Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model

• Published in: Scientific Reports
• Main Authors: Meshesha, Tesfa Worku, Wang, Junye, Melaku, Nigus Demelash, McClain, Cynthia N.
• Other Authors: Alberta Economic Development and Trade for the Campus Innovates Program Research Chair for the financial support
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer Science and Business Media LLC 2021
• Subjects: Multidisciplinary; Athabasca River; Nash; Sutcliffe; Subarctic
• Online Access: http://dx.doi.org/10.1038/s41598-021-92920-7; http://www.nature.com/articles/s41598-021-92920-7.pdf; http://www.nature.com/articles/s41598-021-92920-7

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.