• Nidhi M. Trivedi
• Prof.P. S Ramanuj

Reservoir is very important hydraulic structure to store water in the dam. Reservoir is one of the structural approaches for flood protection and water storage. Reservoir water level mainly depends on the rainfall, inflow and outflow. Rainfall mainly influences the reservoir water level and inflow. The objective of this research work is to forecast the KADANA reservoir water level of Mahi River in Gujarat, using Artificial Intelligence method called Adaptive Neuro Fuzzy Inference System (ANFIS). In this work, two models were developed for two different inputs and for two different ANFIS Techniques called ANFIS-Grid Partitioning (ANFIS-GP) and ANFIS-Subtractive Clustering (ANFIS-SC). In Model 1 the Precipitation data from six upstream gauging stations of KADANA and a day’s water level and output as a next day water level using the ANFIS Subtractive clustering technique. In Model 2, the Inflow of KADANA reservoir and a day’s water level and output as a next day water level using the ANFIS Grid Partitioning Technique. To get an effective evaluation of the ANFIS model, these models were compared with another Artificial Intelligence method called Artificial Neural Network (ANN) and also compared with Actual Data. These model efficiency and accuracy were measured based on Root Mean square error (RMSE) correlation coefficient (R) and Co efficient of Determination (R^2).The results revealed that the ANFIS-GP and ANFIS-SC application could be applied effectively to forecast reservoir water level and the ANFIS-GP model has some extent better performance than the ANFIS-SC model in reservoir water level forecast.

KADANA, Reservoir forecasting Model, Adaptive Neuro Fuzzy Inference System, ANFIS-GP, ANFIS-SC, ANN.

"Forecasting Reservoir Water Level of Kadana Dam Using Adaptive Neuro Fuzzy Inference System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.179-186, April-2019, Available :http://www.jetir.org/papers/JETIR1904D24.pdf

"Forecasting Reservoir Water Level of Kadana Dam Using Adaptive Neuro Fuzzy Inference System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp179-186, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D24.pdf