Developing a web-based flood forecasting system for reservoirs with J2EE

Chun Tian Cheng, Kwok Wing Chau, Xiang Yang Li, Gang Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)973-986
Number of pages14
JournalHydrological Sciences Journal
Issue number6
Publication statusPublished - 1 Dec 2004


  • Collaborative problem solving
  • EJB
  • Flood forecasting
  • J2EE
  • World Wide Web

ASJC Scopus subject areas

  • Water Science and Technology


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