Collaborative Web Application for Flood Control System of Reservoirs

Flood control for reservoirs require operations in a dynamic and cooperative manner in order to respond to the changing flood control conditions. There is an increasing emphasis on the collaboration of multiple partners with different backgrounds by sharing data, models and analysis tools in a user-friendly environment, thereby making analysis and evaluation more convenient. One of the key objectives of this paper is to exploit the Web as an infrastructure for running distributed applications that will address reservoir system operation. The web-based flood control system for reservoirs presented in this paper supports the entire decision-making process, including preprocessing the real-data observed data, setting initial conditions, selecting reservoirs constraints, interactively generating alternatives, evaluating alternatives and querying modeling analysis results and recommending alternatives. The system has been implemented in a real flood control management system in China.

[1]  J. Windsor Optimization model for the operation of flood control systems , 1973 .

[2]  Michael F. Walter,et al.  COMPUTER BASED METHODOLOGY FOR ANALYSIS OF NONSTRUCTURAL FLOOD MANAGEMENT ALTERNATIVES1 , 1979 .

[3]  S. Yakowitz Dynamic programming applications in water resources , 1982 .

[4]  S Yakowitz,et al.  DYNAMIC PROGRAMMING APPLICATION IN WATER RESOURCES , 1982 .

[5]  William W.-G. Yeh,et al.  Reservoir Management and Operations Models: A State‐of‐the‐Art Review , 1985 .

[6]  Larry W. Mays,et al.  Real‐Time Flood Management Model for Highland Lake System , 1987 .

[7]  George F. McMahon Discussion of “ Real‐Time Flood Management Model for Highland Lake System ” by Olcay Unver, Larry W. Mays, and Kevin Lansey (September, 1987) , 1989 .

[8]  Ralph A. Wurbs Reservoir‐System Simulation and Optimization Models , 1993 .

[9]  David T. Ford,et al.  PC-Based Decision-Support System for Trinity River, Texas , 1995 .

[10]  Samuel O. Russell,et al.  Reservoir Operating Rules with Fuzzy Programming , 1996 .

[11]  R. Hughes,et al.  Flood Management—The TVA Experience , 1996 .

[12]  Cheng Chuntian,et al.  Fuzzy optimal model for the flood control system of the upper and middle reaches of the Yangtze River , 1999 .

[13]  Wen‐Cheng Huang,et al.  A handy decision support system for reservoir operation in Taiwan , 1999 .

[14]  David T. Ford Flood-Warning Decision-Support System for Sacramento, California , 2001 .

[15]  Chun-tian Cheng,et al.  FUZZY ITERATION METHODOLOGY FOR RESERVOIR FLOOD CONTROL OPERATION 1 , 2001 .

[16]  Li-Chiu Chang,et al.  Intelligent control for modelling of real‐time reservoir operation , 2001 .

[17]  Darrell G. Fontane,et al.  Spatial Decision Support System for Integrated River Basin Flood Control , 2002 .

[18]  Ari Jolma,et al.  Fuzzy Model for Real-Time Reservoir Operation , 2002 .

[19]  Chuntian Cheng,et al.  Three-person multi-objective conflict decision in reservoir flood control , 2002, Eur. J. Oper. Res..

[20]  Slobodan P. Simonovic,et al.  Two New Non-structural Measures for Sustainable Management of Floods , 2002 .

[21]  Chuntian Cheng,et al.  Flood control management system for reservoirs , 2004, Environ. Model. Softw..