Calibration of SWAT model for woody plant encroachment using paired experimental watershed data

Qiao, Lifang; Zou, Chris B.; Will, Rodney E.; Stebler, Elaine

doi:10.1016/j.jhydrol.2015.01.056

Cited by 42 publications

(40 citation statements)

References 52 publications

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“…Although the Ens performance statistic associated with SWAT runoff modeling can be larger than 0.8 in small or humid basins (e.g., Luo et al, 2008;Qiao et al, 2015;Wu et al, 2016), Ens is typically less than 0.7 in relatively large river basins in arid to semi-arid regions (e.g., Xu et al, 2011;Notter et al, 2013;Zhang et al, 2015;Liu et al, 2016;Zhao et al, 2016). The Ens values in this study were generally good in the calibration and validation periods and were comparable to those reported in other studies in arid to semi-arid river basins.…”

Section: Performance Of the Swat Modelmentioning

confidence: 99%

“…For example, 28.37 m 3 s −1 , which was the combined runoff rate in S2 and S3, was not equal to the "real or baseline runoff" of 29.75 m 3 s −1 in S4. Qiao et al (2015) reported that the SWAT model performed much better in small watersheds (2-5 ha) than in a larger watershed (78 km 2 ) because the meteorological inputs (e.g., precipitation) do not represent the spatial variability in a given parameter over larger basins because ground-based observations are limiting. To reduce the uncertainty and improve the accuracy of the hydrological model and forecasting results for relatively large basins, the uncertainty associated with model parameterization is discussed below and potential solutions are proposed for future studies.…”

Section: Uncertainty In Swat Model Simulationsmentioning

confidence: 99%

“…Although the LULC data had a relatively high resolution of 30 m, we can only provide a general vegetation categorization, such as forest, due to the data limitations. Recent results (e.g., Pierini et al, 2014;Qiao et al, 2015) have shown that detailed biophysical parameters of vegetation species can improve the performance of distributed, physically based models such as SWAT and reduce model uncertainty. In China, detailed and reliable data related to vegetation species are uncommon.…”

Section: Uncertainty In Swat Model Simulationsmentioning

confidence: 99%

See 2 more Smart Citations

Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in northwest China

Yin

Xiong

et al. 2017

Hydrol. Earth Syst. Sci.

172

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Abstract. Water resources, which are considerably affected by land use/land cover (LULC) and climate changes, are a key limiting factor in highly vulnerable ecosystems in arid and semi-arid regions. The impacts of LULC and climate changes on water resources must be assessed in these areas. However, conflicting results regarding the effects of LULC and climate changes on runoff have been reported in relatively large basins, such as the Jinghe River basin (JRB), which is a typical catchment (> 45 000 km 2 ) located in a semi-humid and arid transition zone on the central Loess Plateau, northwest China. In this study, we focused on quantifying both the combined and isolated impacts of LULC and climate changes on surface runoff. We hypothesized that under climatic warming and drying conditions, LULC changes, which are primarily caused by intensive human activities such as the Grain for Green Program, will considerably alter runoff in the JRB. The Soil and Water Assessment Tool (SWAT) was adopted to perform simulations. The simulated results indicated that although runoff increased very little between the 1970s and the 2000s due to the combined effects of LULC and climate changes, LULC and climate changes affected surface runoff differently in each decade, e.g., runoff increased with increased precipitation between the 1970s and the 1980s (precipitation contributed to 88 % of the runoff increase). Thereafter, runoff decreased and was increasingly influenced by LULC changes, which contributed to 44 % of the runoff changes between the 1980s and 1990s and 71 % of the runoff changes between the 1990s and 2000s. Our findings revealed that large-scale LULC under the Grain for Green Program has had an important effect on the hydrological cycle since the late 1990s. Additionally, the conflicting findings regarding the effects of LULC and climate changes on runoff in relatively large basins are likely caused by uncertainties in hydrological simulations.

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Section: Performance Of the Swat Modelmentioning

confidence: 99%

Section: Uncertainty In Swat Model Simulationsmentioning

confidence: 99%

Section: Uncertainty In Swat Model Simulationsmentioning

confidence: 99%

See 1 more Smart Citation

Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in northwest China

Yin

Xiong

et al. 2017

Hydrol. Earth Syst. Sci.

172

View full text Add to dashboard Cite

show abstract

“…The Soil and Water Assessment Tool (SWAT) model [10,11] has been extensively used for evaluating watershed-scale water quantity and quality problems [12][13][14]. In particular, ArcSWAT [15], an extension of ArcGIS, facilitates SWAT modeling by providing a user-friendly interface for DEM-based watershed delineation, processing of land use and soil type GIS data, HRU definition, meteorological data analysis, and preparation of SWAT input datasets.…”

Section: Introductionmentioning

confidence: 99%

SWAT Modeling for Depression-Dominated Areas: How Do Depressions Manipulate Hydrologic Modeling?

