Assessment of Sediment Yield Using Swat Model: Case Study of Kebir Watershed, Northeast of Algeria

Khanchoul, Kamel; Amamra, Amina; Saaidia, Bachir

doi:10.26480/bdwre.02.2020.36.42

Cited by 6 publications

(8 citation statements)

References 20 publications

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“…It was initially developed to predict the impact of land management practices on water, sediment and chemical yields in agricultural watersheds (Arnold et al, 1998;Winchell et al, 2007;Anteneh et al, 2023) but, since then, it has been widely used to understand the hydrological cycle in general, simulating the effect of land use hydrology, water quality and ecosystem services, to eventually derive sediment yield and soil management practices (e.g., Qiu and Wang, 2014;Xue et al, 2014;Dibaba et al, 2021;Kenea et al, 2021;Lin et al, 2022). There is ample literature proving the validity of SWAT in modelling soil erosion and transport processes (see, among many others, Setegn et al, 2010;Phuong et al, 2014;Cousino et al, 2015;Djebou, 2018;Dakhlalla and Parajuli, 2019;Khanchoul et al, 2020).…”

Section: Soil and Water Assessment Tool Model Description And Setupmentioning

confidence: 99%

SWAT model-based quantification of the impact of land use land cover change on sediment yield in the Fincha watershed, Ethiopia

Regasa,

Nones

2023

Front. Environ. Sci.

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In recent years, Ethiopia is facing problems due to soil erosion, mainly because of the conversion of natural vegetation into cultivated land to answer to increasing human pressure. Such changes in coverage are fostering soil erosion, which is also affecting dam reservoirs, because of the increasing sediment yield entering the lake. The present study focuses on the Ethiopian Fincha watershed and takes advantage of the potentiality of the Soil and Water Assessment Tool (SWAT) model, to investigate how land use land cover changes impact soil erosion and the consequent sediment yield entering the Fincha Dam. The SWAT model was calibrated and validated using time series data of stream flow and sediment covering the period 1986-2008, and its performance was evaluated by looking at the coefficient of determination, Nash-Sutcliffe simulation efficiency, and per cent bias. Once validated, the SWAT model was applied to derive sediment yield for the future 30 years, based on forecasted land use land cover conditions. The results show that the mean annual soil loss rate increased from 32.51 t ha−1 in 1989 to 34.05 t ha−1 in 2004, reaching 41.20 t ha−1 in 2019. For the future, a higher erosion risk should be expected, with the annual soil loss rate forecasted to be 46.20 t ha−1 in 2030, 51.19 t ha−1 in 2040, and 53.98 t ha−1 in 2050. This soil erosion means that sediments transported to the Fincha Dam, located at the watershed outlet, increased significantly in the last 30 years (from 1.44 in 1989 to 2.75 mil t in 2019) and will have the same trend in the future (3.08–4.42 mil t in 2020 and 2050, respectively), therefore highly affecting the Fincha reservoir services in terms of reduction of water volume for irrigation and hydroelectric power generation. By providing possible medium/long-term scenarios, the present work can help land planners and decision-makers in developing future land management strategies based on actual projections, eventually aiming to reduce soil erosion at the watershed scale and guarantee the sustainable development of the Fincha region and its key hydraulic infrastructures.

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Section: Soil and Water Assessment Tool Model Description And Setupmentioning

confidence: 99%

SWAT model-based quantification of the impact of land use land cover change on sediment yield in the Fincha watershed, Ethiopia

Regasa,

Nones

2023

Front. Environ. Sci.

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“…SWAT was initially developed to predict the impact of land management practices on water, sediment and chemical yields in agricultural watersheds (Arnold et al, 1998;Winchell et al, 2007) but, since then, it has been widely used to understand the hydrological cycle in general, simulating the effect of land use hydrology, water quality and ecosystem services, to eventually derive sediment yield and soil management practices (e.g., Qiu et al, 2014;Xue et al 2014;Dibaba et al 2021;Kenea et al, 2021;Lin et al, 2022). There is ample literature proving the validity of SWAT 5 in modelling soil erosion and transport processes (e.g., Setegn et al, 2010;Phuong et al 2014;Cousino et al 2015;Djebou et al 2018;Dakhlalla & Parajuli, 2019;Khanchoul et al 2020).…”

Section: Swat Model Descriptionmentioning

confidence: 99%

SWAT model-based quantification of the impact of land use change on sediment yield in the Fincha watershed, Ethiopia

