Development of a SWAT Patch for Better Estimation of Sediment Yield in Steep Sloping Watersheds<sup>1</sup>

Kim, Jonggun; Park, Youn Shik; Yoo, Dong-Sun; Kim, Nam-Won; Engel, Bernard A.; Kim, Seong-joon; Kim, Ki-Sung; Lim, Kyoung Jae

doi:10.1111/j.1752-1688.2009.00339.x

Cited by 23 publications

(8 citation statements)

References 8 publications

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“…The SWAT model simulations are another source of uncertainty, due to difficulty in using the model to estimate sediment transport. As a number of researchers have pointed out [13,33,34,43,70] SWAT has limitations in representing the short, rapid rainfall-runoff events that typically occur in small catchments, such as Corbeira, and that will probably increase in the future. Moreover, MUSLE, the method used in SWAT to estimate sediment yield, does not include the characteristics of events, such as the erosive power or duration of rainfall, which might result in model error for assessing erosion, because these variables affect soil detachment by raindrops and transport of detached particles by runoff.…”

Section: Effects Of Simultaneous Changes In Climate Parameters In Susmentioning

confidence: 99%

Potential Impact of Climate Change on Suspended Sediment Yield in NW Spain: A Case Study on the Corbeira Catchment

Rodríguez‐Blanco

Arias

Taboada-Castro

et al. 2016

Water

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Soil losses and the subsequent sediment delivery constitute significant environmental threats. Climate change is likely to have an impact on the availability of water and therefore on sediment yield in catchments. In this context, quantifying the sediment response to an increased atmospheric CO 2 concentration and climate change is of utmost importance to the proper management of rural catchments. However, quantitative assessment of climate change impact remains a complex task. In this study, the potential medium (2031-2060) and long-term (2069-2098) impacts of projected changes of temperature, rainfall and CO 2 concentration on sediment yield in a small rural catchment located in NW Spain were evaluated using the Soil and Water Assessment Tool (SWAT) model. Climate change scenarios were created using future climate data projected by regional climate models from the ENSEMBLES project and two CO 2 concentration scenarios (550 and 660 ppm). The results showed that climate change would have a noticeable impact on suspended sediment if the forecast temperature, rainfall and CO 2 concentration changes included in this study were met. Overall, suspended sediment is expected to decrease (2031-2060: −11%, 2069-2098: −8%) compared to the baseline period , mainly due to decreased streamflow. However, an increase in sediment transport in winter is predicted, possibly associated with increased erosion in cultivated areas (11%-17%), suggesting that, at this time of the year, the effect of soil detachment prevails over sediment transport capacity. Consequently, management practices aimed at reducing soil erosion in cultivated areas should be carried out, because these are the main source of sediment in the study area.

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Section: Effects Of Simultaneous Changes In Climate Parameters In Susmentioning

confidence: 99%

Potential Impact of Climate Change on Suspended Sediment Yield in NW Spain: A Case Study on the Corbeira Catchment

Rodríguez‐Blanco

Arias

Taboada-Castro

et al. 2016

Water

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“…Zhang et al, 2013). Concerning the SWAT method, Kim et al (2009) suggested modifying the SWAT GIS pre-analysis for assessing hillslope length, especially if average slope in the watershed is > 25%. Yao et al (2010) assessed the effect of 10-and 30-m DEM pixel size on hillslope length estimations using two GIS-methods (Flow Length and Flow accumulation) to see which of them resulted in hillslope length most similar to observed field measures.…”

