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

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...

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Main Authors: Bugaets, Andrey, Gartsman, Boris, Gubareva, Tatiana, Lupakov, Sergei, Kalugin, Andrey, Shamov, Vladimir, Gonchukov, Leonid
Format: Text
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.5194/hess-2021-626
https://hess.copernicus.org/preprints/hess-2021-626/
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spelling ftcopernicus:oai:publications.copernicus.org:hessd100220 2023-05-15T18:30:54+02:00 Comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling Bugaets, Andrey Gartsman, Boris Gubareva, Tatiana Lupakov, Sergei Kalugin, Andrey Shamov, Vladimir Gonchukov, Leonid 2021-12-22 application/pdf https://doi.org/10.5194/hess-2021-626 https://hess.copernicus.org/preprints/hess-2021-626/ eng eng doi:10.5194/hess-2021-626 https://hess.copernicus.org/preprints/hess-2021-626/ eISSN: 1607-7938 Text 2021 ftcopernicus https://doi.org/10.5194/hess-2021-626 2021-12-27T17:22:18Z 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. Text taiga Copernicus Publications: E-Journals Pacific
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description 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.
format Text
author Bugaets, Andrey
Gartsman, Boris
Gubareva, Tatiana
Lupakov, Sergei
Kalugin, Andrey
Shamov, Vladimir
Gonchukov, Leonid
spellingShingle Bugaets, Andrey
Gartsman, Boris
Gubareva, Tatiana
Lupakov, Sergei
Kalugin, Andrey
Shamov, Vladimir
Gonchukov, Leonid
Comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling
author_facet Bugaets, Andrey
Gartsman, Boris
Gubareva, Tatiana
Lupakov, Sergei
Kalugin, Andrey
Shamov, Vladimir
Gonchukov, Leonid
author_sort Bugaets, Andrey
title Comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling
title_short Comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling
title_full Comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling
title_fullStr Comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling
title_full_unstemmed Comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling
title_sort comparing the runoff decompositions of small testbed catchments: end-member mixing analysis against hydrological modelling
publishDate 2021
url https://doi.org/10.5194/hess-2021-626
https://hess.copernicus.org/preprints/hess-2021-626/
geographic Pacific
geographic_facet Pacific
genre taiga
genre_facet taiga
op_source eISSN: 1607-7938
op_relation doi:10.5194/hess-2021-626
https://hess.copernicus.org/preprints/hess-2021-626/
op_doi https://doi.org/10.5194/hess-2021-626
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