Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model
Groundwater is a vital resource for human welfare. However, due to various factors, groundwater pollution is one of the main environmental concerns. Yet, it is challenging to simulate groundwater quality dynamics due to the insufficient representation of nutrient percolation processes in the soil an...
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ftpubmed:oai:pubmedcentral.nih.gov:8245482 2023-05-15T15:26:04+02:00 Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model Meshesha, Tesfa Worku Wang, Junye Melaku, Nigus Demelash McClain, Cynthia N. 2021-06-30 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245482/ http://www.ncbi.nlm.nih.gov/pubmed/34193903 https://doi.org/10.1038/s41598-021-92920-7 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245482/ http://www.ncbi.nlm.nih.gov/pubmed/34193903 http://dx.doi.org/10.1038/s41598-021-92920-7 © The Author(s) 2021 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/) . CC-BY Sci Rep Article Text 2021 ftpubmed https://doi.org/10.1038/s41598-021-92920-7 2021-07-11T00:27:54Z Groundwater is a vital resource for human welfare. However, due to various factors, groundwater pollution is one of the main environmental concerns. Yet, it is challenging to simulate groundwater quality dynamics due to the insufficient representation of nutrient percolation processes in the soil and Water Assessment Tool model. The objectives of this study were extending the SWAT module to predict groundwater quality. The results proved a linear relationship between observed and calculated groundwater quality with coefficient of determination (R(2)), Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS) values in the satisfied ranges. While the values of R(2), NSE and PBIAS were 0.69, 0.65, and 2.68 during nitrate calibration, they were 0.85, 0.85 and 5.44, respectively during nitrate validation. Whereas the values of R(2), NSE and PBIAS were 0.59, 0.37, and − 2.21 during total dissolved solid (TDS) calibration and they were 0.81, 0.80, 7.5 during the validation. The results showed that the nitrate and TDS concentrations in groundwater might change with varying surface water quality. This indicated the requirement for designing adaptive management scenarios. Hence, the extended SWAT model could be a powerful tool for future regional to global scale modelling of nutrient loads and effective surface and groundwater management. Text Athabasca River Subarctic PubMed Central (PMC) Athabasca River Nash ENVELOPE(-62.350,-62.350,-74.233,-74.233) Sutcliffe ENVELOPE(-81.383,-81.383,50.683,50.683) Scientific Reports 11 1 |
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Article Meshesha, Tesfa Worku Wang, Junye Melaku, Nigus Demelash McClain, Cynthia N. Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model |
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Article |
description |
Groundwater is a vital resource for human welfare. However, due to various factors, groundwater pollution is one of the main environmental concerns. Yet, it is challenging to simulate groundwater quality dynamics due to the insufficient representation of nutrient percolation processes in the soil and Water Assessment Tool model. The objectives of this study were extending the SWAT module to predict groundwater quality. The results proved a linear relationship between observed and calculated groundwater quality with coefficient of determination (R(2)), Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS) values in the satisfied ranges. While the values of R(2), NSE and PBIAS were 0.69, 0.65, and 2.68 during nitrate calibration, they were 0.85, 0.85 and 5.44, respectively during nitrate validation. Whereas the values of R(2), NSE and PBIAS were 0.59, 0.37, and − 2.21 during total dissolved solid (TDS) calibration and they were 0.81, 0.80, 7.5 during the validation. The results showed that the nitrate and TDS concentrations in groundwater might change with varying surface water quality. This indicated the requirement for designing adaptive management scenarios. Hence, the extended SWAT model could be a powerful tool for future regional to global scale modelling of nutrient loads and effective surface and groundwater management. |
format |
Text |
author |
Meshesha, Tesfa Worku Wang, Junye Melaku, Nigus Demelash McClain, Cynthia N. |
author_facet |
Meshesha, Tesfa Worku Wang, Junye Melaku, Nigus Demelash McClain, Cynthia N. |
author_sort |
Meshesha, Tesfa Worku |
title |
Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model |
title_short |
Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model |
title_full |
Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model |
title_fullStr |
Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model |
title_full_unstemmed |
Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model |
title_sort |
modelling groundwater quality of the athabasca river basin in the subarctic region using a modified swat model |
publisher |
Nature Publishing Group UK |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245482/ http://www.ncbi.nlm.nih.gov/pubmed/34193903 https://doi.org/10.1038/s41598-021-92920-7 |
long_lat |
ENVELOPE(-62.350,-62.350,-74.233,-74.233) ENVELOPE(-81.383,-81.383,50.683,50.683) |
geographic |
Athabasca River Nash Sutcliffe |
geographic_facet |
Athabasca River Nash Sutcliffe |
genre |
Athabasca River Subarctic |
genre_facet |
Athabasca River Subarctic |
op_source |
Sci Rep |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245482/ http://www.ncbi.nlm.nih.gov/pubmed/34193903 http://dx.doi.org/10.1038/s41598-021-92920-7 |
op_rights |
© The Author(s) 2021 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/) . |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1038/s41598-021-92920-7 |
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11 |
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