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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Autores principales:	Tesfa Worku Meshesha, Junye Wang, Nigus Demelash Melaku, Cynthia N. McClain
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/09024ce835d448caae9ae53b046af284
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spelling	oai:doaj.org-article:09024ce835d448caae9ae53b046af2842021-12-02T16:10:36ZModelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model10.1038/s41598-021-92920-72045-2322https://doaj.org/article/09024ce835d448caae9ae53b046af2842021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92920-7https://doaj.org/toc/2045-2322Abstract 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.Tesfa Worku MesheshaJunye WangNigus Demelash MelakuCynthia N. McClainNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	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
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
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://doaj.org/article/09024ce835d448caae9ae53b046af284
work_keys_str_mv	AT tesfaworkumeshesha modellinggroundwaterqualityoftheathabascariverbasininthesubarcticregionusingamodifiedswatmodel AT junyewang modellinggroundwaterqualityoftheathabascariverbasininthesubarcticregionusingamodifiedswatmodel AT nigusdemelashmelaku modellinggroundwaterqualityoftheathabascariverbasininthesubarcticregionusingamodifiedswatmodel AT cynthianmcclain modellinggroundwaterqualityoftheathabascariverbasininthesubarcticregionusingamodifiedswatmodel
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Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model

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