Estimating sediment yield at Kaduna watershed, Nigeria using soil and water assessment tool (SWAT) model

Japheth, Daramola; Ekhwan, T. Mohd; Mokhtar, J.; Choy, Lam Kuok; Adeogun, G.A.

doi:10.1016/j.heliyon.2019.e02106

Cited by 23 publications

(12 citation statements)

References 29 publications

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“…5. This could results from observational data error, human interaction such as mining and quarry on the watershed (Daramola et al 2019). There are many quarries and concreate stations observed in the upper part of the watershed.…”

Section: 2sediment Yield Outputsmentioning

confidence: 99%

“…The Soil and Water Assessment Tool (SWAT) developed by Arnold et al (1998) is a physical based hydrological model that are used widely in literature for different purposes. Several researchers have been studied with SWAT for simulating runoff (Alipour and Hosseini 2018;Ang and Oeurng 2018;Jakada and Chen 2020), sediment yield (Xu et al 2009;Rodríguez-Blanco et al 2016), and water quality (Qi et al 2020;Abbaspour et al 2007); determine soil erosion areas (Vigiak et al 2015;Dutta and Sen 2017;Daramola et al 2019), in different watersheds. Additionally, the model has been applied to the impact of climate change (Zhang et al 2014); land use, and land cover changes; (Abellan et al 2019;Worku et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Modeling Streamflow and Sediment Yield with Determination of Soil Erosion Prone Areas by Using the SWAT Model

Karakoyun

Kaya

2022

Preprint

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In this study, the Soil and Water Assessment Tool (SWAT) was used to estimate the streamflow, sediment yield, and the identification of soil erosion prone areas at the sub-watershed scale to enrich the water management practices. The upper part of the Euphrates-Tigris basin called as Murat River basin was selected as a study area. Nash-Sutcliffe Efficiency (NSE), coefficient of determination (R2), and percent bias (PBIAS) were used for the assessment of the model performance with the observed data at two gage stations located on the watershed, E21A074, and E21A077. The Modified Universal Soil Loss Equation was used in the SWAT model in order to predict sediment yield and soil erosion. Sediment Delivery Ratio was also computed to identify its relationship with sediment yield at the sub-watershed scale. NSE, R2, and PBIAS for monthly streamflow prediction were calculated as 0.71, 0.72, and -11.6 in the calibration period, as 0.77, 0.79, and -9.1 in the validation period, at the station E21A077, respectively. Daily simulation the results of NSE, R2, and PBIAS were calculated as 0.56, 0.57, and -15 in the calibration period, while 0.55, 0.56, and 1.2, respectively, in the validation period at the station E21A074. The statistical results for monthly sediment yield calibration and validation were calculated as follows: 0.75 and 0.80 for NSE, 0.76 and 0.84 for R2, -0.9 and 12.2 for PBIAS from the station E21A074. 32% area of the total watershed is under severe and very severe soil erosion conditions. Most of the soil erosion occurred at the barren land use and in the sub-watersheds with a slope greater than 25%. Overall, the SWAT model satisfactorily simulated the streamflow and sediment yield at the Murat River basin which may help the researchers in water resource management.

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Section: 2sediment Yield Outputsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling Streamflow and Sediment Yield with Determination of Soil Erosion Prone Areas by Using the SWAT Model

Karakoyun

Kaya

2022

Preprint

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“…A sensitivity analysis for the simulated stream flow and sediment was carried out to determine the most sensitive parameter with the greatest impact on model results. According to the SWAT manual and the literature (Khelifa et al, 2017, Yuan & Forshay, 2019, Daramola et al, 2019, nine (Table 2) and seven (Table 3) parameters for stream flow and sediment were respectively selected as the initial input for the model sensitivity analysis.…”

Section: Sensitivity Analysismentioning

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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“…Abam (2001) confirmed that river Kaduna, a tributary of the Shiroro river (the study area) receives sediment influx of about 96 t/km 2 (66.6x10 6 ) ton per year. While Daramola (2019) affirmed that Shiroro dam received annual sediment influx of about 84.1 t/ha/yr from the four reaches that supply water to the dam namely Kaduna, Gutalu, Sarkinpawa and Dinya. Adeogun, Sule and Salami (2018), corroborates this fact that information gathered on the three Nigeria hydropower reservoirs (Shiroro, Kanji and Jebba) confirmed that the storage capacities of these dams have been critically affected by substantial movement and deposition of sediment from upstream of the dams to the reservoirs.…”

Section: Introductionmentioning

confidence: 97%

Assessment of landuse/landcover dynamics of Kaduna watershed, using remote sensing data and GIS techniques

et al. 2022

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Watershed assessment and developmental strategy demands precise measurement of the past and present land use parameters. Failure of Shiroro dam in 1999 and 2004 was attributes to upstream soil erosion. Hence, the study of land use change within the corridors of the reservoir for proper understanding of the watershed dynamics becomes very crucial. These dynamics was studied for a period of 38 years in the Kaduna watershed, north central Nigeria using Soil and Water Assessment Tool. The land-use land cover of the year 1975, 2000, and 2013 was reclassified into nine (9) classes in 1975 and eight (8) classes in 2000 and 2013, because of the extinction of Forest evergreen land use between 1975 and 2000.The classification shows the percentage land area of each of the land use type and the area in hectares. Findings revealed total extinction of the 0.03% of Forest evergreen land before 2000, in 2013 range grasses, forestmixed and wetlands-forested land-use have lost 23.92%, 2.06%, 3.77%, watershed land area respectively while, wetlands-mixed, agricultural land, water, barren and built-up land gained 0.18%, 27.81%, 0.53%, 0.02% and 1.25% respectively as at 2013. The lost in land-use area was attributed to human activities such as clearing and degradation of the natural landscape to another land-use type which posed a stern threat to the Shiroro dam downstream and the environment. If this persists it might contribute to global warming problems and land exposure to agents of erosion. Thus, appropriate best management practice of the watershed become essential.

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Estimating sediment yield at Kaduna watershed, Nigeria using soil and water assessment tool (SWAT) model

Cited by 23 publications

References 29 publications

Modeling Streamflow and Sediment Yield with Determination of Soil Erosion Prone Areas by Using the SWAT Model

Modeling Streamflow and Sediment Yield with Determination of Soil Erosion Prone Areas by Using the SWAT Model

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

Assessment of landuse/landcover dynamics of Kaduna watershed, using remote sensing data and GIS techniques

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