A Study on the Applicability of a Swat Model in Predicting the Water Yield and Water Balance of the Upper Ouémé Catchment in the Republic of Benin

Olofintoye, Oluwatosin Onaopemipo; Ayanshola, AM; Salami, Adebayo Wahab; Idrissiou, Akim; Iji, Juliana O.; Adeleke, Oluwafemi Oyetunde

doi:10.2478/sjce-2022-0007

Cited by 5 publications

(6 citation statements)

References 20 publications

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“…Notably, our study indicated that SWAT-based lateral flow estimation was relatively low, suggesting that lateral flow made a minor contribution to streamflow. This finding aligns with results from Olofintoye et al [29]. The reduced lateral flow can be attributed to the absence of impervious zones in the catchment, which could have otherwise contributed to higher quick flow.…”

Section: Comprehensive Analysis Of Water Balance Componentssupporting

confidence: 92%

“…The rainy season unfolds in a unimodal pattern, typically spanning from April to October each year, with the zenith of precipitation occurring in August. Over the years 1998 to 2017, the average yearly temperature ranged between 25°C and 30°C, with an annual rainfall variation between 900 mm and 1,200 mm, as reported by Olofintoye et al [29].…”

Section: Study Area Descriptionsupporting

confidence: 62%

“…It's noteworthy that these findings surpass those reported by Dègan et al [37], reported a lower NS of 0.72 and R² of 0.73 during calibration, with both NSE and R² decreasing to 0.51 for the validation period in the Beterou catchment. Similarly, Olofintoye et al [29] recorded a NSE of 0.66 for calibration and 0.75 for validation in the Upper Oueme catchment. The PBIAS values in this study fell within the range of ±3.1% ≤ PBIAS < ±12.2%.…”

Section: Model Performance Evaluationmentioning

confidence: 88%

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Estimating Water Balance at Beterou Watershed, Benin Using Soil and Water Assessment Tool (SWAT) Model

Maforikan,

Hammani,

Ahouansou

et al. 2023

Preprint

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Sustained water management requires quantitative information and the knowledge of spatiotemporal dynamics of hydrological system within the basin. This can be achieved through the research. Several studies have investigated both surface water and groundwater in Beterou catchment. However, there are few published papers on the application of the SWAT modeling in Beterou catchment. The objective of this study was to evaluate the performance of SWAT to simulate the water balance within the watershed. The inputs data consist of digital elevation model, land use maps, soil map, climatic data and discharge records. The model was calibrated and validated using the Sequential Uncertainty Fitting (SUFI2) approach. The calibrated started from 1989 to 2006 with four years warming up period (1985-1988); and validation was from 2007 to 2020. The goodness of the model was assessed using five indices, i.e., Nash–Sutcliffe efficiency (NSE), the ratio of the root means square error to the standard deviation of measured data (RSR), percent bias (PBIAS), the coefficient of determination (R²), and Kling Gupta efficiency (KGE). Results showed that SWAT model successfully simulated river flow in Beterou catchment with NSE = 0.79, R2 = 0.80 and KGE= 0.83 for the calibration process against validation process that provides NSE = 0.78, R2 = 0.78 and KGE= 0.85 using site-based streamflow data. The relative error (PBIAS) ranges from -12.2% to 3.1%. The parameters runoff curve number (CN2), Moist Bulk Density (SOL_BD), Base Flow Alpha Factor (ALPHA_BF), and the available water capacity of the soil layer (SOL_AWC) were the most sensitive parameter. The study provides further research with uncertainty analysis and recommendations for model improvement and provision of an efficient means to improve rainfall and discharges measurement data.

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Section: Comprehensive Analysis Of Water Balance Componentssupporting

confidence: 92%

Section: Study Area Descriptionsupporting

confidence: 62%

Section: Model Performance Evaluationmentioning

confidence: 88%

See 1 more Smart Citation

Estimating Water Balance at Beterou Watershed, Benin Using Soil and Water Assessment Tool (SWAT) Model

Maforikan,

Hammani,

Ahouansou

et al. 2023

Preprint

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“…Therefore, using the trial-and-error method, an equation defining the approximate value of the infiltration (and therefore also the evapotranspiration) coefficient based on the runoff coefficient was created. The equation fits the ratio between the runoff, infiltration, and evapotranspiration in the annual water balance for humid and sub-tropical regions (Keszeliová et al, 2021;Olofintoye et al, 2022), but it is a struggle to adapt it to semi-arid regions (Yaykiran et al, 2019), as the relationship between PET and P is not yet incorporated into the equation:…”

