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Discussion papers | Copyright
https://doi.org/10.5194/hess-2016-44
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Feb 2016

Research article | 18 Feb 2016

Review status
This discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The revised manuscript was not accepted.

Hydrological Modeling in an Ungauged Basin of Central Vietnam Using SWAT Model

Ammar Rafiei Emam1, Martin Kappas1, Linh Hoang Khanh Nguyen2, and Tsolmon Renchin3 Ammar Rafiei Emam et al.
  • 1Department of Cartography, GIS and Remote Sensing, Georg-August University Goettingen, Germany
  • 2Faculty of Land Resources and Agricultural Environment (FLRAE) Hue University of Agriculture and Forestry (HUAF), Vietnam
  • 3Remote Sensing and Space Science Laboratory, National University of Mongolia (NUM), Mongolia

Abstract. Hydrological modeling of ungauged basins which have a high risk of natural hazards (e.g., flooding, droughts) is always imperative for policymakers and stakeholders. The Aluoi district in Hue province is a representative case study in Central Vietnam, as it is under extreme pressure of natural and anthropogenic factors. Flooding, soil erosion and sedimentation are the main hazards in this area, which threaten socio-economic activities not only in this district but also those of the area downstream. To evaluate the water resources and risk of natural hazards, we used Soil and Water Assessment Tools (SWAT) to set up a hydrological model in the ungauged basin of Aluoi district. A regionalization approach was used to predict the river discharge at the outlet of the basin. The model was calibrated in three time scales: daily, monthly and yearly by river discharge, actual evapotranspiration (ETa) and crop yield, respectively. The model was calibrated with Nash-Sutcliff and an R2 coefficients greater than 0.7, in daily and monthly scales, respectively. In the yearly scale, the crop yield inside the model was calibrated and validated with RMSE less than 2.4 ton/ha, which showed the high performance of the model. The water resource components were mapped temporally and spatially. The outcomes showed that the highest mean monthly surface runoff, 700 to 765 mm, between September and November, resulted in extreme soil erosion and sedimentation. The monthly average of actual evapotranspiration was the highest in May and lowest in December. Furthermore, installing "Best Management Practice" (BMPs) reduced surface runoff and soil erosion in agricultural lands. However, using event-based hydrological and hydraulically models in the prediction and simulation of flooding events is recommended in further studies.

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Ammar Rafiei Emam et al.
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The SWAT model was used to simulate the water cycle in the ungauged basin of Aluoi, Vietnam. The model was calibrated based on daily river discharge (predicted by regionalization), monthly actual evapotranspiration and yearly crop yield.The results showed that the surface runoff is highest between September and November which resulted in extreme soil erosion and sedimentation. Best Management Practice (BMPs) reduced surface runoff and soil erosion in agricultural lands.
The SWAT model was used to simulate the water cycle in the ungauged basin of Aluoi, Vietnam. The...
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