Genetic disintegration of the runoff hydrograph

Gubareva, T. S.; Гарцман, Б. И.; Шамов, В. В.; Boldeskul, A. G.; Kozhevnikova, N. K.

doi:10.3103/s1068373915030097

Cited by 13 publications

(3 citation statements)

References 6 publications

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“…For the Elovy catchment, the PCA models at the 2 and 3 dimensionality are fault, since the cumulative dispersion of the first three PC does not exceed 88 %. Four end-members (EMs) mixing model is required to successful represent the runoff generation in the Elovy Creek (Gubareva et al, 2015(Gubareva et al, , 2018(Gubareva et al, , 2019. The The identification and interpretation of EMs for the Medvezhy catchment is unambiguous.…”

Section: End-members Mixing Analysis Resultsmentioning

confidence: 99%

“…All listed models are well known in the hydrological community and were previously applied in the region (Gubareva et al, 2015(Gubareva et al, , 2016Lupakov et al, 2021;Bugaets et al, , 2019Bugaets et al, , 2021. For description of the models structure, variables and parameters the original terms from the base publications are used.…”

Section: Methods Of Modellingmentioning

confidence: 99%

“…Hydrocarbonate was determined from unfiltered probes by potentiometric titration in the wake of sampling. Samples of ions HCO 3 − , NO 3 − , Cl − , SO 4 2− , Ca 2 , Mg 2+ , K + , Na + , content of dissolved Si, and dissolved organic carbon (DOC) were collected using 0.45 µm filters and analyzed in the lab (Boldeskul et al, 2014;Gubareva et al, 2015Gubareva et al, , 2016.…”

Section: Case Study: Objects Data and Tools Descriptionmentioning

confidence: 99%

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Comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling

Bugaets

Гарцман

Gubareva

et al. 2021

Preprint

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Abstract. This study is focused on the comparison of catchment streamflow composition simulated with three well-known rainfall-runoff (RR) models (ECOMAG, HBV, SWAT) against hydrograph decomposition onto the principal constituents evaluated from End-Member Mixing Analysis (EMMA). There used the data provided by the short-term in-situ observations at two small mountain-taiga experimental catchments located in the south of Pacific Russia. All used RR models demonstrate that two neighboring small catchments disagree significantly in mutual dynamics of the runoff fractions due to geological and landscape structure differences. The geochemical analysis confirmed the differences in runoff generation processes at both studied catchments. The assessment of proximity of the runoff constituents to the hydrograph decomposition with the EMMA that makes a basis for the RR models benchmark analysis. We applied three data aggregation intervals (season, month and pentad) to find a reasonable data generalization period ensuring results clarity. In terms of runoff composition, the most conformable RR model to EMMA is found to be ECOMAG, HBV gets close to reflect specific runoff events well enough, SWAT gives distinctive behavior against other models. The study shows that along with using the standard efficiency criteria reflected proximity of simulated and modelling values of runoff, compliance with the EMMA results might give useful auxiliary information for hydrological modelling results validation.

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Section: End-members Mixing Analysis Resultsmentioning

confidence: 99%