Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1232
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Title: Flood control management system for reservoirs
Authors: Cheng, C
Chau, KW 
Issue Date: Dec-2004
Source: Environmental modelling & software, Dec. 2004, v. 19, no. 12, p. 1141-1150
Abstract: Flood disaster is one of the most damaging natural disasters in China, with annual average losses more than 200 billion yuan in recent years. After 1995 floods in the Liaohe River and 1998 floods in the Yangtze River, the governments from national to local have realized that the flood control operation of reservoirs can play a major role in alleviating flood losses but there are some problems in flood control management for reservoirs. Most of the existing flood control management systems for reservoir were established for special purposes and are lack of data share and communication with governments, it is very difficult for decision-making departments to get real-time information in short time. Thus, a national programming about flood control management system for reservoirs is presented. The paper is a summary of the outcome of national programming about the flood control management system for reservoirs in China. The background, objectives, main challenges and main contents of the programming are introduced. The main focus is on the issues of the software integration flood control management system for reservoirs. Emphasis is concentrated on the flowchart design of the system and its core components. The current system can be applied to a river control center or a single reservoir because of using the national standard databases and easily integrated into the national flood control system in the future. An application system is briefly introduced in order to understand the system.
Keywords: Flood control
Integrated management
Database
Reservoir
Publisher: Elsevier
Journal: Environmental modelling & software 
ISSN: 1364-8152
DOI: 10.1016/j.envsoft.2003.12.004
Rights: Environmental Modelling & Software © 2004 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com.
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