| Autor: |
Lupakov, S. Yu., Bugaets, A. N., Gonchukov, L. V., Motovilov, Yu. G., Sokolov, O. V., Bugaets, N. D. |
| Předmět: |
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| Zdroj: |
Russian Meteorology & Hydrology; Feb2023, Vol. 48 Issue 2, p128-137, 10p |
| Abstrakt: |
The open-source low-parametric conceptual hydrological model GR4J was used for runoff simulations of 17 nested catchments of the Upper Ussuri River basin with areas ranging from 133 to 24400 km2, including the Kirovskii outlet. The data of standard hydrometeorological observations of Primorye Administration for Hydrometeorology and Environmental Monitoring were used for the model calibration and verification. Runoff simulations were performed with a daily step. The criteria commonly used in hydrological community, namely, the Nash–Sutcliffe model efficiency coefficient (NSE), coefficient of determination (), and bias (BIAS) were used to assess the modeling efficiency. According to the specified criteria, modeling results are mostly in "satisfactory" or better categories. The base of the unit hydrograph expectedly increases with the catchment area, but there were no other relationships found between the values of calibrated model parameters, the annual water content, and the main morphometric parameters of the catchments. It was shown for the studied catchments that the stabilization and the maxima of the modeling efficiency scores are reached at the catchment areas of 1200–1700 km2. The influence of representativeness of the weather station network on the modeling efficiency was demonstrated using complementary meteorological observations from experimental catchments in the Upper Ussuri basin for the simulation of the catastrophic flood in 2016 that was caused by typhoon Lionrock. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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