A Web-based flood forecasting system for Shuangpai region |
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| Affiliation: | 1. Department of Civil Engineering, Dalian University of Technology, Dalian 116024, People''s Republic of China;2. Department of Civil and Structural Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China;1. Department of Electrical and Electronics Engineering, Shiraz University of Technology, Iran;2. The Australian Energy Research Institute and the School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney 2052, NSW, Australia;3. Department of Electrical Engineering, Faculty of Technology and Engineering, Shahrekord University, Iran;4. Australian Power Quality and Reliability Centre, School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia;5. Center of Excellence for Power System Automation and Operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran;1. Department of Civil Engineering, Faculty of Physical and Mathematical Sciences, Universidad de Chile, Santiago de Chile, Chile;2. Energy Center, Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, Universidad de Chile, Santiago de Chile, Chile;1. Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora, Brazil;2. Education and Technology Department – Campus Juiz de Fora, Electricity Group, Federal Institute of Education, Science and Technology of Southeast of Minas Gerais, Brazil;1. Department of Electrical and Instrumentation Engineering, Thapar University, Patiala 147004, Punjab, India;2. Department of Electrical and Instrumentation Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur 148106, Punjab, India;3. MVSR Engineering College, Hyderabad, India |
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| Abstract: | 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. |
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