Evaluation of SWAT models performance to simulate streamflow spatial origin. The case of a small forested watershed

Meaurio, Maite; Zabaleta, Ane; Uriarte, Jesús A.; Srinivasan, Raghavan; Antigüedad, Iñaki

doi:10.1016/j.jhydrol.2015.03.050

Cited by 82 publications

(33 citation statements)

References 48 publications

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“…This can be explained by reduced infiltration, which is estimated using Equation (11). As the rainfall amount becomes greater, the CN estimated using the asymptotic CN approach becomes lower, resulting in a greater value of S (the potential maximum retention, mm).…”

Section: Discussionmentioning

confidence: 99%

Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation

Ryu

Jang

Kim

et al. 2016

Water

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Abstract:In this study, 52 asymptotic Curve Number (CN) regression equations were developed for combinations of representative land covers and hydrologic soil groups. In addition, to overcome the limitations of the original Long-term Hydrologic Impact Assessment (L-THIA) model when it is applied to larger watersheds, a watershed-scale L-THIA Asymptotic CN (ACN) regression equation model (watershed-scale L-THIA ACN model) was developed by integrating the asymptotic CN regressions and various modules for direct runoff/baseflow/channel routing. The watershed-scale L-THIA ACN model was applied to four watersheds in South Korea to evaluate the accuracy of its streamflow prediction. The coefficient of determination (R 2 ) and Nash-Sutcliffe Efficiency (NSE) values for observed versus simulated streamflows over intervals of eight days were greater than 0.6 for all four of the watersheds. The watershed-scale L-THIA ACN model, including the asymptotic CN regression equation method, can simulate long-term streamflow sufficiently well with the ten parameters that have been added for the characterization of streamflow.

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Section: Discussionmentioning

confidence: 99%

Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation

Ryu

Jang

Kim

et al. 2016

Water

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“…The nitrate and sediment load simulations were compared to sampled data collected once or twice a month from 2000 to 2010 ( Table 1). The Load Estimator model (LOADEST) [78] was used for each physicochemical station due to the lack of nitrate and sediment data in order to generate monthly nitrate and sediment load and extend time series, as commonly used to calibrate and validate SWAT outputs [79][80][81]. This software generates water quality parameters through regressions between streamflow and water quality [78].…”

Section: The Conventional Calibration (Cc)mentioning

confidence: 99%

Hydrological Alteration Index as an Indicator of the Calibration Complexity of Water Quantity and Quality Modeling in the Context of Global Change

Cakir

Raimonet

Sauvage

et al. 2019

Water

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Modeling is a useful way to understand human and climate change impacts on the water resources of agricultural watersheds. Calibration and validation methodologies are crucial in forecasting assessments. This study explores the best calibration methodology depending on the level of hydrological alteration due to human-derived stressors. The Soil and Water Assessment Tool (SWAT) model is used to evaluate hydrology in South-West Europe in a context of intensive agriculture and water scarcity. The Index of Hydrological Alteration (IHA) is calculated using discharge observation data. A comparison of two SWAT calibration methodologies are done; a conventional calibration (CC) based on recorded in-stream water quality and quantity and an additional calibration (AC) adding crop managements practices. Even if the water quality and quantity trends are similar between CC and AC, water balance, irrigation and crop yields are different. In the context of rainfall decrease, water yield decreases in both CC and AC, while crop productions present opposite trends (+33% in CC and −31% in AC). Hydrological performance between CC and AC is correlated to IHA: When the level of IHA is under 80%, AC methodology is necessary. The combination of both calibrations appears essential to better constrain the model and to forecast the impact of climate change or anthropogenic influences on water resources.

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“…ree variables including R 2 (coefficient of determination), RE (relative error), and E ns (Nash-Sutcliffe simulation efficiency) were considered as the key indicator of the accuracy. In general, SWAT needs to modify the value of hydrological parameters for the model calibration and validation [20]. In this study, 8 parameter values were used including Alpha_BF, Gwqmn, Gw_Revap, Sol_Awc, Epco, Esco, Ch_N2, and Gw_delay.…”

Section: Future Inflow Into the Ubolrat Reservoirmentioning

confidence: 99%

Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms

Kangrang

Prasanchum

Hormwichian

2018

Advances in Civil Engineering

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Optimal rule curves are necessary guidelines in the reservoir operation that have been used to assess performance of any reservoir to satisfy water supply, irrigation, industrial, hydropower, and environmental conservation requirements. is study applied the conditional genetic algorithm (CGA) and the conditional tabu search algorithm (CTSA) technique to connect with the reservoir simulation model in order to search optimal reservoir rule curves. e Ubolrat Reservoir located in the northeast region of ailand was an illustrative application including historic monthly inflow, future inflow generated by the SWAT hydrological model using 50-year future climate data from the PRECIS regional climate model in case of B2 emission scenario by IPCC SRES, water demand, hydrologic data, and physical reservoir data. e future and synthetic inflow data of reservoirs were used to simulate reservoir system for evaluating water situation. e situations of water shortage and excess water were shown in terms of frequency magnitude and duration. e results have shown that the optimal rule curves from CGA and CTSA connected with the simulation model can mitigate drought and flood situations than the existing rule curves. e optimal future rule curves were more suitable for future situations than the other rule curves.

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Evaluation of SWAT models performance to simulate streamflow spatial origin. The case of a small forested watershed

Cited by 82 publications

References 48 publications

Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation

Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation

Hydrological Alteration Index as an Indicator of the Calibration Complexity of Water Quantity and Quality Modeling in the Context of Global Change

Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms

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