Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model
Abstract 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 th...
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ftdoajarticles:oai:doaj.org/article:09024ce835d448caae9ae53b046af284 2023-05-15T15:26:04+02:00 Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model Tesfa Worku Meshesha Junye Wang Nigus Demelash Melaku Cynthia N. McClain 2021-06-01T00:00:00Z https://doi.org/10.1038/s41598-021-92920-7 https://doaj.org/article/09024ce835d448caae9ae53b046af284 EN eng Nature Portfolio https://doi.org/10.1038/s41598-021-92920-7 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-92920-7 2045-2322 https://doaj.org/article/09024ce835d448caae9ae53b046af284 Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) Medicine R Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41598-021-92920-7 2022-12-31T07:18:17Z Abstract 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. Article in Journal/Newspaper Athabasca River Subarctic Directory of Open Access Journals: DOAJ Articles 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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Directory of Open Access Journals: DOAJ Articles |
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language |
English |
topic |
Medicine R Science Q |
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Medicine R Science Q Tesfa Worku Meshesha Junye Wang Nigus Demelash Melaku Cynthia N. McClain Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model |
topic_facet |
Medicine R Science Q |
description |
Abstract 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 |
Article in Journal/Newspaper |
author |
Tesfa Worku Meshesha Junye Wang Nigus Demelash Melaku Cynthia N. McClain |
author_facet |
Tesfa Worku Meshesha Junye Wang Nigus Demelash Melaku Cynthia N. McClain |
author_sort |
Tesfa Worku Meshesha |
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 Portfolio |
publishDate |
2021 |
url |
https://doi.org/10.1038/s41598-021-92920-7 https://doaj.org/article/09024ce835d448caae9ae53b046af284 |
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 |
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
op_relation |
https://doi.org/10.1038/s41598-021-92920-7 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-92920-7 2045-2322 https://doaj.org/article/09024ce835d448caae9ae53b046af284 |
op_doi |
https://doi.org/10.1038/s41598-021-92920-7 |
container_title |
Scientific Reports |
container_volume |
11 |
container_issue |
1 |
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1766356632200019968 |