Section: Redistribution Sub-modelmentioning

confidence: 99%

Development and validation of an Approximate Redistributive Balance model to estimate the distribution of water resources using the WEAP: The lower Hron river basin, Slovakia

Kandera¹,

Výleta²

2023

AHS

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The Approximate Redistributive Balance (ARB) model integrated within the Water Evaluation And Planning (WEAP) software environment aims to retrospectively simulate the flows measured by water gauging stations with sufficient accuracy according to objectives of study. It does so by initially approximating the runoff distribution with a rainfallrunoff model along the modeled streams and then redistributing the difference between the sum of the total simulated runoff to the water gauging station and the flow in the water gauging station (cleaned of any anthropogenic influences). Due to its different approach to the modeling method and the user-friendly environment of the WEAP software, this model, with a relatively small scale of input data, retrospectively simulates flows along the modeled streams with a high degree of accuracy (NSE = 0.89 for similar hydrological regime of validation and calibration basins). This paper describes its development and basic characteristics and provides partial insights into the degree of accuracy with which it can simulate monthly streamflow at water gauging stations and along modeled rivers. It can therefore be a precise foundation for analyses of water management balance scenarios.

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“…The application of satellite-based soil moisture data in rainfall-runoff modelling is mainly concentrated around three areas: estimation of antecedent soil moisture for the initialization of event-based rainfall-runoff models (e.g., Brocca et al, 2009;Jadidoleslam et al, 2019;Sunwoo and Choi, 2017;Tramblay et al, 2012); assimilation of data for operational forecasting (e.g., Ciupak et al, 2019;Jun et al, 2021;Le et al, 2022;Loizu et al, 2018;Massari et al, 2015;Meng et al, 2017); improvements in the parametrization of continuous (primarily conceptual) hydrological models using multiobjective calibration methods (e.g., Kuban et al, 2021;Li et al, 2018;Olofintoye et. al., 2022;Rajib et al, 2016;Tong et al, 2021;Xiong and Zeng, 2019).…”

Section: Introductionmentioning

confidence: 99%

The effects of satellite soil moisture data on the parametrization of topsoil and root zone soil moisture in a conceptual hydrological model

Kubáň

Parajka

Tong

et al. 2022

Journal of Hydrology and Hydromechanics

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In a previous study, the topsoil and root zone ASCAT satellite soil moisture data were implemented into three multi-objective calibration approaches of the TUW hydrological model in 209 Austrian catchments. This paper examines the model parametrization in those catchments, which in the validation of the dual-layer conceptual semi-distributed model showed improvement in the runoff simulation efficiency compared to the single objective runoff calibration. The runoff simulation efficiency of the three multi-objective approaches was separately considered. Inferences about the specific location and the physiographic properties of the catchments where the inclusion of ASCAT data proved beneficial were made. Improvements were primarily observed in the watersheds with lower slopes (median of the catchment slope less than 15 per cent) and a higher proportion of farming land use (median of the proportion of agricultural land above 20 per cent), as well as in catchments where the runoff is not significantly influenced by snowmelt and glacier runoff. Changes in the mean and variability of the field capacity parameter FC of the soil moisture regime were analysed. The values of FC decreased by 20 per cent on average. Consequently, the catchments’ water balance closure generally improved by the increase in catchment evapotranspiration during the validation period. Improvements in model efficiency could be attributed to better runoff simulation in the spring and autumn month. The findings refine recommendations regarding when hydrological modelling could consider satellite soil moisture data added to runoff signatures in calibration useful.

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A Study on the Applicability of a Swat Model in Predicting the Water Yield and Water Balance of the Upper Ouémé Catchment in the Republic of Benin

Cited by 5 publications

References 20 publications

Estimating Water Balance at Beterou Watershed, Benin Using Soil and Water Assessment Tool (SWAT) Model

Estimating Water Balance at Beterou Watershed, Benin Using Soil and Water Assessment Tool (SWAT) Model

Development and validation of an Approximate Redistributive Balance model to estimate the distribution of water resources using the WEAP: The lower Hron river basin, Slovakia

The effects of satellite soil moisture data on the parametrization of topsoil and root zone soil moisture in a conceptual hydrological model

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