Calibration of hydrological models considering process interdependence: A case study of SWAT model

Bhardwaj, Rajat; Athira, P.

doi:10.1016/j.envsoft.2021.105131

Cited by 18 publications

(4 citation statements)

References 45 publications

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“…It affects the partitioning of solar radiation into latent and sensible heat as well as the partitioning of precipitation into direct runoff and catchment storage (Duethmann et al, 2022). Accurate prediction of soil moisture is thus essential for simulating streamflow, evapotranspiration and percolation (Rajib et al, 2016;Rajat and Athira, 2021) and for constraining 355 the parameters of hydrological models. The role of groundwater in the seasonal and multi-year dynamics of streamflow is also essential: in many temperate catchments, groundwater stores water during wet periods and releases it throughout the year, thus contributing greatly to low flows (Pelletier and Andréassian, 2022).…”

Section: Model Calibration and Evaluationmentioning

confidence: 99%

Improving the internal hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations

Salmon-Monviola,

Fovet,

Hrachowitz

2024

Preprint

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Abstract. Improving the consistency of hydrological models, i.e. their ability to reproduce observed system dynamics, is required to increase their predictive power. As the use of streamflow data for calibration is necessary but not sufficient to constrain model and warrant model consistency, other strategies must be considered, in particular the use of additional data sources. The aim of this study is to test whether simultaneous calibration of dissolved organic carbon (DOC) and nitrate (NO3-) concentrations along with streamflow improves the hydrological consistency of a parsimonious solute-transport model. A multi-objective and multi-variable approach was used to evaluate the model in an intensive agricultural headwater catchment. Our results showed that using daily stream concentrations of DOC and NO3- together with streamflow data during calibration did not improve the model's ability to accurately predict streamflow for calibration or evaluation periods. However, the internal consistency of the model was improved for the simulation of low flows, groundwater storage and upstream soil storage, but not for the simulation of riparian soil storage. Parameter uncertainty decreased when the model was calibrated using solute concentrations, except for parameters related to fast and slow reservoir flow. This study shows the added value of using multiple data sources in addition to streamflow data for calibration, in particular DOC and NO3- concentrations, to constrain hydrological models for a better representation of internal hydrological states and flow. With the increasing availability of solute data from catchment monitoring, this approach provides an objective way to improve the internal consistency of hydrological models that can be used with confidence in scenario evaluation.

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Section: Model Calibration and Evaluationmentioning

confidence: 99%

Improving the internal hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations

Salmon-Monviola,

Fovet,

Hrachowitz

2024

Preprint

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“…The current study uses S as a calibration variable, and the parameters which are significant for streamflow generation are considered for calibration. The parameter Curve Number, CN2 is directly related to the surface runoff generation process (Rajat, 2021). The erosion and sediment yields are estimated for each HRU with Modified Universal Soil Loss Equation (MUSLE) (Williams, 1995), as in Eq.…”

Section: Analysis and Evaluationmentioning

confidence: 99%

Development of a Hydrodynamic Model for Regulating Water Drainage of Reservoir and Water Resources Management, Lamtakong Watershed of Thailand

Faksomboon

2022

NJEDP

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The goal of this research was to develop a hydrodynamic model (HDD-M) for water resource management in the Lamtakong Watershed (LTKW), as well as to simulate three scenarios: 1) Current land use conditions in 2021, 2) Forecasting predicted land-use changes in 2024, and 3) Water drainage regulation of the Lamtakong Reservoir (LTKR) for water resource management in 2024. The Soil and Water Assessment Tool (SWAT) model and Geographic Information System (GIS) program were used to estimate and simulate the amount of Surface Runoff (S), Sediment Yield (SED), Carbonaceous Biochemical Oxygen Demand concentration (CBOD), and Nitrate concentration (NO3) based on a comparison of simulated and observed data. In scenario 1, the S, SED, CBOD, and NO3 were calculated to be 238.44 million cubic meters (MCM), 840,613.68 tons per year, 2.38 mg/L, and 7.36 mg/L, respectively. In the second scenario, the S decreased to 14.75 MCM, whereas SED, CBOD, and NO3 increased to 56,757.48 tons, 0.56 mg/L, and 0.79 mg/L, respectively, when compared to scenario 1, (Scenario 2). Scenario 3 demonstrated that during the dry season of November to June, the standards of surface water were CBOD and NO3, and that increasing LTKR drainage can help prevent the deterioration of water yields. As a result, the HDD-M, which includes the reservoir's controlling water drainage, may need to be considered to satisfy water resource management goals.

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“…Developing hydrological models at the basin scale is challenging due to the complexity of hydrological processes, spatial variability of soil, geology, and land use/cover characteristics, and spatial and temporal variability of climatic conditions. Hydrological models enable us to understand how physical or climatic changes could affect basinwide hydrological processes and predict basin response to natural or artificial changes (Gupta et al 2005;Rajat 2021).…”

Section: Introductionmentioning

confidence: 99%

Physically based vs. data-driven models for streamflow and reservoir volume prediction at a data-scarce semi-arid basin

Özdoğan-Sarıkoç,

Dadaser-Celik

2024

Environ Sci Pollut Res

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Physically based or data-driven models can be used for understanding basinwide hydrological processes and creating predictions for future conditions. Physically based models use physical laws and principles to represent hydrological processes. In contrast, data-driven models focus on input–output relationships. Although both approaches have found applications in hydrology, studies that compare these approaches are still limited for data-scarce, semi-arid basins with altered hydrological regimes. This study aims to compare the performances of a physically based model (Soil and Water Assessment Tool (SWAT)) and a data-driven model (Nonlinear AutoRegressive eXogenous model (NARX)) for reservoir volume and streamflow prediction in a data-scarce semi-arid region. The study was conducted in the Tersakan Basin, a semi-arid agricultural basin in Türkiye, where the basin hydrology was significantly altered due to reservoirs (Ladik and Yedikir Reservoir) constructed for irrigation purposes. The models were calibrated and validated for streamflow and reservoir volumes. The results show that (1) NARX performed better in the prediction of water volumes of Ladik and Yedikir Reservoirs and streamflow at the basin outlet than SWAT (2). The SWAT and NARX models both provided the best performance when predicting water volumes at the Ladik reservoir. Both models provided the second best performance during the prediction of water volumes at the Yedikir reservoir. The model performances were the lowest for prediction of streamflow at the basin outlet (3). Comparison of physically based and data-driven models is challenging due to their different characteristics and input data requirements. In this study, the data-driven model provided higher performance than the physically based model. However, input data used for establishing the physically based model had several uncertainties, which may be responsible for the lower performance. Data-driven models can provide alternatives to physically-based models under data-scarce conditions.

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Calibration of hydrological models considering process interdependence: A case study of SWAT model

Cited by 18 publications

References 45 publications

Improving the internal hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations

Improving the internal hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations

Development of a Hydrodynamic Model for Regulating Water Drainage of Reservoir and Water Resources Management, Lamtakong Watershed of Thailand

Physically based vs. data-driven models for streamflow and reservoir volume prediction at a data-scarce semi-arid basin

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