FORECASTING RESERVOIR WATER LEVEL OF BHADAR-1 USING ARTIFICIAL NEURAL NETWORK- A REVIEW

Authors

  • Srushti U. Joshi P.G. Student Department of Civil Engineering Shantilal Shah Engineering College, Bhavnagar, Gujarat, India
  • Prof. P.S.Ramanuj Associate Professor Department of Civil Engineering Shantilal Shah Engineering College, Bhavnagar, Gujarat, India

Keywords:

BHADR-1, reservoir level, forecasting, Artificial Neural Network

Abstract

Reservoir is a physical structure like pond or lake developed to impound and regulate the water.
Reservoir dam is one of the defense mechanism for both flood and drought disasters. Reservoir water level
depends on the rainfall, inflow and outflow. Rainfall is main parameter influencing change in the reservoir water
level. So the forecasting of the reservoir level is very useful for the flood management. The aim of this research
work is to forecast the BHADAR-1 reservoir water level using Artificial Neural Network. In this work, to develop
different Artificial Neural Network (ANN) model and compare with actual data.

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Published

2018-03-25

How to Cite

Srushti U. Joshi, & Prof. P.S.Ramanuj. (2018). FORECASTING RESERVOIR WATER LEVEL OF BHADAR-1 USING ARTIFICIAL NEURAL NETWORK- A REVIEW. International Journal of Advance Research in Engineering, Science & Technology, 5(3), 755–758. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1337

Issue

Vol. 5 No. 3 (2018): Volume: 05, Issue: 03 - March, 2018.

Section

Articles