Assessment of runoff and sediment yield in the Miyun Reservoir catchment by using SWAT model

Xu, Zhixing; Pang, Jianzhuang; Liu, C. M.; Li, J. Y.

doi:10.1002/hyp.7475

Cited by 116 publications

(60 citation statements)

References 28 publications

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“…Thirteen parameters marked with " RO " in Table 3 were chosen for calibration of the streamflow simulation [50][51][52]. With the automatic calibration approach of SUFI-2 in SWAT-CUP, the NS value and r 2 value are 0.89 and 0.91, and the P-factor and R-factor are 75% and 0.97, respectively; for the validation dataset, the NS value is 0.79 and the r 2 value is 0.82, and the P-factor and R-factor are 63% and 1.64, respectively.…”

Section: Evaluation Of the Streamflow Simulationmentioning

confidence: 99%

Estimation of Sediment Yield Change in a Loess Plateau Basin, China

Zhang

Karthikeyan

Zhang

et al. 2017

Water

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Soil erosion is one of the most serious land degradation problems and the primary environmental issue in the Loess Plateau region of China. To identify the critical sub-basins and assess the impacts of land use change and climatic variability change on soil loss, this study tested the feasibility of the Soil and Water Assessment Tool (SWAT) model on sediment load simulation in the upper Sang-kan (USK) River basin. Based on a land use map of 1986, the SWAT model (Scenario 0) was calibrated at a monthly step using climate data from 1979 to 1985; then it was validated using climate data from 1986 to 1990. The monthly sediment simulation results indicated that the model did not work as well as streamflow simulation, indicating lower NS (Nash-Sutcliffe Efficiency) and r 2 values of 0.68, 0.69 and 0.61, 0.59 for the calibration period and validation period, respectively. This model could perform well under relatively low rainfall events, but it underestimated or overestimated the sediment load under high rainfall events. Comparing the results of scenarios with different land use maps (year of 1986 vs. 2012) and climate periods (1979-1990 vs. 2001-2012), it can be concluded that: (i) extreme and severe erosion almost always happened in FRST (forest land) and RNGE (grassland) in the hilly area; (ii) long-term traditional farming weakens the soil anti-erosion capability of land, leading to higher soil erosion, while forest can improve the soil structure, enhance the soil anti-erosion capability, and reduce soil erosion; (iii) both land use change and climatic change have led to the sediment yield decrease in the USK basin. Acting as the major influencing factor, land use change contributed to about 64.9% of the sediment yield reduction in the USK river basin.

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Section: Evaluation Of the Streamflow Simulationmentioning

confidence: 99%

Estimation of Sediment Yield Change in a Loess Plateau Basin, China

Zhang

Karthikeyan

Zhang

et al. 2017

Water

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“…The capability of a hydrological model to adequately simulate stream flow and sediment processes typically depends on the accurate calibration of parameters (Xu et al, 2009). Parameters can either be estimated manually or automatically.…”

Section: Model Evaluationmentioning

confidence: 99%

“…The underestimation occurs for four events that according to MontoyaArmenta (2013) drag a greater amount of sediment suspended: 1, 6, 14 and 17 occurred on November 8, 2009, June 15, 2010, March 16, 2011and November 6, 2011. In practice, precipitation of high intensity and short duration may generate more sediment than simulated by the model based on daily rainfall (Xu et al, 2009). According to Benaman and Shoemaker (2005), SWAT tends to underestimate the amount of sediment in high intensity events.…”

Section: Ssc Simulation and Yieldmentioning

confidence: 99%

Evaluation of hydrology, suspended sediment and Nickel loads in a small watershed in Basque Country (Northern Spain) using eco-hydrological SWAT model

Peraza-Castro

Ruiz‐Romera

Armenta

et al. 2015

Ann. Limnol. - Int. J. Lim.

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-Suspended sediment transportation and associated pollutants from catchment to stream networks are responsible for aquatic habitat degradation, reservoir sedimentation and the transportation of sediment bound pollutants. Quantifying suspended sediment loads from lands to watercourses is essential in controlling soil erosion and in implementing appropriate mitigation practices to reduce stream sediment and associated pollutant loads, and hence improve surface water quality downstream.The main objective of this study is to evaluate the temporal variability of hydrology, sediment and nickel loads using Soil and Water Assessment Tool in Oka watershed located in north Spain. Model simulation was completed using 11 years historical records (2001-2009 for validation and 2009-2012 for calibration) of streamflow and suspended sediment concentration (SSC). Thestreamflow, SSC and sediment load estimated from the model were compared with observed data using statistical parameters, which indicates a successful simulation. The annual production of simulated sediments shows variability between 662 and 1515 t, with a mean specific yield of 33 t km x2 y x1 . The annual load of nickel simulated ranged from 32 to 72 kg, representing a mean specific of 1.63 kg km x2 year x1 . The information obtained from this research is of interest to understand long term interannual variability of suspended sediment and nickel yield.

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“…The basic requirement for this model is its capability to estimate surface runoff adequately because the surface runoff process affects the transport of sediments and agricultural chemicals [2]. The Soil and Water Assessment Tool (SWAT) model is one of the most commonly used and well supported water quality modeling, physically based, computationally efficient, and capable of continuous simulation over long time periods.…”

Section: Introductionmentioning

confidence: 99%

“…This model has proven to be an effective tool for assessing water resource and non-point source pollution problems, particularly those dominated by agriculture [4], [5]. Compared to the simulation for stream flow, simulation of sediment erosion and transport throughout a catchment is a challenging task [2]. In Thailand, water pollution is largely associated with urbanization, industrialization and agricultural activities.…”

Section: Introductionmentioning

confidence: 99%