Modelling Nitrate Prediction of Groundwater and Surface Water Using Artificial Neural Networks

Authors : Semra BENZER, Recep BENZER

Pages : 321-325

Doi:10.2339/politeknik.385434

View : 37 | Download : 11

Publication Date : 2018-06-01

Article Type : Research Paper

Abstract :This study aims to estimate the changes in the amount of nitrate in Yeşilırmak Watershed using surface water and underground water of the nitrate content determined by General Directorate of State Hydraulic Works using Artificial Neural Networks insert ignore into journalissuearticles values(ANNs);. This study was conducted in 2010 at 30 stations insert ignore into journalissuearticles values(9 groundwater, 18 surface water and 3 closed water source); in Yeşilırmak Watershed. Nitrate ranged from 0.341 to 77.700 mg/L, with an average value of 17.870 mg/L. In this study, changes in the amount of nitrate in Amasya using groundwater and surface water in the basin of the nitrate content determined by the Provincial Directorate of Agriculture modeling was presented with an approach based on Artificial Neural Networks insert ignore into journalissuearticles values(ANNs); and predict the nitrate value for the year of 2020 and 2030. Thus, the nitrate levels of water samples obtained from 30 stations water supplies found to be under the limits of Turkish and international codex of drinking water intended for human consumption.
Keywords : Artificial neural networks, nitrate, Amasya, surface water, ground water

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