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Technological modeling of physicochemical removal of iron from deep groundwater

In view of the significant difficulties arising in controlling the operation of the rapid iron removal filters on the basis of full exhaustion of their clarifying resource at every calculation stage (filter run), it is suggested to realize a simple control algorithm, which assumes an equal duration...

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Detalles Bibliográficos
Autores principales: Poliakov, V.L., Martynov, S. Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559967/
https://www.ncbi.nlm.nih.gov/pubmed/37809662
http://dx.doi.org/10.1016/j.heliyon.2023.e20202
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author Poliakov, V.L.
Martynov, S. Yu
author_facet Poliakov, V.L.
Martynov, S. Yu
author_sort Poliakov, V.L.
collection PubMed
description In view of the significant difficulties arising in controlling the operation of the rapid iron removal filters on the basis of full exhaustion of their clarifying resource at every calculation stage (filter run), it is suggested to realize a simple control algorithm, which assumes an equal duration of filter runs during the entire service life of one filtering material change. Since the efficiency of physicochemical iron removal depends significantly on the specified duration, in order to establish its optimal value in every given case it is necessary to perform a special technical and economic analysis with a detailed consideration of the composition and degree of contamination of natural water. In the working conditions considered above, which are typical for physicochemical iron removal from deep groundwater in Ukraine, such a value was 600 conventional units, which corresponds to 48 h. The cost of the treatment increases significantly even with a small deviation of the filter run duration from the optimal value.
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spelling pubmed-105599672023-10-08 Technological modeling of physicochemical removal of iron from deep groundwater Poliakov, V.L. Martynov, S. Yu Heliyon Research Article In view of the significant difficulties arising in controlling the operation of the rapid iron removal filters on the basis of full exhaustion of their clarifying resource at every calculation stage (filter run), it is suggested to realize a simple control algorithm, which assumes an equal duration of filter runs during the entire service life of one filtering material change. Since the efficiency of physicochemical iron removal depends significantly on the specified duration, in order to establish its optimal value in every given case it is necessary to perform a special technical and economic analysis with a detailed consideration of the composition and degree of contamination of natural water. In the working conditions considered above, which are typical for physicochemical iron removal from deep groundwater in Ukraine, such a value was 600 conventional units, which corresponds to 48 h. The cost of the treatment increases significantly even with a small deviation of the filter run duration from the optimal value. Elsevier 2023-09-15 /pmc/articles/PMC10559967/ /pubmed/37809662 http://dx.doi.org/10.1016/j.heliyon.2023.e20202 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Poliakov, V.L.
Martynov, S. Yu
Technological modeling of physicochemical removal of iron from deep groundwater
title Technological modeling of physicochemical removal of iron from deep groundwater
title_full Technological modeling of physicochemical removal of iron from deep groundwater
title_fullStr Technological modeling of physicochemical removal of iron from deep groundwater
title_full_unstemmed Technological modeling of physicochemical removal of iron from deep groundwater
title_short Technological modeling of physicochemical removal of iron from deep groundwater
title_sort technological modeling of physicochemical removal of iron from deep groundwater
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559967/
https://www.ncbi.nlm.nih.gov/pubmed/37809662
http://dx.doi.org/10.1016/j.heliyon.2023.e20202
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