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An improved flood warning system using WSN and Artificial Neural Network

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3 Author(s)
Roy, J.K. ; Narula Inst. of Technol., Kolkata, India ; Gupta, D. ; Goswami, S.

The operation of the surface water system for flood control is very important and crucial to minimizing the impacts of flood during the real-time flood events. The model considered here is assumed for a sophisticated flood warning system. Many works have been done with different parameters using Artificial Neural Network (ANN) but this paper considers six parameters related to flood effecting causes directly or indirectly. The input parameters are theoretically bounded and prediction simulated using ANN. The output results obtained are perfectly matched with the taken model and satisfactorily acceptable. The output gives early warning as well as flood situation for disaster management and preparedness to combat aftermath of flood.

Published in:

India Conference (INDICON), 2012 Annual IEEE

Date of Conference:

7-9 Dec. 2012