Nasab

Singh

Chu

2017

Water

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Abstract:Modeling hydrologic processes for depression-dominated areas such as the North American Prairie Pothole Region is complex and reliant on a clear understanding of dynamic filling-spilling-merging-splitting processes of numerous depressions over the surface. Puddles are spatially distributed over a watershed and their sizes, storages, and interactions vary over time. However, most hydrologic models fail to account for these dynamic processes. Like other traditional methods, depressions are filled as a required preprocessing step in the Soil and Water Assessment Tool (SWAT). The objective of this study was to facilitate hydrologic modeling for depression-dominated areas by coupling SWAT with a Puddle Delineation (PD) algorithm. In the coupled PD-SWAT model, the PD algorithm was utilized to quantify topographic details, including the characteristics, distribution, and hierarchical relationships of depressions, which were incorporated into SWAT at the hydrologic response unit (HRU) scale. The new PD-SWAT model was tested for a large watershed in North Dakota under real precipitation events. In addition, hydrologic modeling of a small watershed was conducted under two extreme high and low synthetic precipitation conditions. In particular, the PD-SWAT was compared against the regular SWAT based on depressionless DEMs. The impact of depressions on the hydrologic modeling of the large and small watersheds was evaluated. The simulation results for the large watershed indicated that SWAT systematically overestimated the outlet discharge, which can be attributed to the failure to account for the hydrologic effects of depressions. It was found from the PD-SWAT modeling results that at the HRU scale surface runoff initiation was significantly delayed due to the threshold control of depressions. Under the high precipitation scenario, depressions increased the surface runoff peak. However, the low precipitation scenario could not fully fill depressions to reach the overflow thresholds in the selected sub-basins. These results suggest the importance of depressions as gatekeepers in watershed modeling.

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“…Most of the software and documentation are conveniently and freely obtainable from [39]. Thus, it has been widely used around the world for hydrological processes and soil movement, the assessment of water resources and water quality, and in the movement and transformation of nutrients (such as nitrogen, phosphorus) and pesticides [40,41]. In recent years, the model has been increasingly applied in evaluating climate impacts on water resources at the basin scale, for small to large catchments [42][43][44][45][46][47].…”

Section: Swat (Soil and Water Assessment Tool) Modelmentioning

confidence: 99%

Simulation and Prediction of Climate Variability and Assessment of the Response of Water Resources in a Typical Watershed in China

Jin

Zhu

Zhao

et al. 2016

Water

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Abstract:The assessment of water resource responses to climate change is required in water resource planning and management, protecting environmental quality, and managing watersheds. This study modeled surface runoff and baseflow responses to variations in precipitation (0%, ±10%, and ±20%) and temperature (0 • C, ±1 • C, and ±2 • C) in 25 types of scenarios in the Lanhe Watershed (1140 km 2 ), which possesses the typical hydrological and meteorological characteristics of the Loess Plateau in China. The study is based on the Soil and Water Assessment Tool (SWAT), which was calibrated and validated using the coefficient of determination (R 2 ), Nash-Suttcliffe (Ens), and Percent bias (PBIAS), using the observed streamflow of Shangjingyou Station, a unique gauging station in the study area. The model was calibrated with daily streamflow, from 1967 to 1996, and then validated from 1997 to 2011. R 2 , Ens, and PBIAS were 0.95 and 0.84, 0.78 and 0.72, and 0.6% and −9.1% in annual and monthly calibration periods, 0.90 and 0.78, 0.74 and 0.67, and 22.1% and 18.8% in annual and monthly validation periods, and the overall performance ratings was "satisfactory". The assessment indicates that surface runoff is likely to be more affected than baseflow when altering temperatures and precipitation, and the noticeable changes of surface and baseflow are from June to September and October to November, respectively. Results also indicate that surface runoff and baseflow are very sensitive to the projected reduction in temperature, rather than to an increase of temperature, while precipitation is a constant. In turn, when the temperature is a constant, the surface runoff is sensitive to the projected increase in precipitation and the baseflow is sensitive to the decrease in precipitation.

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Calibration of SWAT model for woody plant encroachment using paired experimental watershed data

Cited by 42 publications

References 52 publications

Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in northwest China

Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in northwest China

SWAT Modeling for Depression-Dominated Areas: How Do Depressions Manipulate Hydrologic Modeling?

Simulation and Prediction of Climate Variability and Assessment of the Response of Water Resources in a Typical Watershed in China

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