Prediction of Dam Reservoir Volume Fluctuations Using Adaptive Neuro Fuzzy Approach

Abstract

Determination of reservoir volume fluctuations is important for the operation of dam reservoir, design of hydraulic structures, the hydropower for the energy production, flood damage reduction, navigation in the dam reservoirs, water quality management in reservoir and the safety of dam. In this study, reservoir volume variations were estimated using average monthly precipitation, monthly total volume of evaporation, dam discharge volume, and released irrigation water amount. In the present paper, adaptive-neuro-fuzzy inference system (ANFIS) was applied to estimating of reservoir volume fluctuations. ANFIS results are compared with conventional multi-linear regression (MLR) model. The results show that reservoir volume was successfully estimated using fuzzy logic model with low mean square error and high correlation coefficients.

Keywords

• Prediction

References

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