Efficient flow calibration method for accurate estimation of baseflow using a watershed scale hydrological model (SWAT)

Jang, Won Sik; Engel, Bernard A.; Ryu, Jichul

doi:10.1016/j.ecoleng.2018.10.007

Cited by 25 publications

(16 citation statements)

References 49 publications

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“…The ALPHA_BF and CN2, ranked first and second in sensitivity, respectively, and higher than the others which appeared to have made the most contribution in improving the ENS. In general, CN2, ALPHA_BF, SOL_AWC, and RCHRG_DP were important parameters for both baseflow and streamflow simulation, as the water traveling from the root zone in SWAT to deep aquifers was not redistributed into the main channel, soil, or shallow aquifers, but considered lost from the system boundary [76]. The high ALPHA_BF constant in the LEC watershed indicated a rapid response to groundwater recharge.…”

Section: Parameter Sensitivity Analysismentioning

confidence: 99%

Hydrologic Response in an Urban Watershed as Affected by Climate and Land-Use Change

Aboelnour

Gitau

Engel

2019

Water

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The change in both streamflow and baseflow in urban catchments has received significant attention in recent decades as a result of their drastic variability. In this research, effects of climate variation and dynamics of land use are measured separately and in combination with streamflow and baseflow in the Little Eagle Creek (LEC) watershed (Indianapolis, Indiana). These effects are examined using land-use maps, statistical tests, and hydrological modeling. Transition matrix analysis was used to investigate the change in land use between 1992 and 2011. Temporal trends and changes in meteorological data were evaluated from 1980–2017 using the Mann–Kendall test. Changes in streamflow and baseflow were assessed using the Soil and Water Assessment Tool (SWAT) hydrological model using multiple scenarios that varied in land use and climate change. Evaluation of the model outputs showed streamflow and baseflow in LEC are well represented using SWAT. During 1992–2011, roughly 30% of the watershed experienced change, typically cultivated agricultural areas became urbanized. Baseflow is significantly affected by the observed urbanization; however, the combination of land and climate variability has a larger effect on the baseflow in LEC. Generally, the variability in the baseflow and streamflow appears to be heavily driven by the response to climate change in comparison to variability due to altered land use. The results reported herein expand the current understanding of variation in hydrological components, and provide useful information for management planning regarding water resources, as well as water and soil conservation in urban watersheds in Indiana and beyond.

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Section: Parameter Sensitivity Analysismentioning

confidence: 99%

Hydrologic Response in an Urban Watershed as Affected by Climate and Land-Use Change

Aboelnour

Gitau

Engel

2019

Water

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show abstract

“…The ALPHA_BF and CN2, ranked first and second in sensitivity, respectively, and higher than the others which appeared to have made the most contribution in improving the ENS. In general, CN2, ALPHA_BF, SOL_AWC, and RCHRG_DP were important parameters for both baseflow and streamflow simulation, as the water traveling from the root zone in SWAT to deep aquifers was not redistributed into the main channel, soil, or shallow aquifers, but considered lost from the system boundary [69]. The high ALPHA_BF constant in the LEC watershed indicated a rapid response to groundwater recharge.…”

Section: Parameter Sensitivity Analysismentioning

confidence: 99%

Hydrologic Response in an Urban Watershed as Affected by Climate and Land Use Change

Aboelnour¹,

Gitau²,

Engel³

2019

Preprint

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The change in both streamflow and baseflow in urban catchments has received significant attention in the latest decades as a result of their drastic variability. In this research, effects of climate variation and dynamics of land use are measured separately and in combination on streamflow and baseflow in the Little Eagle Creek (LEC) watershed (Indianapolis, Indiana). These effects are examined using land use maps, statistical tests, and hydrological modeling. Transition matrix analysis was used to investigate the change in land use between 1992 and 2011. Temporal trends and changes in meteorological data were evaluated from 1980-2017 using the Mann-Kendall test. Changes in streamflow and baseflow were assessed using the Soil and Water Assessment Tool (SWAT) hydrological model using multiple scenarios that varied in land use and climate change. Evaluation of the model outputs showed streamflow and baseflow in LEC are well represented using SWAT; however, comparing the calibration and validation period showed SWAT performs better for the calibration. During 1992-2011, roughly 30% of the watershed experienced change, typically cultivated agricultural areas became urbanized. Baseflow is significantly affected by the observed urbanization; however, the combination of land and climate variability has a larger effect on the baseflow in LEC. Generally, the variability in the baseflow and streamflow appears to be heavily driven by the response to climate change in comparison to variability due to altered land use. The results reported herein expand the current understanding of variation in hydrological components, and provides useful information for management planning regarding water resources, as well as water and soil conservation in urban watersheds in Indiana and beyond.