Regasa¹,

Nones²

2022

Preprint

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In recent years, Ethiopia is facing problems due to soil erosion, mainly because of the conversion of natural vegetation cover into cultivated land. Soil erosion is also affecting dam reservoirs, which are threatened by an increase in sediment yield entering the lake. The present study focuses on the Ethiopian Fincha watershed and takes advantage of the potentiality of SWAT, to investigate how land use land cover changes impact soil erosion and the consequent sediment yield entering the Fincha Dam, eventually suggesting potential management strategies. The SWAT model was calibrated and validated using time series data of stream flow and sediment from 1986 – 2008 years, and its performance was evaluated by looking at the coefficient of determination, Nash-Sutcliffe simulation efficiency, and per cent bias. Once validated, the SWAT model was applied to derive sediment yield for the future thirty years, based on forecasted land use land cover conditions. The results show that the mean annual soil loss rate increased from 32.51 t ha-1 in 1989 to 34.05 t ha-1 in 2004, reaching 41.20 t ha-1 in 2019. For the future, a higher erosion risk should be expected, with the annual soil loss rate forecasted to be 46.20 t ha-1 in 2030, 51.19 t ha-1 in 2040, and 53.98 t ha-1 in 2050. This soil erosion means that sediments transported to the Fincha Dam, located at the watershed outlet, increased significantly in the last thirty years (from 1.44 in 1989 to 2.75 mil t in 2019) and will have the same trend in the future (3.08 to 4.42 mil t in 2019 and 2050, respectively), therefore highly affecting the Fincha reservoir services in terms of reduction of water volume for irrigation and hydroelectric power generation.

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“…Nevertheless, application of these models usually requires different physiographic factors such as topography, soils characteristics and land use (Lisitisyna and Aleksandrova 1972;Merritt et al 2003). Recent advances in Geographic Information System (GIS) tools and remote sensing technologies have overcome many difficulties and limitations in running these models (Khanchoul et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the principal advantage of SWAT is that it can assess the impact of land management practices on water quantity and water quality in large complex watershed with varying soils, land use and management conditions (Premanand et al 2018, Khanchoul et al 2020. This model requires several input data, which consists of the Digital Elevation Model (DEM), land-use, soil types and meteorological data (Ndomba et al 2008;Shivhare et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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SWAT model application for sediment yield modeling and parameters analysis in Wadi K’sob (Northeast of Algeria)

Maref

Baahmed

Bemmoussat

et al. 2022

Preprint

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A comprehension of the erosion processes and sediment transport in the watershed is essential for the sustainable management of the water resources and soil fertility. In this study, the Water Assessment Tool (SWAT) model was applied to demonstrate its ability to modeling the suspended sediment transport in the Wadi K’sob basin (Northeast of Algeria). The data used to set up the SWAT model are the Digital Elevation Model (DEM), land use, soil types and weather data. The calibration was carried out using daily sediment yield data corresponding to two (2) periods( 10/10/2006 to 06/17/2007 and 10/29/2012 to 10/22/2013) and validation was performed using two (2) other periods (06/18/2007 to 11/19/2007 and 10/23/2013 to 09/13/2014) of daily sediment yield. R-SWAT code was used for calibration process and sensitivity analysis. The performance of the SWAT model was evaluated by the Nash–Sutcliffe criterion (NSE) and coefficient of determination (R2). The results obtained after calibration oscillating between good and satisfactory where (NSE = 0.67 and R2 = 0.73) in the first calibration period and (NSE = 0.65 b and R2 = 0.67) in the second period. For validation, the performance of the SWAT model was very good (NSE = 0.78 and R2 = 0.79) in the first period while in the second period the prediction of the model was satisfactory (NSE = 0.52 and R2 = 0.54). In addition, the validation process revealed that some parameters are stable and related on watershed characteristics while other unstable parameters depend on soil properties especially soil permeability and soil erodibility.

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Assessment of Sediment Yield Using Swat Model: Case Study of Kebir Watershed, Northeast of Algeria

Cited by 6 publications

References 20 publications

SWAT model-based quantification of the impact of land use land cover change on sediment yield in the Fincha watershed, Ethiopia

SWAT model-based quantification of the impact of land use land cover change on sediment yield in the Fincha watershed, Ethiopia

SWAT model-based quantification of the impact of land use change on sediment yield in the Fincha watershed, Ethiopia

SWAT model application for sediment yield modeling and parameters analysis in Wadi K’sob (Northeast of Algeria)

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