Application of SWAT Model to the Olifants Basin: Calibration, Validation and Uncertainty Analysis

Gyamfi, Charles; Ndambuki, Julius M.; Salim, Ramadhan Wanjala

doi:10.4236/jwarp.2016.83033

Cited by 36 publications

(19 citation statements)

References 20 publications

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“…Spatial distribution of sediment yield was done in ArcGIS 10.2 environment. Figure 4 shows simulated and observed streamflow for both calibration and validation periods [19]. Sediment was also satisfactorily modeled with simulated sediment matching fairly with the observed (Figure 5).…”

Section: Discussionsupporting

confidence: 61%

Spatio-temporal Variability Modelling of Sediment Yield in a Semi Arid River Basin: The Swat Approach

Gyamfi¹,

Ndambuki²,

Salim³

2016

Environment and Water Resource Management / 837: Health Informatics / 838: Modelling and Simulation / 839: Power and Energy Sys

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Anthropogenic activities in river basins have culminated into land use and land cover changes (LULCCs) resulting in environmental consequences of sediment generation. Understanding the role that LULCCs play in the dynamics of sediment yield would greatly enhance decision making processes that borders on land use and water resources management. We investigated the impacts of LULCCs on sediment yield dynamics through an integrated approach of hydrologic modelling and principal component analysis (PCA). A three phase land use scenario (2000, 2007 and 2013) employing the "fix-changing" method was used to simulate the sediment yield of the Olifants Basin. Annual sediment yield for the basin for 2000, 2007 and 2013 were respectively 946.76 t/km 2 .a, 1110.02 t/km 2 .a and 1408.27t/km 2 .a. Our results indicate that sediment yield dynamics in the study area is significantly attributed to the changes in agriculture, urban and forested lands. Changes in agriculture and urban lands positively influenced sediment yield dynamics of the Olifants Basin. On the contrary, forested areas had a negative relationship with sediment yield indicating less sediment yield from these areas. The output of this research work provides a simplistic approach of evaluating the impacts of land use changes on sediment yield. The tools and methods used are relevant for policy directions on land and water resources planning. KEY WORDS Land use/land cover change; Olifants Basin; Sediment yield; Spatio-temporal; SWAT.

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Section: Discussionsupporting

confidence: 61%

Spatio-temporal Variability Modelling of Sediment Yield in a Semi Arid River Basin: The Swat Approach

Gyamfi¹,

Ndambuki²,

Salim³

2016

Environment and Water Resource Management / 837: Health Informatics / 838: Modelling and Simulation / 839: Power and Energy Sys

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“…In recent years, distributed hydrological models have been widely used to evaluate the hydrological effects of climate and land use changes. In many distributed hydrological models, the SWAT (Soil and Water Assessment Tool) model has been widely used in the simulation of basin water balance, long-term surface runoff and daily average runoff (Gyamfi et al, 2016). A large number of domestic studies have adopted models to simulate the effects of climate and land-use changes on the hydrological cycle of a river basin; in particular, these models have provided a basis for large-scale complex basin applications (e.g., the Haihe River Basin (Zhang and Chen, 2009), Yellow River Basin (Wang and Zheng, 2014), and Huaihe River Basin (Yang and Chen, 2017).…”

Section: Introductionmentioning

confidence: 99%

Impact of Changes in Land Use and Climate on the Runoff Based on Swat Model in Dawen River Basin, China

Zhao¹,

Gao²,

Zou³

et al. 2019

Appl. Ecol. Env. Res.

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A distributed hydrological model (SWAT), which is widely used both domestically and internationally, was selected to quantitatively analyze the impact of land use and climate change on runoff in this paper in Dawen River Basin, China. The calibration and validation results obtained at Daicunba and Laiwu hydrological stations yield R 2 values of 0.83 and 0.80 and 0.73 and 0.69 and the Ens values of 0.79 and 0.76 and 0.71 and 0.72, respectively. Taking 1980-1990 as the reference period, the annual runoff increased by 288 million m 3 , which was caused by changes in the land use of basin from 1991 to 2004, whereas the annual runoff decreased by 132 million m 3 due to climate change. Land use changed from 2005 to 2015, which resulted in an increase in annual runoff of 13 million m 3 , and annual changes in climate caused a decrease in annual runoff of 61 million m 3 . An extreme land use scenario simulation analysis shows that, compared to the current land use simulation in 2000, the runoff of cultivated land scenarios and forest land scenarios was reduced by 38.3% and 19.8%, respectively, and the runoff of grassland scenarios increased by 4.3%. Climate change simulation analysis revealed that there was a positive correlation between runoff changes and precipitation changes in the river basin. The annual total runoff in the basin decreases with rising temperatures and decreases with decreasing temperatures, which showed that the impact of precipitation variability was stronger than that of change in air temperature.

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“…The first 8 years prior to 1988 were used as a warm up period to mitigate unknown initial conditions. Sensitive parameters to streamflow with their fitted values (Table 3) were adapted from Gyamfi et al [32]. The model performance was evaluated using four objective functions namely; coefficient of determination (R 2 ), Nash-Sutcliffe efficiency (NSE), Root Mean Square Error (RMSE) observations standard deviation ratio (RSR) and percent bias (PBIAS).…”

Section: Model Calibration and Validationmentioning

confidence: 99%

Hydrological Responses to Land Use/Cover Changes in the Olifants Basin, South Africa

Gyamfi

Ndambuki

Salim

2016

Water

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107

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This paper discusses the hydrological impacts of land use changes on the Olifants Basin in South Africa using the Soil and Water Assessment Tool (SWAT). A three-phase land use scenario (2000, 2007 and 2013) employing the "fix-changing" method was used to simulate the hydrology of the Olifants Basin. Changes in land uses were related to different hydrological responses through a multi-regression analysis to quantify the effects of land use changes. Results reveal that from 2000 to 2013, a 31.6% decrease in rangeland with concomitant increases in agriculture lands (20.1%), urban areas (10.5%) and forest (0.7%) led to a 46.97% increase in surface runoff generation. Further, urbanization was revealed as the strongest contributor to increases in surface runoff generation, water yield and evapotranspiration (ET). ET was found to be a key water availability determinant as it has a high negative impact on surface runoff and water yield. Urbanization and agriculture were the most essential environmental factors influencing water resources of the basin with ET playing a dominant role. The output of the paper provides a simplistic approach of evaluating the impacts of land use changes on water resources. The tools and methods used are relevant for policy directions on water resources planning and adaptation of strategies.

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Application of SWAT Model to the Olifants Basin: Calibration, Validation and Uncertainty Analysis

Abstract: Abstract

Cited by 36 publications

References 20 publications

Spatio-temporal Variability Modelling of Sediment Yield in a Semi Arid River Basin: The Swat Approach

Spatio-temporal Variability Modelling of Sediment Yield in a Semi Arid River Basin: The Swat Approach

Impact of Changes in Land Use and Climate on the Runoff Based on Swat Model in Dawen River Basin, China

Hydrological Responses to Land Use/Cover Changes in the Olifants Basin, South Africa

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