Modelling Watershed and River Basin Processes in Cold Climate Regions: A Review

Wang, Junye; Shrestha, Narayan Kumar; Delavar, Mojtaba Aghajani; Meshesha, Tesfa Worku; Bhanja, Soumendra N.

doi:10.3390/w13040518

Cited by 15 publications

(10 citation statements)

References 139 publications

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“…The TDS is indicator of the availability of total dissolved salt and other parameter that affect the groundwater quality. The availability of high electrical conductivity and observed TDS in the groundwater indicate a downward movement of leachate into the groundwater 69 – 71 . The TDS loads of the groundwater in the study area ranges 528.05 mg/L to 412.2 mg/L at ABG0215416 and ABG0220481 stations, respectively.…”

Section: Resultsmentioning

confidence: 99%

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

Meshesha

Wang

Melaku

et al. 2021

Sci Rep

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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 (R2), Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS) values in the satisfied ranges. While the values of R2, 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 R2, 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.

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Section: Resultsmentioning

confidence: 99%

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

Meshesha

Wang

Melaku

et al. 2021

Sci Rep

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“…Each sub-basin is divided into areas of homogenous land-use, soil, and slope; these are called hydrologic response units (HRUs) [57]. SWAT can simulate a number of different physical processes, such as snowfall and melt, vadose zone processes (infiltration, evaporation, plant uptake, lateral flows, and percolation), and groundwater flows in a basin [57]. The stream flow and runoffs are predicted separately for each HRU and routed, using a variable channel routing method [58,59], to obtain the total stream flow and runoff at the outlet of a basin.…”

Section: Swat Model Descriptionmentioning

confidence: 99%

“…In SWAT, a basin is divided into multiple sub-watersheds or sub-basins to incorporate spatial heterogeneity in terms of land use land cover, soil type, and topography. Each sub-basin is divided into areas of homogenous land-use, soil, and slope; these are called hydrologic response units (HRUs) [57]. SWAT can simulate a number of different physical processes, such as snowfall and melt, vadose zone processes (infiltration, evaporation, plant uptake, lateral flows, and percolation), and groundwater flows in a basin [57].…”

Section: Swat Model Descriptionmentioning

confidence: 99%

Assessing Impacts of Land Use and Land Cover (LULC) Change on Stream Flow and Runoff in Rur Basin, Germany

et al. 2023

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Understanding the impact of land use/land cover (LULC) change on hydrology is the key to sustainable water resource management. In this study, we used the Soil and Water Assessment Tool (SWAT) to evaluate the impact of LULC change on the runoff in the Rur basin, Germany. The SWAT model was calibrated against the observed data of stream flow and runoff at three sites (Stah, Linnich, and Monschau) between 2000 and 2010 and validated between 2011 and 2015. The performance of the hydrological model was assessed by using statistical parameters such as the coefficient of determination (R2), p-value, r-value, and percentage bias (PBAIS). Our analysis reveals that the average R2 values for model calibration and validation were 0.68 and 0.67 (n = 3), respectively. The impacts of three change scenarios on stream runoff were assessed by replacing the partial forest with urban settlements, agricultural land, and grasslands compared to the 2006 LULC map. The SWAT model captured, overall, the spatio-temporal patterns and effects of LULC change on the stream runoffs despite the heterogeneous runoff responses related to the variable impacts of the different LULC. The results show that LULC change from deciduous forest to urban settlements, agricultural land, or grasslands increased the overall basin runoff by 43%, 14%, and 4%, respectively.

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“…Thus, the development of advanced numerical modelling tools of permafrost dynamics is an active research field (e.g. : [37,9,26,5,20,32,60,63,67]), in order to help predicting the impact of permafrost thaw on arctic thermo-hydrologic functioning and providing mechanistic understanding of Arctic environmental changes under climate warming. This knowledge is necessary to further understand carbon cycling and contaminant/nutrient transport, to assess risks and opportunities for water resources, sustainable urbanization, agriculture and general sustainable development of the (sub-)Arctic.…”

Section: Introductionmentioning

confidence: 99%