Version 1
: Received: 9 November 2020 / Approved: 10 November 2020 / Online: 10 November 2020 (10:32:09 CET)
How to cite:
Meshesha, T.W.; Wang, J.; Demelash, N.; McClain, C. Groundwater Modelling Quality in the Cold Region of the Athabasca River Basin. Preprints2020, 2020110299. https://doi.org/10.20944/preprints202011.0299.v1
Meshesha, T.W.; Wang, J.; Demelash, N.; McClain, C. Groundwater Modelling Quality in the Cold Region of the Athabasca River Basin. Preprints 2020, 2020110299. https://doi.org/10.20944/preprints202011.0299.v1
Meshesha, T.W.; Wang, J.; Demelash, N.; McClain, C. Groundwater Modelling Quality in the Cold Region of the Athabasca River Basin. Preprints2020, 2020110299. https://doi.org/10.20944/preprints202011.0299.v1
APA Style
Meshesha, T.W., Wang, J., Demelash, N., & McClain, C. (2020). Groundwater Modelling Quality in the Cold Region of the Athabasca River Basin. Preprints. https://doi.org/10.20944/preprints202011.0299.v1
Chicago/Turabian Style
Meshesha, T.W., Nigus Demelash and Cynthia McClain. 2020 "Groundwater Modelling Quality in the Cold Region of the Athabasca River Basin" Preprints. https://doi.org/10.20944/preprints202011.0299.v1
Abstract
Groundwater is a vital resource for human welfare. However, due to various factors, groundwater pollution is one of the main environmental concerns facing. 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 considering No3 and TDS with R2, NSE and PBIAS values in the satisfied ranges, albeit underestimation and overestimation were observed due to limited data availability. These results highlight that nitrate and TDS concentrations and variability in groundwater may used as a tool in surface water quality that have to be assumed for designing adaptive management scenarios. Hence, extended SWAT model could be a powerful tool for future regional to global scale modelling of nutrient loads supporting effective surface and groundwater management.
Keywords
groundwater quality; extended SWAT model; water quality parameters; Athabasca River Basin
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
