Modeling stream flow and sediment yield using the SWAT model: a case study of Ankara River basin, Turkey

Duru, Umit; Arabi, Mazdak; Wohl, Ellen

doi:10.1080/02723646.2017.1342199

Cited by 48 publications

(34 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Yesuf et al [37] optimized the parameters of the SWAT using monthly observed sediment yield data at a monitoring site in Maybar experimental watershed, Ethiopia. Duru et al [38] used the SWAT to generate a soil erosion map and concluded that significant portions of urbanized and highly cultivated areas in the vicinity of stream channels are particularly vulnerable to soil erosion.…”

Section: Introductionmentioning

confidence: 99%

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

Wang

Yao

Liu

et al. 2019

Water

View full text Add to dashboard Cite

Runoff erosion capacity has significant effects on the spatial distribution of soil erosion and soil losses. But few studies have been conducted to evaluate these effects in the Loess Plateau. In this study, an adjusted SWAT model was used to simulate the hydrological process of the Xihe River basin from 1993 to 2012. The spatial variabilities between runoff erosion capacity and underlying surface factors were analyzed by combining spatial gradient analysis and GWR (Geographically Weighted Regression) analysis. The results show that the spatial distribution of runoff erosion capacity in the studying area has the following characteristics: strong in the north, weak in the south, strong in the west, and weak in the east. Topographic factors are the dominant factors of runoff erosion in the upper reaches of the basin. Runoff erosion capacity becomes stronger with the increase of altitude and gradient. In the middle reaches area, the land with low vegetation coverage, as well as arable land, show strong runoff erosion ability. In the downstream areas, the runoff erosion capacity is weak because of better underlying surface conditions. Compared with topographic and vegetation factors, soil factors have less impact on runoff erosion. The red clay and mountain soil in this region have stronger runoff erosion capacities compared with other types of soils, with average runoff modulus of 1.79 × 10−3 m3/s·km2 and 1.68 × 10−3 m3/s·km2, respectively, and runoff erosion power of 0.48 × 10−4 m4/s·km2 and 0.34 × 10−4 m4/s·km2, respectively. The runoff erosion capacity of the alluvial soil is weak, with an average runoff modulus of 0.96 × 10−3 m3/s·km2 and average erosion power of 0.198 × 10−4 m4/s·km2. This study illustrates the spatial distribution characteristics and influencing factors of hydraulic erosion in the Xihe River Basin from the perspective of energy. It contributes to the purposeful utilization of water and soil resources in the Xihe River Basin and provides a theoretical support for controlling the soil erosion in the Hilly-gully region of the Loess Plateau.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

Wang

Yao

Liu

et al. 2019

Water

View full text Add to dashboard Cite

show abstract

“…For instance, an evaluation of the SWAT model in simulating sediment yield in the watershed of Lake Jebba in Nigeria revealed satisfactory performance for streamflow and sediment yield predictions in the watershed [22]. In another study, Duru [2] applied the SWAT model to simulate water balance, stream flow, and sediment yield in the Cubuk I and Cubuk II reservoirs of Turkey, and the model performed well for both streamflow and suspended sediment load estimation. Palazon and Navas [23] also showed that the SWAT model can be used as a useful approach for sediment yield assessment.…”

Section: Introductionmentioning

confidence: 99%

“…Sediment yield can be described as the amount of sediment that would enter into a reservoir located at the outlet of the basin [1]. It is the net result of soil erosion and processes of sediment accumulation, so it depends on variables that control water and sediment discharge to reservoirs [2]. Sediment yield is influenced by many factors, which include topography, soil, climate, land use, and drainage characteristics [3][4][5][6].…”

mentioning

confidence: 99%

The Effect of Climate Change on Loss of Lake Volume: Case of Sedimentation in Central Rift Valley Basin, Ethiopia

