An improved flood warning system using WSN and Artificial Neural Network

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 Art...

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Bibliographic Details
Main Authors: Roy, J. K., Gupta, Dola, Goswami, Sanjay
Format: Conference Proceeding
Language:English
Subjects:
Alarm systems
Artificial Neural Network
Artificial neural networks
Early warning systems
Floods
real time flood forecasting
Rivers
Training
Vectors
Wireless sensor networks
Online Access:Request full text
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Summary: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.
ISSN:2325-940X
DOI:10.1109/INDCON.2012.6420720