Assessment of land management practices on soil erosion using SWAT model in a Tunisian semi-arid catchment

Mosbahi, Manel; Benabdallah, Sihem

doi:10.1007/s11368-019-02443-y

Cited by 33 publications

(9 citation statements)

References 16 publications

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“…Like the magnitude of the sediment yields, the performance of BMPs varies along different regions. The highest sediment yield reduction by parallel terraces compared to contour farming and reforestation was reported in the Tunisian semi-arid region [54]. Although the magnitude of the reduction varied, terracing was also reported with higher sediment yield reduction compared to contour farming in the Finchaa catchment.…”

Section: Discussionmentioning

confidence: 92%

“…Research experience showed that there is an increase in study reports on soil erosion and sediment yield with evaluation of different soil and water conservation practices using the SWAT model in different parts of the world. The study by Mosbahi and Benabdallah [54] reported that SWAT model was capable of identifying the optimal management practice under a specific land use in a Tunisian semi-arid catchment. The SWAT model was used to evaluate the effectiveness of contour farming and filter strips on ecosystem services in the Thika-Chania catchment, Kenya [55].…”

Section: Discussionmentioning

confidence: 99%

“…However, the severity of the sediment yield varies along a region. Mosbahi and Benabdallah [54] classified soil loss severity as high when the sediment yield is in the range of 10-20 t ha -1 yr -1 and very high when the yield exceeds 20 t ha −1 yr −1 in semi-arid areas. A high erosion rate is reported for when a sediment yield ranges from 7 to 13 t ha −1 yr −1 in the Carapelle watershed, Northern Apulia [56].…”

Section: Discussionmentioning

confidence: 99%

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Prioritization of Sub-Watersheds to Sediment Yield and Evaluation of Best Management Practices in Highland Ethiopia, Finchaa Catchment

Dibaba

Demissie

Miegel

2021

Land

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Excessive soil loss and sediment yield in the highlands of Ethiopia are the primary factors that accelerate the decline of land productivity, water resources, operation and function of existing water infrastructure, as well as soil and water management practices. This study was conducted at Finchaa catchment in the Upper Blue Nile basin of Ethiopia to estimate the rate of soil erosion and sediment loss and prioritize the most sensitive sub-watersheds using the Soil and Water Assessment Tool (SWAT) model. The SWAT model was calibrated and validated using the observed streamflow and sediment data. The average annual sediment yield (SY) in Finchaa catchment for the period 1990–2015 was 36.47 ton ha−1 yr−1 with the annual yield varying from negligible to about 107.2 ton ha−1 yr−1. Five sub-basins which account for about 24.83% of the area were predicted to suffer severely from soil erosion risks, with SY in excess of 50 ton ha−1 yr−1. Only 15.05% of the area within the tolerable rate of loss (below 11 ton ha−1yr−1) was considered as the least prioritized areas for maintenance of crop production. Despite the reasonable reduction of sediment yields by the management scenarios, the reduction by contour farming, slope terracing, zero free grazing and reforestation were still above the tolerable soil loss. Vegetative contour strips and soil bund were significant in reducing SY below the tolerable soil loss, which is equivalent to 63.9% and 64.8% reduction, respectively. In general, effective and sustainable soil erosion management requires not only prioritizations of the erosion hotspots but also prioritizations of the most effective management practices. We believe that the results provided new and updated insights that enable a proactive approach to preserve the soil and reduce land degradation risks that could allow resource regeneration.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Prioritization of Sub-Watersheds to Sediment Yield and Evaluation of Best Management Practices in Highland Ethiopia, Finchaa Catchment

Dibaba

Demissie

Miegel

2021

Land

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“…Pradhan et al [23] applied the SWAT model and an artificial neural network to basins in tropical, subtropical, arid, and semiarid regions in Asia and showed that the SWAT model and the artificial neural network model performed better when used in low-and high-flow simulations instead of average traffic, respectively. Mosbahi and Benabdallah [24] evaluated soil erosion land management in a semiarid watershed in Tunis using the SWAT model, and the SWAT model successfully reproduced the correlation between water flow, simulated runoff, and sediment yield. In addition, Mengistu et al [12] used a physical similarity regionalization method to allocate, calibrate, and verify, using the SWAT model in a catchment area where observed data were limited, and accordingly proposed a new method for estimating the water balance composition in a datadeficient area in South Africa.…”

Section: Introductionmentioning

confidence: 96%

Hydrological process simulation in Manas River Basin using CMADS

Yang

et al. 2020

Open Geosciences

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The inability to conduct hydrological simulations in areas that lack historical meteorological data is an important factor limiting the development of watershed models, understanding of watershed water resources, and ultimate development of effective sustainability policies. This study focuses on the Manas River Basin (MRB), which is a high-altitude area with no meteorological stations and is located on the northern slope of the Tianshan Mountains, northern China. The hydrological processes were simulated using the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) using the Soil and Water Assessment Tool (SWAT) model. Simulated runoff was corrected using calibration/uncertainty and sensitivity program for the SWAT. Through parameter sensitivity analysis, parameter calibration, and verification, the Nash–Sutcliffe efficiency (NSE), adjusted R-square ({R}_{\text{adj}}^{2}), and percentage bias (\text{PBIAS}) were selected for evaluation. The results were compared with statistics obtained from Kenswat Hydrological Station, where the monthly runoff simulation efficiency was \text{NSE}\hspace{.25em}=0.64, {R}_{\text{adj}}^{2}\hspace{.25em}=0.69, and \text{PBIAS}\hspace{.25em}=\mbox{--}0.9, and the daily runoff simulation efficiency was \text{NSE}\hspace{.25em}=0.75, {R}_{\text{adj}}^{2} = 0.75, \text{PBIAS} = −1.5. These results indicate that by employing CMADS data, hydrological processes within the MRB can be adequately simulated. This finding is significant, as CMADS provide continuous temporal, detailed, and high-spatial-resolution meteorological data that can be used to build a hydrological model with adequate accuracy in areas that lack historical meteorological data.

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“…The model assumes that all the eroded sediments within the HRU reach the river ( Lenhart et al, 2005 , de Vente et al, 2013 ). SWAT has been widely used for sediment yield modeling in several river basins across the globe at different spatial scales ( Betrie et al, 2011 , Tibebe and Bewket, 2011 ; Mosbahi et al, 2013 ; Phuong et al, 2014 ; Bonumá et al, 2015 ; Vigiak et al, 2017 ; Aga et al, 2018 ; Markhi et al, 2019 ; Mosbahi and Benabdallah, 2020 ; Shrestha et al, 2020 ) with limited applications on regional to continental sediment yield modeling. Previous studies have highlighted the sediment yield sensitivity issues of the model with regards to the resolution of input data ( Cotter et al, 2003 , Luzio et al, 2005 , Lin et al, 2013 ) and the spatial scale dependency of the MUSLE ( Chen and Mackay, 2004 , Vigiak et al, 2015 , Gwapedza et al, 2018a ).…”

Section: Introductionmentioning

confidence: 99%

Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin

Nkwasa

Chawanda

Griensven

2022

Journal of Hydrology: Regional Studies

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Assessment of land management practices on soil erosion using SWAT model in a Tunisian semi-arid catchment

Cited by 33 publications

References 16 publications

Prioritization of Sub-Watersheds to Sediment Yield and Evaluation of Best Management Practices in Highland Ethiopia, Finchaa Catchment

Prioritization of Sub-Watersheds to Sediment Yield and Evaluation of Best Management Practices in Highland Ethiopia, Finchaa Catchment

Hydrological process simulation in Manas River Basin using CMADS

Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin

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