Real Time Flood Forecasting System Using Artificial Neural Networks

Authors(2) :-Avadhoot S. Idate, R. J. Deshmukh

Flood Forecasting is difficult task that faces fatal hazards due to fast rising stream flows from urban area. To avoid the future flood problems, to construct an on-line accurate model for forecasts flood levels during flood periods. The regions near Koyana and Krishna basins located in Maharashtra region is selected as study area. In this work, combining three ANNs to construct real time Flood Forecasting System. This paper suggests that the Flood Forecasting model can be valuable and very beneficial to flood control. We are considering the different location from where we can measure the outflow of the water so from which we can estimate the flood level of the location, which is affected by this location outflow directly.

Authors and Affiliations

Avadhoot S. Idate
Department of Computer Science and Technology, Department of Technology, Shivaji University, Kolhapur, India
R. J. Deshmukh
Department of Computer Science and Technology, Department of Technology, Shivaji University, Kolhapur, India

Artificial Neural Networks; Gamma Test; Flood Forecasting

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 738-742
Manuscript Number : CSEIT11724108
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Avadhoot S. Idate, R. J. Deshmukh, "Real Time Flood Forecasting System Using Artificial Neural Networks", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.738-742, July-August-2017.
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