Section: Introductionmentioning

confidence: 99%

The Hillslope Length Impact on SWAT Streamflow Prediction in Large Basins

Malagó¹,

Vigiak²,

Bouraoui³

et al. 2018

J ENV INFORM

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The objective of this study was to assess the impact of hillslope length on Soil and Water Assessment Tool (SWAT) streamflow predictions in large basins using three methods for hillslope length calculation (the SWAT method, L1; a 3D analysis method, L2; a constant value, L3) combined with two DEMs (pixel size of 25 and 100 m), for a total of six DEML configurations that were tested in the Upper Danube (132000 km 2 ). The delineation of subbasins and HRUs were kept unchanged in all configurations, thus isolating the DEM impact on streamflow from that of subbasins delineation. The configurations were independently calibrated in 98 gauged stations located in headwater subbasins (period 1995 ~ 2006), and validated in 150 gauged stations (period 1995 ~ 2009). The analysis of streamflow prediction was extended to its components (surface runoff, lateral flow and baseflow) using performance criteria and residual analysis, and the comparison of different components of water yield was pursued. Calibration and validation showed that all configurations simulated monthly streamflow acceptably (PBIAS < 25% for more than 70% of 150 gauged stations). DEM pixel size had negligible effect of streamflow and its components. The default hillslope length (L1) resulted in large overestimations of lateral flow. L2 resulted in the best performance as well as L3 method. Given that L2 method takes into account the topographic convergence of flow, the configuration of DEM100 and L2 is recommended for SWAT application in large basins in order to obtain reliable streamflow predictions.

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“…Previous research results showed that the uncertainty of the watershed partitioning level had a particularly obvious impact on the runoff, sediment, and other variables (Larose et al 2007;Kim et al 2009;Han et al 2014). Meanwhile, the hydrological model is a high dimensional complex mathematical equation set model.…”

Section: Discussionmentioning

confidence: 99%

“…Several studies have been conducted by researchers to explore the influence of the watershed partitioning level on the performance of the hydrological models (e.g., Larose et al 2007;Kim et al 2009). Norris and Haan (1993) divided a watershed with an area of 31.08 km 2 into three levels and found that the difference between the flood peak flow simulated by only one sub-basin, and the other two simulated values were over 35%.…”

Section: Introductionmentioning

confidence: 99%

Impacts of changes in the watershed partitioning level and optimization algorithm on runoff simulation: decomposition of uncertainties

Zhou

Wang

Guo

et al. 2020

Stoch Environ Res Risk Assess

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Hydrological modeling has provided key insights into the mechanisms of model state, such as the watershed partitioning level and optimization algorithm, and their impacts on the hydrological process, but the uncertainty of this impact is poorly understood. To this end, in this study, the effects of the watershed partitioning level and optimization algorithm for hydrological simulation uncertainty were assessed based on the semi-distributed TOPMODEL model, i.e., six watershed partitioning levels and three intelligent global optimization algorithms were used in the source region of the Yellow River. Meanwhile, the uncertainty contribution of the individual and interaction of the watershed partitioning levels and optimization algorithms on the hydrological process were dynamically evaluated using the variance decomposition method based on subsampling. Results showed that the impacts of the watershed partitioning level and optimization algorithm on the runoff simulation were particularly obvious for different characteristic periods. In the flood period, the optimization algorithm was the dominant factor affecting the runoff simulation uncertainty, with the proportion of up to 0.50, whereas the contribution of the watershed partitioning level was only 0.22. In the non-flood period, they contributed substantially to the uncertainty of the runoff simulation, accounting for about 0.30. Moreover, the interactions between the watershed partitioning level and optimization algorithm had a strong influence throughout the year, especially in the non-flood period, which may be because the hydrological model amplifies the output error and increases the interaction effect. Generally, the results shed important insight into reducing the uncertainty of the runoff simulation in future research.

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Development of a SWAT Patch for Better Estimation of Sediment Yield in Steep Sloping Watersheds¹

Cited by 23 publications

References 8 publications

Potential Impact of Climate Change on Suspended Sediment Yield in NW Spain: A Case Study on the Corbeira Catchment

Potential Impact of Climate Change on Suspended Sediment Yield in NW Spain: A Case Study on the Corbeira Catchment

The Hillslope Length Impact on SWAT Streamflow Prediction in Large Basins

Impacts of changes in the watershed partitioning level and optimization algorithm on runoff simulation: decomposition of uncertainties

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Development of a SWAT Patch for Better Estimation of Sediment Yield in Steep Sloping Watersheds1

Cited by 23 publications

References 8 publications

Potential Impact of Climate Change on Suspended Sediment Yield in NW Spain: A Case Study on the Corbeira Catchment

Potential Impact of Climate Change on Suspended Sediment Yield in NW Spain: A Case Study on the Corbeira Catchment

The Hillslope Length Impact on SWAT Streamflow Prediction in Large Basins

Impacts of changes in the watershed partitioning level and optimization algorithm on runoff simulation: decomposition of uncertainties

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Development of a SWAT Patch for Better Estimation of Sediment Yield in Steep Sloping Watersheds¹