Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model
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 expl...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-12-01
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| Series: | Journal of Hydrology and Hydromechanics |
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| Online Access: | https://doi.org/10.2478/johh-2024-0026 |
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| _version_ | 1846129161500884992 |
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| author | Aleksić Milica Parajka Juraj Sleziak Patrik Hlavčová Kamila Danáčová Michaela |
| author_facet | Aleksić Milica Parajka Juraj Sleziak Patrik Hlavčová Kamila Danáčová Michaela |
| author_sort | Aleksić Milica |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-42f023eab94d45d89667ae409a732e0d |
| institution | Kabale University |
| issn | 1338-4333 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Hydrology and Hydromechanics |
| spelling | doaj-art-42f023eab94d45d89667ae409a732e0d2024-12-10T07:33:13ZengSciendoJournal of Hydrology and Hydromechanics1338-43332024-12-0172443644610.2478/johh-2024-0026Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological modelAleksić Milica0Parajka Juraj1Sleziak Patrik2Hlavčová Kamila3Danáčová Michaela41Department of Land and Water Resources Management, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinského 11, 810 05 Bratislava, Slovakia.3Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Karlsplatz 13/222, 1040 Vienna, Austria.4Institute of Hydrology, Slovak Academy of Sciences, Ondrašovská 17, 031 05 Liptovský Mikuláš, Slovakia.1Department of Land and Water Resources Management, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinského 11, 810 05 Bratislava, Slovakia.1Department of Land and Water Resources Management, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinského 11, 810 05 Bratislava, Slovakia.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.https://doi.org/10.2478/johh-2024-0026hydrological modellingsoil moistureascatmulti-objective calibrationland cover zones |
| spellingShingle | Aleksić Milica Parajka Juraj Sleziak Patrik Hlavčová Kamila Danáčová Michaela Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model Journal of Hydrology and Hydromechanics hydrological modelling soil moisture ascat multi-objective calibration land cover zones |
| title | Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model |
| title_full | Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model |
| title_fullStr | Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model |
| title_full_unstemmed | Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model |
| title_short | Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model |
| title_sort | evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model |
| topic | hydrological modelling soil moisture ascat multi-objective calibration land cover zones |
| url | https://doi.org/10.2478/johh-2024-0026 |
| work_keys_str_mv | AT aleksicmilica evaluatingtheimpactofsatellitesoilmoisturedataasanadditionalcomponentinthecalibrationofaconceptualhydrologicalmodel AT parajkajuraj evaluatingtheimpactofsatellitesoilmoisturedataasanadditionalcomponentinthecalibrationofaconceptualhydrologicalmodel AT sleziakpatrik evaluatingtheimpactofsatellitesoilmoisturedataasanadditionalcomponentinthecalibrationofaconceptualhydrologicalmodel AT hlavcovakamila evaluatingtheimpactofsatellitesoilmoisturedataasanadditionalcomponentinthecalibrationofaconceptualhydrologicalmodel AT danacovamichaela evaluatingtheimpactofsatellitesoilmoisturedataasanadditionalcomponentinthecalibrationofaconceptualhydrologicalmodel |