Prediction of Dam Reservoir Volume Fluctuations Using Adaptive Neuro Fuzzy Approach

Fatih UNES

Makale detayları

Prediction of Dam Reservoir Volume Fluctuations Using Adaptive Neuro Fuzzy Approach

Yazarlar:

Fatih UNES

Yayıncı:

CNR Çevre

Dergi:

European Journal of Engineering and Natural Sciences 2017 Vol.2 Issue 1, pp.144-148

Belge Tipi:

Makale

Yayın Tarihi:

2/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000784468

Sıklık:

İki Yıllık

eISSN:

2458-8156

Özet:

 

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.

Makale detayları

Prediction of Dam Reservoir Volume Fluctuations Using Adaptive Neuro Fuzzy Approach

Yazarlar: Fatih UNES

Yayıncı: CNR Çevre

Dergi: European Journal of Engineering and Natural Sciences 2017 Vol.2 Issue 1, pp.144-148

Belge Tipi: Makale

Yayın Tarihi: 2/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000784468

Sıklık: İki Yıllık

eISSN: 2458-8156

Sayı

Yazarlar:

Fatih UNES

Yayıncı:

CNR Çevre

Dergi:

European Journal of Engineering and Natural Sciences 2017 Vol.2 Issue 1, pp.144-148

Belge Tipi:

Makale

Yayın Tarihi:

2/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000784468

Sıklık:

İki Yıllık

eISSN:

2458-8156