|Title||Hydrograph fore - cas ting using the SWAT model (Soil and Water As sessment Tool) on the example of the Desna basin|
|Publication Type||Journal Article|
|Year of Publication||2020|
|Authors||Osypov, VV, Speka, OS, Osadchyi, VI, Osadcha, NM, Bonchkovskyi, AS|
|Abbreviated Key Title||Dopov. Nac. akad. nauk Ukr.|
We evaluated the SWAT model (Soil and Water Assessment Tool) to predict the water runoff in the Desna river basin in 2020. This year was characterized by the abnormally low spring flood. The performance criteria of the calibration/validation for the previous period (2008-2019) were high (R2 = 0.85, NS = 0.85, PBIAS = —0.8 %) that allowed the use of SWAT for the operational forecasting. We computed the water runoff values for 116 subbasins of the Desna watersheds by 12 weather scenarios replicated the observations of the previous years. The scenarios are divided into 3 groups: unfavorable, average, and favorable. According to the average scenario, the model forecasts the rise of the discharge up to 180—220 m3/s at the Desna outlet due to the double monthly norm of precipitation in May. For the first time, the summer peak of the hydrograph might overtop the spring one. We are planning to improve the forecast by automating the modeling routine, expanding the set of weather scenarios, and in-depth adjusting the groundwater parameters of the SWAT model.
|Keywords||Desna river, hydrograph, hydrological forecast, hydrological modeling, SWAT|
1. Lukianets, О. І. & Susidko, М. М. (2004). Complex basin flood forecasting system in Transcarpathia: methodical and technological base of its components. Nauk. Pratsi UkrNDGMI, Iss. 253, pp. 234-249 (in Ukrainian).
2. Kuchment, L. S. (1972). Mathematical modeling of river flow. Leningrad: Hydrometeoizda. (in Russian).
3. Grebin, V. V. (2010). Modern streamflow regime of rivers in Ukraine (landscape-hydrology analysis). Kyiv: Nika-tsentr (in Ukrainian).
4. Balabuh, V. О., Odnoletok, L. L. & Kryvoshein, О. О. (2017). Climate change impacts on the winter wheat productivity in Ukraine during vegetation cycle. Hidrolohiiа, hidrokhimiiа i hidroekolohiiа, No. 3, pp. 72-85 (in Ukrainian).
5. Water scarcity and drought events in Europe during the last decade. European Environment Agency. (2012). Retrieved from https://www.eea.europa.eu/data-and-maps/figures/main-drought-events-in-e...
6. Gassman, P. W., Reyes, M. R., Green, C. H. & Arnold, J. G. (2007). The Soil and Water Assessment Tool: historical development, applications, and future research directions. Trans. ASABE, 50, No. 4, pp. 1211-1250. https://doi.org/10.13031/2013.23637
7. Liu, T., Chen, Y., Li, B., Hu, Y., Qiu, H. & Liang, Z. (2019). Long-term streamflow forecasting for the Cascade Reservoir System of Han River using SWAT with CFS output. Hydrol. Res., 50, No. 2, pp. 655-671. https://doi.org/10.2166/nh.2018.114
8. Sehgal, V., Sridhar, V., Juran, L. & Ogejo, J. A. (2018). Integrating climate forecasts with the soil and wa ter assessment tool (SWAT) for high-resolution hydrologic simulations and forecasts in the southeastern U.S. Sustainability, 10, No. 9, 3079. https://doi.org/10.3390/su10093079
9. Liang, Z., Tang, T., Li, B., Liu, T., Wang, J. & Hu, Y. (2018). Long-term streamflow forecasting using SWAT through the integration of the random forests precipitation generator: case study of Danjiangkou Reservoir. Hydrol. Res., 49, No. 5, pp. 1513-1527. https://doi.org/10.2166/nh.2017.085
10. Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., Santhi, C., Harmel, R.D., van Griensven, A., Van Liew, M. W., Kannan, N. & Jha, M. K. (2012). SWAT: model use, calibration, and validation. Trans. ASABE, 55, No. 4, pp. 1491-1508. https://doi.org/10.13031/2013.42256
11. Osypov, V. V., Osadcha, N. М. & Speka, А. S. (2019). Hydrological processes simulation for the Desna basin with SWAT model (Soil and Water Assessment Tool). In Challenges in hydrology, hydrochemistry, hydroecology (pp. 122-132). Kyiv: Nika-tsentr (in Ukrainian).
12. Osypov, V., Osadcha, N., Hlotka, D., Osadchyi, V. & Nabyvanets, J. (2018). The Desna River daily multi-site streamflow modeling using SWAT with detail snowmelt adjustment. J. Geogr. Geol., 10, No. 3, pp. 92-110. https://doi.org/10.5539/jgg.v10n3p92
13. Moriasi, D. N., Gitau, M. W., Pai, N. & Daggupati, P. (2015). Hydrologic and water quality models: performance measures and evaluation criteria. Trans. ASABE, 58, No. 6, pp. 1763-1785. https://doi.org/10.13031/trans.58.10715
14. Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J. & Srinivasan, R. (2007). Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J. Hydrol., 333, No. 2-4, pp. 413-430. https://doi.org/10.1016/j.jhydrol.2006.09.014
15. Chornomoretz, Yu. & Grebin’, V. (2010). Elements of water river balance annual distribution of Desna Basin and their annual fluctuations. Hidrolohiiа, hidrokhimiiа i hidroekolohiiа, 18, pp. 98-106 (in Ukrainian).