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Simulation and modelling of heavy metals and water quality parameters in the river
A one-dimensional qualitative model was created for this study’s modelling and phase transfer of the heavy metal dissolved in the river. The advection–diffusion equation considers the environmental variables temperature, dissolved oxygen, pH, and electrical conductivity as influencing parameters on...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944203/ https://www.ncbi.nlm.nih.gov/pubmed/36810598 http://dx.doi.org/10.1038/s41598-023-29878-1 |
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author | Khalilzadeh Poshtegal, Maryam Mirbagheri, Seyed Ahmad |
author_facet | Khalilzadeh Poshtegal, Maryam Mirbagheri, Seyed Ahmad |
author_sort | Khalilzadeh Poshtegal, Maryam |
collection | PubMed |
description | A one-dimensional qualitative model was created for this study’s modelling and phase transfer of the heavy metal dissolved in the river. The advection–diffusion equation considers the environmental variables temperature, dissolved oxygen, pH, and electrical conductivity as influencing parameters on the change in the concentration of the dissolved phase of heavy metals lead, cadmium, and zinc in springtime and winter. Hec-Ras hydrodynamic model and Qual2kw qualitative model have been used to determine the hydrodynamic and environmental parameters in the created model. The approach of minimizing simulation errors and Vba coding was employed to identify the constant coefficients for these relations, and the linear relation incorporating all of the parameters is thought to be the final connection. In order to simulate and calculate the concentration of the heavy metals in the dissolved phase at each site, the kinetic coefficient of the reaction corresponding to that point should be employed because the kinetic coefficient of the reaction varies in different portions of the river. Additionally, if the above mentioned environmental parameters are used in the spring and winter term of advection–diffusion equations, the accuracy of the developed model significantly improves, and the effect of other qualitative parameters is negligible, indicating that the model is effective at simulating the dissolved phase of heavy metals in the river. |
format | Online Article Text |
id | pubmed-9944203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99442032023-02-23 Simulation and modelling of heavy metals and water quality parameters in the river Khalilzadeh Poshtegal, Maryam Mirbagheri, Seyed Ahmad Sci Rep Article A one-dimensional qualitative model was created for this study’s modelling and phase transfer of the heavy metal dissolved in the river. The advection–diffusion equation considers the environmental variables temperature, dissolved oxygen, pH, and electrical conductivity as influencing parameters on the change in the concentration of the dissolved phase of heavy metals lead, cadmium, and zinc in springtime and winter. Hec-Ras hydrodynamic model and Qual2kw qualitative model have been used to determine the hydrodynamic and environmental parameters in the created model. The approach of minimizing simulation errors and Vba coding was employed to identify the constant coefficients for these relations, and the linear relation incorporating all of the parameters is thought to be the final connection. In order to simulate and calculate the concentration of the heavy metals in the dissolved phase at each site, the kinetic coefficient of the reaction corresponding to that point should be employed because the kinetic coefficient of the reaction varies in different portions of the river. Additionally, if the above mentioned environmental parameters are used in the spring and winter term of advection–diffusion equations, the accuracy of the developed model significantly improves, and the effect of other qualitative parameters is negligible, indicating that the model is effective at simulating the dissolved phase of heavy metals in the river. Nature Publishing Group UK 2023-02-21 /pmc/articles/PMC9944203/ /pubmed/36810598 http://dx.doi.org/10.1038/s41598-023-29878-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Khalilzadeh Poshtegal, Maryam Mirbagheri, Seyed Ahmad Simulation and modelling of heavy metals and water quality parameters in the river |
title | Simulation and modelling of heavy metals and water quality parameters in the river |
title_full | Simulation and modelling of heavy metals and water quality parameters in the river |
title_fullStr | Simulation and modelling of heavy metals and water quality parameters in the river |
title_full_unstemmed | Simulation and modelling of heavy metals and water quality parameters in the river |
title_short | Simulation and modelling of heavy metals and water quality parameters in the river |
title_sort | simulation and modelling of heavy metals and water quality parameters in the river |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944203/ https://www.ncbi.nlm.nih.gov/pubmed/36810598 http://dx.doi.org/10.1038/s41598-023-29878-1 |
work_keys_str_mv | AT khalilzadehposhtegalmaryam simulationandmodellingofheavymetalsandwaterqualityparametersintheriver AT mirbagheriseyedahmad simulationandmodellingofheavymetalsandwaterqualityparametersintheriver |