1. The Effect of Temporal Aggregation of Observation Data on Parameter Calibration Results and the Efficiency of Runoff Simulation: Case Study of Small Catchments (Southern Primorskii Krai, Russia).
- Author
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Lupakov, S. Yu., Bugaets, A. N., Gonchukov, L. V., Shamov, V. V., and Sokolov, O. V.
- Subjects
RUNOFF ,RAINFALL ,RUNOFF models ,POWER (Social sciences) ,CALIBRATION ,WATERSHEDS - Abstract
The effect of time aggregation (1, 3, 6, 12, and 24 h) of input data on the efficiency and parameter values of the conceptual HBV model was studied based on special field observations, carried out on four small experimental catchments (3.1–26.3 km
2 ) in the basin of the Pravaya Sokolovka R. (Verkhneussuriiskii gage, upper Ussuri R., southern Primorskii Krai) in 2012–2022. It was shown that a decrease in the calculation step leads to a gradual decrease in the simulation quality, calculated with the use of Nash–Sutcliff coefficient. The model demonstrates high efficiency in calculating the hydrographs of high floods for all examined catchment areas, but does not reproduce diurnal variations of water discharges (0.1–1.0 mm layer) during low-water season. The model proportions of runoff genetic components, at which the system gradually passes to the predominance of some genetic component, do not depend on the calculation step and have relatively constant values. At the same time, an increase in the calculation time step also leads to a successive increase of the model water discharges, expressed in mm of layer thickness, by a factor of about 2. The regularities in the variations of the parameters in the block describing the formation and transformation of HBV, as well as maximal measured precipitation totals at changes in the time step for rains ≥30 mm/day can be well approximated by power relationships with exponents 0.3–0.6. It was supposed that for high-intensity rains, the dependence of maximal precipitation amounts on the aggregation time interval can have an effect on the values of parameters of HBV-type models. [ABSTRACT FROM AUTHOR]- Published
- 2024
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