Development and application of a parsimonious statistical model to predict tile flow in minerogenic soils
Subsurface drainage systems are a dominant flow and nitrate transport pathway from fields to surface waters. Existing methods to estimate tile flow are either expensive, complex or need diverse data types. In this study, a parsimonious statistical model was derived and validated for use to obtain es...
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Veröffentlicht in: | Agricultural water management 2023-05, Vol.281, p.108244, Article 108244 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Subsurface drainage systems are a dominant flow and nitrate transport pathway from fields to surface waters. Existing methods to estimate tile flow are either expensive, complex or need diverse data types. In this study, a parsimonious statistical model was derived and validated for use to obtain estimates of annual tile flow at field scale (1–10 ha) and catchment scale (200–1400 ha) in tile-drained minerogenic soils. The model was developed from tile flow and precipitation data from 38 drainage stations distributed all over Denmark. Firstly, a significant linear relationship between tile flow and precipitation was derived (R2 =0.57; P |
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ISSN: | 0378-3774 1873-2283 |
DOI: | 10.1016/j.agwat.2023.108244 |