Real Time Flood Forecasting System Using Artificial Neural Networks

Authors

  • 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

Keywords:

Artificial Neural Networks; Gamma Test; Flood Forecasting

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-08-31

Issue

Volume 2, Issue 4, July-August-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Avadhoot S. Idate, R. J. Deshmukh, " Real Time Flood Forecasting System Using Artificial Neural Networks, IInternational 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.