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Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models

Groundwater assets are the foremost imperative assets of freshwater accessible to people especially in arid and semi-arid regions. For the investigation of temporal changes in groundwater nitrate pollution and the role of agriculture and other sources in the pollution of groundwater, the information...

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Autores principales: Eslamian, Saeid, Harooni, Yaghub, Sabzevari, Yaser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203279/
https://www.ncbi.nlm.nih.gov/pubmed/37217575
http://dx.doi.org/10.1038/s41598-023-35496-8
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author Eslamian, Saeid
Harooni, Yaghub
Sabzevari, Yaser
author_facet Eslamian, Saeid
Harooni, Yaghub
Sabzevari, Yaser
author_sort Eslamian, Saeid
collection PubMed
description Groundwater assets are the foremost imperative assets of freshwater accessible to people especially in arid and semi-arid regions. For the investigation of temporal changes in groundwater nitrate pollution and the role of agriculture and other sources in the pollution of groundwater, the information on 42 drinking water wells with suitable distribution in the plain in Bouin-Daran Plain in the center of Iran was used. The results showed that the amount of hydraulic conductivity in the plain for different areas after calibration in steady state was calculated between 0.8 and 34 m/day. After calibrating the model in permanent conditions, the model was calibrated in non-permanent conditions for 2 years. The results showed that in a wide area of the region, the nitrate ion concentration has values of more than 25 mg/L. This shows that the average concentration of this ion in the region is generally high. The highest level of pollution in the aquifer of the plain is related to the southern and southeastern parts of the plain. Due to the agricultural activities with the use of large amounts of fertilizers in this plain, there is a potential for pollution in all of the places, and it requires codified and executive planning for agricultural operations as well as the use of groundwater sources. The DRASTIC vulnerability estimation method is only useful for estimating the areas that have a high potential for contamination and according to the validation tests, it has also provided a suitable estimate.
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spelling pubmed-102032792023-05-24 Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models Eslamian, Saeid Harooni, Yaghub Sabzevari, Yaser Sci Rep Article Groundwater assets are the foremost imperative assets of freshwater accessible to people especially in arid and semi-arid regions. For the investigation of temporal changes in groundwater nitrate pollution and the role of agriculture and other sources in the pollution of groundwater, the information on 42 drinking water wells with suitable distribution in the plain in Bouin-Daran Plain in the center of Iran was used. The results showed that the amount of hydraulic conductivity in the plain for different areas after calibration in steady state was calculated between 0.8 and 34 m/day. After calibrating the model in permanent conditions, the model was calibrated in non-permanent conditions for 2 years. The results showed that in a wide area of the region, the nitrate ion concentration has values of more than 25 mg/L. This shows that the average concentration of this ion in the region is generally high. The highest level of pollution in the aquifer of the plain is related to the southern and southeastern parts of the plain. Due to the agricultural activities with the use of large amounts of fertilizers in this plain, there is a potential for pollution in all of the places, and it requires codified and executive planning for agricultural operations as well as the use of groundwater sources. The DRASTIC vulnerability estimation method is only useful for estimating the areas that have a high potential for contamination and according to the validation tests, it has also provided a suitable estimate. Nature Publishing Group UK 2023-05-22 /pmc/articles/PMC10203279/ /pubmed/37217575 http://dx.doi.org/10.1038/s41598-023-35496-8 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
Eslamian, Saeid
Harooni, Yaghub
Sabzevari, Yaser
Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models
title Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models
title_full Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models
title_fullStr Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models
title_full_unstemmed Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models
title_short Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models
title_sort simulation of nitrate pollution and vulnerability of groundwater resources using modflow and drastic models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203279/
https://www.ncbi.nlm.nih.gov/pubmed/37217575
http://dx.doi.org/10.1038/s41598-023-35496-8
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