Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model
The A-Luoi district in Thua Thien Hue province of Vietnam is under extreme pressure from natural and anthropogenic factors. The area is ungauged and suffering from data scarcity. To evaluate the water resources availability and water management, we used Soil and Water Assessment Tools (SWAT). A mult...
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doaj-d30a845195914b519899a1afae40939b2020-11-24T21:20:11ZengMDPI AGHydrology2306-53382017-02-01411610.3390/hydrology4010016hydrology4010016Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT ModelAmmar Rafiei Emam0Martin Kappas1Nguyen Hoang Khanh Linh2Tsolmon Renchin3Department of Cartography, GIS and Remote Sensing, Georg-August University Goettingen, Goettingen 37077, GermanyDepartment of Cartography, GIS and Remote Sensing, Georg-August University Goettingen, Goettingen 37077, GermanyFaculty of Land Resources and Agricultural Environment (FLRAE), Hue University of Agriculture and Forestry (HUAF), Hue city 0084,VietnamRemote Sensing and Space Science Laboratory, National University of Mongolia (NUM), Ulaanbaatar 14201, MongoliaThe A-Luoi district in Thua Thien Hue province of Vietnam is under extreme pressure from natural and anthropogenic factors. The area is ungauged and suffering from data scarcity. To evaluate the water resources availability and water management, we used Soil and Water Assessment Tools (SWAT). A multi-approach technique was used to calibrate the hydrological model. 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-Sutcliffe and 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 Root Mean Square Error (RMSE) less than 2.4 ton/ha. The water resource components were mapped temporally and spatially. The outcomes showed that the highest mean monthly surface runoff, 323 to 369 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 Practices” (BMPs) reduced surface runoff in agricultural lands. However, using event-based hydrological and hydraulic models in the prediction and simulation of flooding events is recommended in further studies.http://www.mdpi.com/2306-5338/4/1/16water managementregionalizationMODISbest management practicesurface runoff |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ammar Rafiei Emam Martin Kappas Nguyen Hoang Khanh Linh Tsolmon Renchin |
spellingShingle |
Ammar Rafiei Emam Martin Kappas Nguyen Hoang Khanh Linh Tsolmon Renchin Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model Hydrology water management regionalization MODIS best management practice surface runoff |
author_facet |
Ammar Rafiei Emam Martin Kappas Nguyen Hoang Khanh Linh Tsolmon Renchin |
author_sort |
Ammar Rafiei Emam |
title |
Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model |
title_short |
Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model |
title_full |
Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model |
title_fullStr |
Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model |
title_full_unstemmed |
Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model |
title_sort |
hydrological modeling and runoff mitigation in an ungauged basin of central vietnam using swat model |
publisher |
MDPI AG |
series |
Hydrology |
issn |
2306-5338 |
publishDate |
2017-02-01 |
description |
The A-Luoi district in Thua Thien Hue province of Vietnam is under extreme pressure from natural and anthropogenic factors. The area is ungauged and suffering from data scarcity. To evaluate the water resources availability and water management, we used Soil and Water Assessment Tools (SWAT). A multi-approach technique was used to calibrate the hydrological model. 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-Sutcliffe and 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 Root Mean Square Error (RMSE) less than 2.4 ton/ha. The water resource components were mapped temporally and spatially. The outcomes showed that the highest mean monthly surface runoff, 323 to 369 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 Practices” (BMPs) reduced surface runoff in agricultural lands. However, using event-based hydrological and hydraulic models in the prediction and simulation of flooding events is recommended in further studies. |
topic |
water management regionalization MODIS best management practice surface runoff |
url |
http://www.mdpi.com/2306-5338/4/1/16 |
work_keys_str_mv |
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