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Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model

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Názov: Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model
Autori: Aleksić Milica, Parajka Juraj, Sleziak Patrik, Hlavčová Kamila, Danáčová Michaela
Zdroj: Journal of Hydrology and Hydromechanics, Vol 72, Iss 4, Pp 436-446 (2024)
Informácie o vydavateľovi: Walter de Gruyter GmbH, 2024.
Rok vydania: 2024
Predmety: ascat, 0208 environmental biotechnology, 0207 environmental engineering, land cover zones, Hydraulic engineering, 02 engineering and technology, soil moisture, hydrological modelling, TC1-978, multi-objective calibration
Popis: This study proposes a new method for dividing a catchment with the aim of testing it in the calibration process of a conceptual hydrological model. The new catchment division is reflected in having different land cover zones and the input data prepared in a semi-distributed way. This study also explores the impact of satellite soil moisture data when multi-objective calibration is used with the land cover zone divisions of a catchment while assigning different weights to runoff ranging from 0% to 100% (with a 0.05 step). The results indicate that using a weight range of 60% to 80% on a runoff provides optimal results, bettering both the runoff model’s efficiency and soil moisture correlation. For further validation of the internal parameters and processes, the field capacity and evapotranspiration of the catchment were monitored. In regions with specially limited in-situ soil moisture data, satellite-derived data can contribute as an scarce additional component of the land cover division that can point out areas of the most reliable soil moisture information.
Druh dokumentu: Article
Jazyk: English
ISSN: 1338-4333
DOI: 10.2478/johh-2024-0026
Prístupová URL adresa: https://doaj.org/article/42f023eab94d45d89667ae409a732e0d
Rights: CC BY NC ND
Prístupové číslo: edsair.doi.dedup.....8e2e9060d56572fa2489d918615089cf
Databáza: OpenAIRE
Popis
Abstrakt:This study proposes a new method for dividing a catchment with the aim of testing it in the calibration process of a conceptual hydrological model. The new catchment division is reflected in having different land cover zones and the input data prepared in a semi-distributed way. This study also explores the impact of satellite soil moisture data when multi-objective calibration is used with the land cover zone divisions of a catchment while assigning different weights to runoff ranging from 0% to 100% (with a 0.05 step). The results indicate that using a weight range of 60% to 80% on a runoff provides optimal results, bettering both the runoff model’s efficiency and soil moisture correlation. For further validation of the internal parameters and processes, the field capacity and evapotranspiration of the catchment were monitored. In regions with specially limited in-situ soil moisture data, satellite-derived data can contribute as an scarce additional component of the land cover division that can point out areas of the most reliable soil moisture information.
ISSN:13384333
DOI:10.2478/johh-2024-0026