservoirs in series , AFOSM-JC method ,Safety reliability , Earth dam
EXTENSION of the file: .doc
Special (Invited) Session: Earth dam overtopping risk anlyses and computation method model for reservoirs in series
Organizer of the Session: 572-685
How Did you learn about congress:
IP ADDRESS: 222.130.77.97