A stem spacing‑based non‑dimensional model for predicting longitudinal dispersion in low‑density emergent vegetatio

• Autorzy: Sonnenwald F. , Stovin V. , Guymer I.

Identyfikatory

DOI

10.1007/s11600-018-0217-z

• Języki publikacji: EN

Abstrakty

EN

Predicting how pollutants disperse in vegetation is necessary to protect natural watercourses. This can be done using the one-dimensional advection dispersion equation, which requires estimates of longitudinal dispersion coefficients in vegetation. Dye tracing was used to obtain longitudinal dispersion coefficients in emergent artificial vegetation of different densities and stem diameters. Based on these results, a simple non-dimensional model, depending on velocity and stem spacing, was developed to predict the longitudinal dispersion coefficient in uniform emergent vegetation at low densities (solid volume fractions < 0.1). Predictions of the longitudinal dispersion coefficient from this simple model were compared with predictions from a more complex expression for a range of experimental data, including real vegetation. The simple model was found to predict correct order of magnitude dispersion coefficients and to perform as well as the more complex expression. The simple model requires fewer parameters and provides a robust engineering approximation.

Słowa kluczowe

EN

longitudinal dispersion; 1-D modelling; vegetated flows; cylinder array; stem spacing; solute transport

PL

dyspersja wzdłużna; modelowanie 1D

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2019
• Tom: Vol. 67, no. 3
• Strony: 943--949
• Opis fizyczny: Bibliogr. 20 poz.

Twórcy

autor

Sonnenwald F.

• Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK

autor

Stovin V.

• Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK

autor

Guymer I.

• Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).