Slope Effects on SWAT Modeling in a Mountainous Basin

Yacoub, Cristina; Foguet, Agustí Pérez

doi:10.1061/(asce)he.1943-5584.0000756

Cited by 17 publications

(6 citation statements)

References 30 publications

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“…The SWAT model allowed a maximum of five ranges of slope classes. More detailed information regarding the significance of slope in hydrological modeling can be found in the studies of Yacoub et al, where the relative importance of slope discretization, compared with other discretization criteria, was assessed in the streamflow results of the SWAT model in a mountainous basin [51]. Figure 3 shows the area occupied by HRUs in the UVRB, calculated by ArcSWAT, the geographic information system (GIS) interface for SWAT.…”

Section: Datamentioning

confidence: 99%

Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia

et al. 2021

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In this study, the applicability of three gridded datasets was evaluated (Climatic Research Unit (CRU) Time Series (TS) 3.1, “Asian Precipitation—Highly Resolved Observational Data Integration Toward the Evaluation of Water Resources” (APHRODITE)_V1101, and the climate forecast system reanalysis dataset (CFSR)) in different combinations against observational data for predicting the hydrology of the Upper Vakhsh River Basin (UVRB) in Central Asia. Water balance components were computed, the results calibrated with the SUFI-2 approach using the calibration of soil and water assessment tool models (SWAT–CUP) program, and the performance of the model was evaluated. Streamflow simulation using the SWAT model in the UVRB was more sensitive to five parameters (ALPHA_BF, SOL_BD, CN2, CH_K2, and RCHRG_DP). The simulation for calibration, validation, and overall scales showed an acceptable correlation between the observed and simulated monthly streamflow for all combination datasets. The coefficient of determination (R2) and Nash–Sutcliffe efficiency (NSE) showed “excellent” and “good” values for all datasets. Based on the R2 and NSE from the “excellent” down to “good” datasets, the values were 0.91 and 0.92 using the observational datasets, CRU TS3.1 (0.90 and 0.90), APHRODITE_V1101+CRU TS3.1 (0.74 and 0.76), APHRODITE_V1101+CFSR (0.72 and 0.78), and CFSR (0.67 and 0.74) for the overall scale (1982–2006). The mean annual evapotranspiration values from the UVRB were about 9.93% (APHRODITE_V1101+CFSR), 25.52% (APHRODITE_V1101+CRU TS3.1), 2.9% (CFSR), 21.08% (CRU TS3.1), and 27.28% (observational datasets) of annual precipitation (186.3 mm, 315.7 mm, 72.1 mm, 256.4 mm, and 299.7 mm, out of 1875.9 mm, 1236.9 mm, 2479 mm, 1215.9 mm, and 1098.5 mm). The contributions of the snowmelt to annual runoff were about 81.06% (APHRODITE_V1101+CFSR), 63.12% (APHRODITE_V1101+CRU TS3.1), 82.79% (CFSR), 81.66% (CRU TS3.1), and 67.67% (observational datasets), and the contributions of rain to the annual flow were about 18.94%, 36.88%, 17.21%, 18.34%, and 32.33%, respectively, for the overall scale. We found that gridded climate datasets can be used as an alternative source for hydrological modeling in the Upper Vakhsh River Basin in Central Asia, especially in scarce-observation regions. Water balance components, simulated by the SWAT model, provided a baseline understanding of the hydrological processes through which water management issues can be dealt with in the basin.

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Section: Datamentioning

confidence: 99%

Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia

et al. 2021

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“…The delineated watershed is further subdivided into hydrologic response units (HRU) which is the unique combination of land use, soil, and slope. Each HRU in the model behaves differently for precipitation and temperature input [22]. For the given study each watershed is considered as the single basin to avoid complexity and to match the spatial resolution of AMSR2 soil moisture.…”

Section: Model Applicationmentioning

confidence: 99%

Satellite Soil Moisture Validation Using Hydrological SWAT Model: A Case Study of Puerto Rico, USA

Nilawar¹,

Calderella

Lakhankar

et al. 2017

Hydrology

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Soil moisture is placed at the interface between land and atmosphere which influences water and energy flux. However, soil moisture information has a significant importance in hydrological modelling and environmental processes. Recent advances in acquiring soil moisture from the satellite and its effective utilization provide an alternative to the conventional soil moisture methods. In this study, an attempt is made to apply physically based, distributed-parameter, Soil and Water Assessment Tool (SWAT) to validate Advanced Microwave Scanning Radiometer (AMSR2) soil moisture in parts of Puerto Rico. For this, calibration is performed for the years 2010 to 2012 with known observed discharge sites, Rio Guanajibo and Rio Grande de Añasco in Puerto Rico and validation, with the observed stream flow for the year 2013 using the AMSR2 soil moisture. Moreover, the SWAT and AMSR2 soil moisture outcome are compared on a monthly basis. The model capability and performance in simulating the stream flow are evaluated utilizing the statistical method. The results indicated a negligible difference in SWAT soil moisture and AMSR2 soil moisture for stream flow estimation. Finally, the model retrievals show a satisfactory agreement between observed and simulated streamflow.

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“…The SWAT (Soil and Water Assessment Tool) is an open-source distributed model (Arnold et al, 1998 that has a large and growing application in the hydrological characterizing of catchments (Asurza & Lavado, 2020). Regarding previous studies, the tool has shown strength in discharge estimation in mountainous catchments (Koycegiz & Buyukyildiz, 2019, Luo et al, 2011, Marahatta et al, 2021, Yacoub & Foguet, 2013. The model has successfully been used to estimate flow rates on a wide scale and in various hydrological regions.…”

Section: Introductionmentioning

confidence: 99%

A framework to estimate continuous streamflow at the ungauged site with limited catchment’s hydrological data: Case study Isahaya Catchment

Angalika

Suzuki

Tanaka

et al. 2022

Preprint

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This paper presents a framework for mapping flow information from the gauged to the ungauged river basins. The calibration and validation of a hydrologic model were conducted to establish basic watershed characteristics. The new framework was then applied to account for the two watersheds' proportionality in their similarity, such as the influence of land use on transplanting flow signatures. Three land-use scenarios-discharges at the ungauged and gauged sites formed the basis of an equation mapping the gauged discharge signal to the ungauged site. In comparison with intermittent observed data, the framework prediction attained a precision of 0.85≥NSE≤0.95, 0.80≥R2≤0.94, 0.56≥bR2≤0.89. Despite considerable differences in the watershed area, slope, soils, and land cover, the framework satisfactorily depicted the variation in flow pulses of each river. In the absence of established hydrological information, this provides an alternative flow estimation at ungauged sites, reducing uncertainties in the regionalization of model parameters.

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Slope Effects on SWAT Modeling in a Mountainous Basin

Cited by 17 publications

References 30 publications

Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia

Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia

Satellite Soil Moisture Validation Using Hydrological SWAT Model: A Case Study of Puerto Rico, USA

A framework to estimate continuous streamflow at the ungauged site with limited catchment’s hydrological data: Case study Isahaya Catchment

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