Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area

Murariu, Gabriel; Iticescu, Catalina; Murariu, Adrian; Rosu, Bogdan; Munteanu, Dan; Buruiana, Daniela L.

Gabriel Murariu, Catalina Iticescu, Adrian Murariu, Bogdan Rosu, Dan Munteanu, Daniela L. Buruiana

Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area

Abstract:

The identification of a temporal evolution model for complex systems has, since ancient times, been a subject of great interest. Whether it is mechanical systems for which it was essential knowledge of the final state or electrical systems, the problem of identifying evolution over time has always been extremely interesting. In the case of a complex system such as a river, whose condition is described by a set of physico-chemical parameters, the time description of the evolution of the state becomes a rather difficult problem. In this paper, two ways of identifying and predicting the parameters describing the state of such a system are presented. A LRS type algorithm and a process of approximating evolution over time considering neural networks was used for comparison. Recorded series of pH and carbonic acid values were used as study parameters. The data used covers the period 1990-1998 and consists of measurements of the water samples taken from the Danube River in the area of Galati City. The main result was to obtain a rapid convergence for the adaptive filter used. For comparison, a number of 6 neural network models were built. Finally, findings and discussion of the results are presented.

Keywords:
RLS algorithm; Water Quality Index; neural network; Pearson correlation

Issue: 2019, Volume 70, Issue 6

Pages: 1914-1919

Publication date: 2019/7/15

https://doi.org/10.37358/RC.19.6.7246

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This article is published under the Creative Commons Attribution 4.0 International License

Citation Styles

Cite this article as:
MURARIU, G., ITICESCU, C., MURARIU, A., ROSU, B., MUNTEANU, D., BURUIANA, D.L., Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area, Rev. Chim., 70(6), 2019, 1914-1919.

Vancouver
Murariu G, Iticescu C, Murariu A, Rosu B, Munteanu D, Buruiana DL. Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area. Rev. Chim.[internet]. 2019 Jun;70(6):1914-1919. Available from: https://doi.org/10.37358/RC.19.6.7246

APA 6th edition
Murariu, G., Iticescu, C., Murariu, A., Rosu, B., Munteanu, D. & Buruiana, D.L. (2019). Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area. Revista de Chimie, 70(6), 1914-1919. https://doi.org/10.37358/RC.19.6.7246

Harvard
Murariu, G., Iticescu, C., Murariu, A., Rosu, B., Munteanu, D., Buruiana, D.L. (2019). 'Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area', Revista de Chimie, 70(6), pp. 1914-1919. https://doi.org/10.37358/RC.19.6.7246

IEEE
G. Murariu, C. Iticescu, A. Murariu, B. Rosu, D. Munteanu, D.L. Buruiana, "Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area". Revista de Chimie, vol. 70, no. 6, pp. 1914-1919, 2019. [online]. https://doi.org/10.37358/RC.19.6.7246

Text
Gabriel Murariu, Catalina Iticescu, Adrian Murariu, Bogdan Rosu, Dan Munteanu, Daniela L. Buruiana,
Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area,
Revista de Chimie,
Volume 70, Issue 6,
2019,
Pages 1914-1919,
ISSN 2668-8212,
https://doi.org/10.37358/RC.19.6.7246.
(https://revistadechimie.ro/Articles.asp?ID=7246)
Keywords: RLS algorithm; Water Quality Index; neural network; Pearson correlation

RIS
TY - JOUR
T1 - Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area
A1 - Murariu, Gabriel
A2 - Iticescu, Catalina
A3 - Murariu, Adrian
A4 - Rosu, Bogdan
A5 - Munteanu, Dan
A6 - Buruiana, Daniela L.
JF - Revista de Chimie
JO - Rev. Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2019
VL - 70
IS - 6
SP - 1914
EP - 1919
UR - https://doi.org/10.37358/RC.19.6.7246
KW - RLS algorithm
KW - Water Quality Index
KW - neural network
KW - Pearson correlation
ER -

BibTex
@article{RevCh2019P1914,
author = {Murariu Gabriel and Iticescu Catalina and Murariu Adrian and Rosu Bogdan and Munteanu Dan and Buruiana Daniela L.},
title = {Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area},
journal = {Revista de Chimie},
volume = {70},
number = {6},
pages = {1914-1919},
year = {2019},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.19.6.7246},
url = {https://revistadechimie.ro/Articles.asp?ID=7246}
}

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