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Real Time Flood Forecasting System Using Artificial Neural Networks

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  • Avadhoot S. Idate
  • R. J. Deshmukh

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.

Suggested Citation

  • Avadhoot S. Idate & R. J. Deshmukh, 2017. "Real Time Flood Forecasting System Using Artificial Neural Networks," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(4), pages 738-742, August.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i4:id:hcseit11724108
    Note: Article URL: https://ijsrcseit.com/CSEIT11724108
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