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Soil moisture simulations for a sustainable irrigation management

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dc.contributor.authorWenzel, Jan Lukas
dc.contributor.authorConrad, Christopher
dc.contributor.authorPöhlitz, Julia
dc.date.accessioned2024-04-08T11:56:36Z
dc.date.available2024-04-08T11:56:36Z
dc.date.issued2024
dc.description.abstractAccurate 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.en
dc.identifier.isbn978-3-88579-738-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43918
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics(LNI) - Proceedings, Volume P - 344
dc.subjectHYDRUS-1D
dc.subjectplant available water
dc.subjectirrigation decision support systems
dc.subjectgun sprinkler irrigation
dc.subjectpotato production
dc.titleSoil moisture simulations for a sustainable irrigation managementen
dc.typeText/Conference Paper
gi.citation.endPage454
gi.citation.publisherPlaceBonn
gi.citation.startPage449
gi.conference.date27.-28. Februar 2082
gi.conference.locationStuttgart
gi.conference.reviewfull

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P344 - 44. GIL-Jahrestagung 2023 - Fokus: Biodiversität fördern durch digitale Landwirtschaft