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Soil moisture simulations for a sustainable irrigation management

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

Accurate estimations of crop water requirements accounting for spatial heterogeneous soil properties are recognized as a major contribution towards a sustainable agricultural irrigation management. Crop-specific irrigation demand estimations may be improved by physics-based soil moisture models, although spatially distributed soil moisture simulations strongly rely on profound assessments of the model accuracy and applicability under open-field conditions. Hence, this study aims to investigate simulated root-zone soil moisture dynamics on a variably irrigated potato field provided by the HYDRUS-1D model and its suitability for irrigation management purposes in terms of input parameter requirements and applicability on larger, heterogeneous sites. All simulations were highly accurate (RMSE = 0.018 m3 m-3), when compared to in-situ measurements, but varied stronger in topsoil than in subsoil layers. A pixel-based approach using aggregated soil properties, phenological characteristics and meteorological conditions enables appropriate trade-offs between simulation accuracy and the parameterization effort and applicability in irrigation management.

Beschreibung

Wenzel, Jan Lukas; Conrad, Christopher; Pöhlitz, Julia (2024): Soil moisture simulations for a sustainable irrigation management. 44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft. DOI: 10.18420/giljt2024_20. Bonn: Gesellschaft für Informatik e.V.. ISSN: 2944-7682. PISSN: 1617-5468. ISBN: 978-3-88579-738-8. pp. 449-454. Stuttgart. 27.-28. Februar 2024

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