Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25970
Title: Developing a web-based flood forecasting system for reservoirs with J2EE
Authors: Cheng, CT
Chau, KW 
Li, XY
Li, G
Keywords: Collaborative problem solving
EJB
Flood forecasting
J2EE
World Wide Web
Issue Date: 2004
Publisher: Iahs Press, Inst Hydrology
Source: Hydrological sciences journal, 2004, v. 49, no. 6, p. 973-986 How to cite?
Journal: Hydrological Sciences Journal 
Abstract: A flood forecasting system is a crucial component in flood mitigation. For certain important large-scale reservoirs, cooperation and communication among federal, state, and local stakeholders are required when heavy flood events are encountered. The Web-based environment is emerging as a very important development and delivery platform for real-time flood forecasting systems. In this paper, the findings of a case study are presented of the development of a Web-based flood forecasting system for reservoirs using Java 2 platform Enterprise Edition (J2EE). J2EE of Sun Microsystems is chosen as the development solution for the Web-based flood forecasting system, Weblogic 6.0 of BEA as the container provider, and JBuilder 7.0 of Borland as the development tool. One of the key objectives in this project is to establish a collaborative platform for flood forecasting via Web technology in order to render hydrological models and data available to stakeholders and experts involved and thus offer an efficient medium for transferring and sharing information, knowledge and experiences among them. Compared with general Web-based query systems and traditional flood forecasting systems, the Web-based flood forecasting system is more focused on the on-line analysis of model-based forecasting of floods and provides opportunities for improving the transfer of information and knowledge from the hydrological scientists and managers to decision makers. Finally, a prototype system is used to demonstrate the system application.
URI: http://hdl.handle.net/10397/25970
ISSN: 0262-6667
DOI: 10.1623/hysj.49.6.973.55723
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