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“…SWAT is used to predict the impact of management practices, land use and land cover change, and climate change on hydrology and water quality at a watershed scale [22]. Weather, soil properties, topography, and land management practices are the main inputs for simulating hydrologic and water quality processes in a watershed [23]. The model divides a watershed into a number of sub-watersheds according to the threshold values; the sub-watersheds are further divided into main channels and hydrologic response units (HRUs), a unique combination of land use, soil, and slope classes within each sub watershed.…”

Section: Overview Of Swatmentioning

confidence: 99%

“…To guarantee the objectivity of the calibration, the SWAT Calibration and Uncertainty Program (SWAT-CUP) [27] was used instead of manual calibration. SWAT-CUP is one of the most popular auto-calibration programs as it can produce parameter estimation by uncertainty analysis and simultaneously reduce labor on the part of the user [23,27,28]. SWAT-CUP provides five calibration procedures for the SWAT calibration: Sequential Uncertainty Fitting algorithm version 2 (SUFI-2), Generalized Likelihood Uncertainty Estimation (GLUE), Parameter Solution (ParaSol), Markov chain Monte Carlo (MCMC), and Particle Swarm Optimization (PSO).…”

Section: Model Calibration and Its Evaluationmentioning

confidence: 99%

“…SWAT-CUP provides five calibration procedures for the SWAT calibration: Sequential Uncertainty Fitting algorithm version 2 (SUFI-2), Generalized Likelihood Uncertainty Estimation (GLUE), Parameter Solution (ParaSol), Markov chain Monte Carlo (MCMC), and Particle Swarm Optimization (PSO). In this study, calibration was performed using SUFI-2, which has been used to optimize the SWAT parameters in many studies [23,29,30]. For the streamflow and water quality calibration, the sensitivity analysis for the selected parameters based on the previous studies (16 parameters for the streamflow calibration and 22 parameters for the water quality calibration) was initially carried out [30].…”

Section: Model Calibration and Its Evaluationmentioning

confidence: 99%

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Evaluation of the Effect of Channel Geometry on Streamflow and Water Quality Modeling and Modification of Channel Geometry Module in SWAT: A Case Study of the Andong Dam Watershed

Han

Lee

et al. 2019

Water

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The impact of the channel geometry on water quantity and quality simulation of the Soil and Water Assessment Tool (SWAT) was evaluated for the Andong Dam watershed. The new equations to determine the bankfull width of the channels and the bottom width of the floodplains were developed using aerial photographs, and its performance was compared with the current equations of SWAT. The new equations were more exact than the current equations since the current equations tended to overestimate the widths of the channel and floodplain. When compared with the observed data, the streamflow of the scenario 2 (S2, applying the new equations) showed lower deviation and higher accuracy than scenario 1 (S1, applying the current equations) because the peak flow of S2 captured the observed data better due to the impact of the change geometry. Moreover, the water quality results of S2 outperformed S1 regarding suspended solid, total nitrogen, and dissolved oxygen. This is attributed to the variables, such as flow travel time, which is directly related to the channel geometry. Additionally, SWAT was modified to consider the various channel cross-sectional shapes. The results of this study suggest that the channel geometry information for the water quantity and quality estimation should be carefully applied, which could improve the model performance regarding streamflow and water quality simulations.

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Efficient flow calibration method for accurate estimation of baseflow using a watershed scale hydrological model (SWAT)

Cited by 25 publications

References 49 publications

Hydrologic Response in an Urban Watershed as Affected by Climate and Land-Use Change

Hydrologic Response in an Urban Watershed as Affected by Climate and Land-Use Change

Hydrologic Response in an Urban Watershed as Affected by Climate and Land Use Change

Evaluation of the Effect of Channel Geometry on Streamflow and Water Quality Modeling and Modification of Channel Geometry Module in SWAT: A Case Study of the Andong Dam Watershed

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