Revisiting the application of the SWAT model in arid and semi-arid regions: a selection from 2009 to 2022

Rocha, Ana Karlla Penna; Souza, Luciana Sandra Bastos de; Montenegro, Abelardo Antônio de Assunção; Souza, Werônica Meira de; Silva, Thieres George Freire da

doi:10.1007/s00704-023-04546-6

Cited by 2 publications

(1 citation statement)

References 170 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SWAT model was used in this study for its capacity to comprehensively consider water and nutrient balance components at the watershed scale with physically based, efficient computational, and open source attributes . These characteristics have made SWAT one of the most commonly used hydrologic and water quality models (Rocha et al, 2023;Tan et al, 2020). The model simulates the entry of N into the soil through various pathways and its losses through runoff, leaching, plant uptake, denitrification, and so on (Neitsch et al, 2011).…”

Section: N Balance In the Swat Model With The Improved Co 2 Modulementioning

confidence: 99%

Assessing the Response Mechanisms of Elevated CO₂ Concentration on Various Forms of Nitrogen Losses in the Golden Corn Belt

Zhang,

Han,

Wen

et al. 2024

Water Resources Research

View full text Add to dashboard Cite

Nitrogen (N) loss is a significant source of water quality pollution in alluvial watersheds. However, the mechanisms linking N loss and elevated CO2 concentration (eCO2) are not well recognized. In this study, we comprehensively calibrated the SWAT model equipped with a dynamic CO2 input and response module to investigate the response mechanisms between multiform N losses and eCO2 in a representative large‐scale watershed. Results revealed nitrate loss under eCO2 exceeding 100% in some upstream zones under the SSP5‐8.5 scenario (P < 0.05) compared to the constant CO2 concentration. This was directly related to the great increase in hydrological variables, which were the carriers of N losses, and the intensive inputs of N fertilizer. Results also found that nitrate leaching was greater than the other two processes for future periods, peaking at 309.3%, as compared to the baseline period. The findings suggested reducing fertilizer inputs by 10%–20% was promising, especially for reducing nitrate loss through runoff and leaching by up to 17.7% and 12.2%. This study explored the mechanisms of increased N loss in response to eCO2 and provided scientific evidence for early warning and making decisions to improve water quality at a large watershed scale.

show abstract

Section: N Balance In the Swat Model With The Improved Co 2 Modulementioning

confidence: 99%

Assessing the Response Mechanisms of Elevated CO₂ Concentration on Various Forms of Nitrogen Losses in the Golden Corn Belt

Zhang,

Han,

Wen

et al. 2024

Water Resources Research

View full text Add to dashboard Cite

show abstract

SWAT-Driven Exploration of Runoff Dynamics in Hyper-Arid Region, Saudi Arabia: Implications for Hydrological Understanding

Hussain,

Niyazi,

Elfeki

et al. 2024

Water

View full text Add to dashboard Cite

Hydrological modeling plays a vital role in water-resource management and climate-change studies in hyper-arid regions. In the present investigation, surface runoff was estimated by a Soil and Water Assessment Tool (SWAT) model for Wadi Al-Aqul, Saudi Arabia. The Sequential Uncertainty Fitting version 2 (SUFI-2) technique in SWAT-CUP was adopted for the sensitivity analysis, calibration, and validation of the SWAT model’s components. The observational runoff data were scarce and only available from 1979 to 1984; such data scarcity is a common problem in hyper-arid regions. The results show good agreement with the observed daily runoff, as indicated by a Pearson Correlation Coefficient (r) of 0.86, a regression (R2) of 0.76, and a Nash–Sutcliffe coefficient (NSE) of 0.61. Error metrics, including the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), were notably low at 0.05 and 0.58, respectively. In the daily validation, the model continued to perform well, with a correlation of 0.76 and regression of 0.58. As a new approach, fitted parameters of daily calibration were incorporated into the monthly simulation, and they demonstrated an even better performance. The correlation coefficient (regression) and Nash–Sutcliffe were found to be extremely high during the calibration period of the monthly simulation, reaching 0.97 (0.95) and 0.73, respectively; meanwhile, they reached 0.99 (0.98) and 0.63 in the validation period, respectively. The sensitivity analysis using the SUFI-2 algorithm highlighted that, in the streamflow estimation, the Curve Number (CN) was found to be the most responsive parameter, followed by Soil Bulk Density (SOL_BD). Notably, the monthly results showed a higher performance than the daily results, indicating the inherent capability of the model in regard to data aggregation and reducing the impact of random fluctuations. These findings highlight the applicability of the SWAT model in predicting runoff and its implication for climate-change studies in hyper-arid regions.

show abstract

Revisiting the application of the SWAT model in arid and semi-arid regions: a selection from 2009 to 2022

Cited by 2 publications

References 170 publications

Assessing the Response Mechanisms of Elevated CO₂ Concentration on Various Forms of Nitrogen Losses in the Golden Corn Belt

Assessing the Response Mechanisms of Elevated CO₂ Concentration on Various Forms of Nitrogen Losses in the Golden Corn Belt

SWAT-Driven Exploration of Runoff Dynamics in Hyper-Arid Region, Saudi Arabia: Implications for Hydrological Understanding

Contact Info

Product

Resources

About

Revisiting the application of the SWAT model in arid and semi-arid regions: a selection from 2009 to 2022

Cited by 2 publications

References 170 publications

Assessing the Response Mechanisms of Elevated CO2 Concentration on Various Forms of Nitrogen Losses in the Golden Corn Belt

Assessing the Response Mechanisms of Elevated CO2 Concentration on Various Forms of Nitrogen Losses in the Golden Corn Belt

SWAT-Driven Exploration of Runoff Dynamics in Hyper-Arid Region, Saudi Arabia: Implications for Hydrological Understanding

Contact Info

Product

Resources

About

Assessing the Response Mechanisms of Elevated CO₂ Concentration on Various Forms of Nitrogen Losses in the Golden Corn Belt

Assessing the Response Mechanisms of Elevated CO₂ Concentration on Various Forms of Nitrogen Losses in the Golden Corn Belt