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Development of Open-Source Tools for Event-Based Hydrological Modelling Using GIS and Python.

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Názov: Development of Open-Source Tools for Event-Based Hydrological Modelling Using GIS and Python.
Autori: Almeida-Ñauñay, Andrés F., Sanz, Ernesto, Berlanga, Antonio, Patricio, Miguel Ángel, Molina, José M., Zubelzu, Sergio
Zdroj: Water (20734441); Jul2025, Vol. 17 Issue 14, p2160, 24p
Predmety: HYDROLOGIC models, GEOGRAPHIC information systems, OPEN source software, WATERSHEDS, GEOSPATIAL data, PYTHON programming language, WATER management, DISCRETE event simulation
Geografický termín: EBRO River (Spain)
Abstrakt: Detailed modelling of water dynamics at the catchment is of paramount importance for the optimal management and allocation of water resources. The main objective of this work is to present a set of QGIS-based routines for processing easily available geographical information to deliver inputs for integration into hydrological models developed in the Python environment. We present QGIS processes that deliver open format exchangeable files with physical information required for hydrological modelling, allowing a better tailoring of hydrological modelling tasks compared to other blinded existing models. We present the general framework by processing spatial information and running a set of hydrological models in different cases studies in the Spanish Ebro River basin, proving the utility of the proposed method for applying complex and tailored hydrological simulations. [ABSTRACT FROM AUTHOR]
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Databáza: Biomedical Index
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Abstrakt:Detailed modelling of water dynamics at the catchment is of paramount importance for the optimal management and allocation of water resources. The main objective of this work is to present a set of QGIS-based routines for processing easily available geographical information to deliver inputs for integration into hydrological models developed in the Python environment. We present QGIS processes that deliver open format exchangeable files with physical information required for hydrological modelling, allowing a better tailoring of hydrological modelling tasks compared to other blinded existing models. We present the general framework by processing spatial information and running a set of hydrological models in different cases studies in the Spanish Ebro River basin, proving the utility of the proposed method for applying complex and tailored hydrological simulations. [ABSTRACT FROM AUTHOR]
ISSN:20734441
DOI:10.3390/w17142160