et al. 2018

View full text Add to dashboard Cite

Evaluating the impact of climate change on sediment yield has become one of the major topics in climate research. The purpose of this study was to investigate sediment yield contribution to lake volume change under changing climatic conditions in the Central Rift Valley Basin. The ensemble mean of five regional climate models (RCMs) in the coordinated regional climate downscaling experiment (CORDEX)-Africa was considered for the purpose of this study. The climate variables (precipitation, minimum and maximum temperatures) in RCMs were bias corrected against observed data using linear scaling (LS), power transformation (PT), variance of scaling (VS), and quantile mapping (QM). Two emission scenarios, the Representative Concentration Pathways, RCP4.5 and RCP8.5, were considered for the future scenario period . Better results were obtained when the ensemble values of the bias correction methods were used. Hence, the projected values of climate variables after bias correction were used in the Soil and Water Assessment Tool (SWAT) hydrological model to estimate the sediment yield contribution to lake volume change due to climate change. The results show that the average projected precipitation will decrease by 7.97% and 2.55% under RCP4.5 and RCP8.5, respectively. On average, the maximum temperature will increase by 1.73 • C and 2.36 • C under RCP4.5 and RCP8.5, respectively, while the minimum temperature will increase by 2.16 • C and 3.07 • C under RCP4.5 and RCP8.5, respectively. The average annual sediment yield contributions to Lake Ziway were 431.05 ton/km 2 and 322.82 ton/km 2 for the Meki and Ketar rivers, respectively, in the historical period . The study also reveals that the annual sediment yield that was estimated for the Meki River was 323 ton/km 2 and 382 ton/km 2 under RCP4.5 and under RCP8.5, respectively. The sediment estimations for the Ketar River were 157 ton/km 2 and 211 ton/km 2 under RCP4.5 under RCP8.5, respectively. This will decrease the rate of volume change in Lake Ziway by 38% under RCP4.5 and by 23% under RCP8.5. The results show that the life expectancy of the lake is likely to increase under climate change scenarios. This will help water resources managers make informed decisions regarding the planning, management, and mitigation of the river basins.Hydrology 2018, 5, 67 2 of 18 reservoirs, ponds, and rivers. The sedimentation of the water bodies reduces their capacity and the useful lifespan of the reservoir. Sediment yield can be described as the amount of sediment that would enter into a reservoir located at the outlet of the basin [1]. It is the net result of soil erosion and processes of sediment accumulation, so it depends on variables that control water and sediment discharge to reservoirs [2]. Sediment yield is influenced by many factors, which include topography, soil, climate, land use, and drainage characteristics [3][4][5][6]. The problem of sedimentation is aggravated by human activities and climate change. A study conducted by Belete [7] on Lake Hawasa showed that sediment...

show abstract

“…Various hydrological modeling studies have been carried out to determine the water budgets of watersheds [9]. Hydrological models used in these studies are WEAP (Water Evaluation and Planning System) [10][11][12][13][14][15][16][17][18], SWAT (Soil and Water Assessment Tool) [19][20][21][22][23][24][25][26][27][28][29][30], HYPE (Hydrological Predictions for the Environment) [31][32][33][34][35][36][37], MIKE SHE (Système Hydrologique Européen) [38][39][40], HEC-HMS (Hydrologic Engineering Center Hydrologic Modeling System) [41][42][43][44], SWIM (Soil and Water Integrated Model) [45][46][47][48][49], and HSPF (Hydrological Simulation Program-Fortran) [50][51][52][53].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Water Budget Components of the Sakarya River Basin by Using the WEAP-PGM Model

Yaykiran

Cüceloğlu

Ekdal

2019

Water

View full text Add to dashboard Cite

The use of water resources has increased with rapid population growth, industrial development, and agricultural activities. Besides, the problem might increase with the potential climate change impacts on water quantity. Thus, sustainable use of water resources becomes crucial. Modeling studies provide scientific support to the analysis of water resource problems and develop strategies for current and potential problems for the sustainable management of water resources. In this study, WEAP-PGM (Water Evaluation and Planning System—Plant Growth Model) was applied to the Sakarya River Basin in Turkey, where almost 50% of the area is agricultural land. The main goals in the study are compiling/integrating available data from different sources in a data-scarce region for hydrological models, and estimating the water budget components of Sakarya River Basin on an annual basis as well as investigating the applicability of WEAP-PGM. General model performance ratings indicated that model simulations represent streamflow variations at acceptable levels. Model results revealed that, runoff is 4747 million m3, flow to groundwater is 3065 million m3 and evapotranspiration is 23,011 million m3. This model setup can be used as a baseline for calculating the crop yields under climate change in the context of water-food-energy nexus in the further studies.

show abstract

Modeling stream flow and sediment yield using the SWAT model: a case study of Ankara River basin, Turkey

Cited by 48 publications

References 58 publications

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

The Effect of Climate Change on Loss of Lake Volume: Case of Sedimentation in Central Rift Valley Basin, Ethiopia

Estimation of Water Budget Components of the Sakarya River Basin by Using the WEAP-PGM Model

Contact Info

Product

Resources

About