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

Year 2018, , 321 - 325, 01.06.2018

Semra Benzer Recep Benzer

https://doi.org/10.2339/politeknik.385434

Cited By: 3

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
(ANNs). This study was conducted in 2010 at 30
stations (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 (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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