A Web-based flood forecasting system for Shuangpai region

Traditional flood forecasting and operation of reservoirs in China are based on manual calculations by hydrologists or through standalone computer programs. The main drawbacks of these methods are long forecasting time due to time-consuming nature, individual knowledge, lack of communication, absence of experts, etc. A Web-based flood forecasting system (WFFS), which includes five main modules: real-time rainfall data conversion, model-driven hydrologic forecasting, model calibration, precipitation forecasting, and flood analysis, is presented in this paper. The WFFS brings significant convenience to personnel engaged in flood forecasting and control and allows real-time contribution of a wide range of experts at other spatial locations in times of emergency. The conceptual framework and detailed components of the proposed WFFS, which employs a multi-tiered architecture, are illustrated. Multi-tiered architecture offers great flexibility, portability, reusability and reliability. The prototype WFFS has been developed in Java programming language and applied in Shuangpai region with a satisfactory result. sult.

[1]  Zhao Ren-jun,et al.  The Xinanjiang model applied in China , 1992 .

[2]  Deyi Xue,et al.  Web-based distributed system and database modeling for concurrent design , 2003, Comput. Aided Des..

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

[4]  M. Sugawara,et al.  Automatic calibration of the tank model / L'étalonnage automatique d'un modèle à cisterne , 1979 .

[5]  David R. Maidment,et al.  Handbook of Hydrology , 1993 .

[6]  Keith R. Molenaar,et al.  Web-based decision support systems : Case study in project delivery , 2001 .

[7]  Ram D. Sriram,et al.  Engineering Information Service Infrastructure for Ubiquitous Computing , 2003 .

[8]  Chuntian Cheng,et al.  Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall–runoff model calibration , 2002 .

[9]  X. R. Liu,et al.  The Xinanjiang model. , 1995 .

[10]  Antonis D. Koussis,et al.  Flood Forecasts for Urban Basin with Integrated Hydro‐Meteorological Model , 2003 .

[11]  M. L. Kavvas,et al.  Coupling HEC-HMS with Atmospheric Models for Prediction of Watershed Runoff , 2002 .

[12]  Vijay P. Singh,et al.  The NWS River Forecast System - catchment modeling. , 1995 .

[13]  Torsten Meyer,et al.  Web-based tool support for dynamic management of distribution and parallelism in integrating architecture design and performance evaluation , 1999, 1999 Proceedings International Symposium on Software Engineering for Parallel and Distributed Systems.

[14]  V. Singh,et al.  The HBV model. , 1995 .

[15]  Rüdiger Dillmann,et al.  KaViDo - a web-based system for collaborative research and development processes , 2003, Comput. Ind..

[16]  V. Singh,et al.  Computer Models of Watershed Hydrology , 1995 .

[17]  Guy O. Beale,et al.  A channel dynamics model for real‐time flood forecasting , 1989 .

[18]  Brian Foote,et al.  Designing Reusable Classes , 2001 .

[19]  Ekambaram Palaneeswaran,et al.  Web-based centralized multiclient cooperative contractor registration system , 2003 .

[20]  Tony Liu,et al.  A web-enabled PDM system in a collaborative design environment , 2003 .

[21]  Marco Franchini,et al.  A flood routing Muskingum type simulation and forecasting model based on level data alone , 1994 .

[22]  Beth Stearns,et al.  Applying Enterprise JavaBeans: Component-Based Development for the J2EE Platform , 2003 .

[23]  Henrik Madsen,et al.  Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. , 2000 .

[24]  George Alan Blackburn,et al.  A real-time hydrological model for flood prediction using GIS and the WWW , 2003, Comput. Environ. Urban Syst..