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  Multi-gauge calibration comparison for simulating streamflow across the Major River Basins in Madagascar: SWAT + Toolbox, R-SWAT, and SWAT + Editor Hard calibration

Harifidy, R. Z., Hiroshi, I., Kazuyoshi, S., Jun, M., Harivelo, R. Z. M., Fernandez Palomino, C. A. (2024): Multi-gauge calibration comparison for simulating streamflow across the Major River Basins in Madagascar: SWAT + Toolbox, R-SWAT, and SWAT + Editor Hard calibration. - Hydrology Research, 55, 3, 412-430.
https://doi.org/10.2166/nh.2024.188

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Harifidy, Rakotoarimanana Zy1, Autor
Hiroshi, Ishidaira1, Autor
Kazuyoshi, Souma1, Autor
Jun, Magome1, Autor
Harivelo, Rakotoarimanana Zy Misa1, Autor
Fernandez Palomino, Carlos Antonio2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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Schlagwörter: multi-gauge calibration, Major River Basins in Madagascar (MRBM), R-SWAT, SWAT + Editor, SWAT + Toolbox
 Zusammenfassung: This paper aims to improve the Soil and Water Assessment Tool (SWAT) model performance across the Major River Basins in Madagascar (MRBM), specifically for SWAT simulation in the Manambolo, Onilahy, Mananara, and Mandrare basins. A multi-gauge calibration was carried out to compare the performance of SWAT+ Toolbox, and R-SWAT, SWAT+ Editor Hard calibration on a monthly time step for the periods 1982–1999. We found that the SWAT+ model generated greater surface runoff, while the SWAT model resulted in higher groundwater flow in both CSFR and CHIRPS datasets. It has been demonstrated that the SWAT+ Toolbox had more potential in calibrating runoff across the MRBM compared to R-SWAT. Calibration in both methods led to a reduction in surface runoff, percolation, water yield, and curve number but increased the lateral flow, evapotranspiration (ET), and groundwater flow. The results showed that the multi-gauge calibrations did not significantly enhance simulation performance in the MRBM compared to single-site calibration. The performance of the SWAT+ model for runoff simulation within the SWAT+ Toolbox and R-SWAT was unsatisfactory for most basins (NSE < 0) except for Betsiboka, Mahavavy, Tsiribihina, Mangoro, and Mangoky basins (NSE = 0.40–0.70; R2 = 0.45–0.80, PBIAS≤ ±25), whether considering the CHIRPS or CSFR datasets. Further study is still required to address this issue.

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Sprache(n): eng - Englisch
 Datum: 2023-11-302024-02-082024-02-272024-03-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 19
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.2166/nh.2024.188
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Hydroclimatic Risks
MDB-ID: No data to archive
Research topic keyword: Weather
Model / method: Nonlinear Data Analysis
Regional keyword: Africa
OATYPE: Gold Open Access
 Art des Abschluß: -

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Titel: Hydrology Research
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 55 (3) Artikelnummer: - Start- / Endseite: 412 - 430 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals209
Publisher: IWA Publishing