Estimating Dam Reservoir Level Change of Istanbul Alibey Dam with The Fuzzy SMRGT Method

Enes Erkan Er,Bestami Taşar,Fatih Üneş

doi:10.47495/okufbed.1033693

Abstract

Accurate estimation of the dam reservoir level in a dam reservoir is very important for the planning and operation of water structures. In this study, monthly dam reservoir level data between 1989 and 2020 obtained from the State Hydraulic Works (DSI) was used to estimate the monthly dam reservoir level change. For the monthly dam reservoir level estimation, it has been tried to be estimated using the Simple Membership Functionsand Fuzzy Rules Generation Technique (Fuzzy-SMRGT), Artificial Neural Network (ANN) and the classical Multiple Linear Regression (MLR) methods. Alibey Dam located in Sultangazi district of Istanbul was chosen as the study area. The monthly evaporation, water entering into the lake, consumption of drinking water and amount of water discharged from the dam amounts were used to estimate the monthly Alibey Dam reservoir average dam reservoir level. The model results were compared with the actual observation dam reservoir levels. When the results were evaluated, it was observed that the models were successful in estimating the dam reservoir level and gave results close to each other

Highlights

Water has the most important position in human life for sustaining life
Monthly evaporation amount (Et), amount of water coming into the lake (LWt), drinking water consumption (DWt) and discharged water amount (DDWt) from the dam reservoir were used to estimate the monthly dam reservoir level (DRLt) change of Alibey Dam
In the Fuzzy SMRGT multiple linear regression (MLR) and Artificial Neural Networks (ANN) model applications, the dam reservoir level value was estimated by using the monthly evaporation amount, the amount of water coming into the lake, the consumption of drinking water and the amount of water discharged

Summary

Introduction

Water has the most important position in human life for sustaining life. especially with the global climate change experienced in recent years, the increasing water problems and their solutions have gained more importance. Şener et al (2014) of the changes in Burdur Lake dam reservoir level using the, regression analysis created prediction models Fuzzy Logic (FL)methods with precipitation and evaporation data. They observed that the FL method gave more successful results than the regression method. Monthly evaporation amount (Et), amount of water coming into the lake (LWt), drinking water consumption (DWt) and discharged water amount (DDWt) from the dam reservoir were used to estimate the monthly dam reservoir level (DRLt) change of Alibey Dam. Fuzzy-SMRGT + a fuzzy logic method, Multiple Linear Regression methods (MLR) and Artificial Neural Networks (ANN) were used

Methods

Findings

Conclusion