Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran

Rostamian, Rokhsare; Jaleh, Aazam; Afyuni, Majid; Mousavi, Seyed Farhad; Heidarpour, Manouchehr; Jalalian, Ahmad; Abbaspour, Karim C.

doi:10.1623/hysj.53.5.977

Cited by 230 publications

(118 citation statements)

References 16 publications

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“…Recently, many studies have applied SWAT to simulate hydrologic and geo-hydrologic processes in watersheds of different sizes not only in the US but also in other regions of different climatic and geologic characteristics [20][21][22][23]. In SWAT, discharge and sediment yield as well as some agriculture-related water quality parameters are typically simulated on a daily time scale for each Hydrologic Response Unit (HRU).…”

Section: The Swat Modelmentioning

confidence: 99%

Hydrologic Simulations Driven by Satellite Rainfall to Study the Hydroelectric Development Impacts on River Flow

Al-Juaidi

Sharif

2014

Water

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This study assesses the impact of hydroelectric dams on the discharge and total suspended solids (TSS) concentration in the Huong River basin in Vietnam. The analysis is based on hydrologic and sediment transport simulations by the Soil and Water Assessment Tool (SWAT) model driven by the Tropical Rainfall Measuring Mission (TRMM) 3B42V6 rainfall data, from January 2003 through December 2010. An upstream sub-basin not affected by the hydroelectric dams was used for model calibration. The calibration results indicate good agreement between simulated and observed daily data (0.67 Nash-Sutcliffe efficiency, 0.82 Pearson correlation coefficient). The calibrated model for discharge and TSS simulation is then applied on another major sub-basin and then the whole Huong River basin. The simulation results indicate that dam operation in 2010 decreased downstream discharge during the rainy season by about 35% and augmented it during the dry season by about 226%. The downstream TSS concentration has decreased due to the dam operation but the total sediment loading increased during the dry season and decreased during the rainy season. On average, the dam construction and operation affected the pattern of discharge more than that of the sediment loading. Results indicate that SWAT, driven by remotely sensed inputs, can reasonably simulate discharge and water quality in ungauged or poorly gauged river basins and can be very useful for water resources assessment and climate change impact studies in such basins. OPEN ACCESSWater 2014, 6 3632

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Section: The Swat Modelmentioning

confidence: 99%

Hydrologic Simulations Driven by Satellite Rainfall to Study the Hydroelectric Development Impacts on River Flow

Al-Juaidi

Sharif

2014

Water

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“…This gives the model strong potential for use in scenario studies of changing land-use and management conditions (e.g. Tripathi et al 2003, Mishra et al 2007, Parajuli et al 2008, Rostamian et al 2008, Hunink et al 2013.…”

confidence: 99%

Targeting of intervention areas to reduce reservoir sedimentation in the Tana catchment (Kenya) using SWAT

Hunink¹,

Niadas

Antonaropoulos

et al. 2013

Hydrological Sciences Journal

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A measurement campaign was carried out in the Upper Tana basin (Kenya) to quantify soil erosion and reservoir sedimentation rates, including a bathymetric reservoir survey and sediment load sampling during one year. Then, distributed soil erosion modelling was performed to study sediment budgets throughout the basin and to evaluate the potential of upstream erosion control through vegetated contour strips and check dams. Finally, the areas where these measures would be most effective were identified and local stakeholder associations to implement them were prioritized. The influence of the scale of implementation was evaluated by using the model to consider three adoption scenarios. This study illustrates the relevance of distributed erosion models to target erosion control measures when sufficient information on the eroding areas is available from field surveys. Bathymetric surveys were fundamental to validate the long-term model response, while point measurements were valuable to verify the spatial variability of model predictions.Key words soil erosion; sediment yield; sedimentation rate; distributed model; SWAT; Kenya; erosion control; soil conservation; watershed management Détermination des zones d'intervention pour la réduction de la sédimentation des réservoirs du bassin du Tana (Kenya) en utilisant SWAT Résumé Une campagne de mesures a été réalisée dans le bassin du Haut Tana (Kenya) afin de quantifier l'érosion des sols et les taux de sédimentation dans le réservoir, comprenant une étude bathymétrique du réservoir et l'échantillonnage des sédiments déposés pendant un an. Une modélisation distribuée de l'érosion des sols a ensuite été réalisée pour étudier le bilan des sédiments dans le bassin et évaluer le potentiel de contrôle de l'érosion en amont, par des bandes de végétation suivant les courbes de niveau et des barrages de retenue. Nous avons enfin identifié les zones où ces mesures seraient les plus efficaces, de même que les associations d'intervenants locaux susceptibles de les mettre en oeuvre. L'influence de la mise en oeuvre a été évaluée en utilisant le modèle selon trois scénarios. Cette étude illustre la pertinence des modèles d'érosion distribués pour concevoir des mesures de lutte contre l'érosion lorsque suffisamment d'informations sur les zones érodées, provenant d'enquêtes sur le terrain, sont disponibles. Les levés bathymétriques ont été fondamentaux pour valider la réponse du modèle à long terme, tandis que les mesures ponctuelles ont été utiles pour vérifier la variabilité spatiale des prévisions du modèle.

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“…Moreover, user can manually adjust the period of observation used for calibration (e.g., the period of recession or flood). In this study, calibration was performed using the SUFI2 algorithm, which has been used to optimize SWAT parameters in many studies [39,51,52].…”

Section: Description Of Swat and Swat-cupmentioning

confidence: 99%

Development of Web-Based RECESS Model for Estimating Baseflow Using SWAT

2014

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Abstract:Groundwater has received increasing attention as an important strategic water resource for adaptation to climate change. In this regard, the separation of baseflow from streamflow and the analysis of recession curves make a significant contribution to integrated river basin management. The United States Geological Survey (USGS) RECESS model adopting the master-recession curve (MRC) method can enhance the accuracy with which baseflow may be separated from streamflow, compared to other baseflow-separation schemes that are more limited in their ability to reflect various watershed/aquifer characteristics. The RECESS model has been widely used for the analysis of hydrographs, but the applications using RECESS were only available through Microsoft-Disk Operating System (MS-DOS). Thus, this study aims to develop a web-based RECESS model for easy separation of baseflow from streamflow, with easy applications for ungauged regions. RECESS on the web derived the alpha factor, which is a baseflow recession constant in the Soil Water Assessment Tool (SWAT), and this variable was provided to SWAT as the input. The results showed that the alpha factor estimated from the web-based RECESS model improved the predictions of streamflow and recession. Furthermore, these findings showed that the baseflow characteristics of the ungauged watersheds were influenced by the land use and slope angle of watersheds, as well as by precipitation and streamflow. OPEN ACCESSSustainability 2014, 6 2358

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Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran

Cited by 230 publications

References 16 publications

Hydrologic Simulations Driven by Satellite Rainfall to Study the Hydroelectric Development Impacts on River Flow

Hydrologic Simulations Driven by Satellite Rainfall to Study the Hydroelectric Development Impacts on River Flow

Targeting of intervention areas to reduce reservoir sedimentation in the Tana catchment (Kenya) using SWAT

Development of Web-Based RECESS Model for Estimating Baseflow Using SWAT

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