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INVESTIGATION OF WATER QUALITY STATE DYNAMICS OF DANUBE RIVER IN THE EASTERN PART OF ROMANIA

Gabriel Murariu

First published: 2018-11-20https://doi.org/10.5593/sgem2018v/1.5/s02.040View metrics

Abstract

The study of aquatic systems is an extremely important issue in the context of saving. natural resources. In this respect, the description of the evolution over time and the dynamics of some status parameters describing the dynamic aquarium system is a rather difficult problem. This paper presents a method of representing evolution over time and some status parameters that allow assessment of the status of an aquatic system. The method outlined in the paper is based on the use of automated automatic neural network (ANN) models. As a case study the aquatic system of the Danube river near Galati Romania is considered. The article describes the stage of training, validation and application of neural network models (ANN) for assessing pH and carbonic acid level. For a fair evaluation, a total of 20 different models were constructed and a number of 6 AN models were presented which had the best performances for assessing the HCO3 concentration and pH value in Danube waters respectively. The performance of the ANN models was evaluated by the coefficient of determination (R) (square of the correlation coefficient), the mean square error (SOS). The identified models can be used as tools for calculating water quality parameters

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Publication details

Title
INVESTIGATION OF WATER QUALITY STATE DYNAMICS OF DANUBE RIVER IN THE EASTERN PART OF ROMANIA
Authors
Gabriel Murariu
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th SGEM International Multidisciplinary Scientific GeoConference SGEM2018, Science and Technologies in Geology, Exploration And Mining
Publisher
STEF92 Technology
Year
2018
Pages
323-330
SWS Citekey
Murariu20182323330
ISSN
1314-2704
ISBN
978-619-7408-72-0
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
Numerical approachStatistical analysisInterpolation method
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