In this paper, a recently theoretically deduced rill flow resistance equation, based on a power‐velocity profile, was tested using the Water Erosion Prediction Project database. This database includes measurements of flow velocity, water depth, cross section area, wetted perimeter, and bed slope that were made in rills shaped on experimental sites distributed across the continental United States. In particular, three different experimental conditions (only rainfall, only flow, and rain with flow) were examined, and for each condition, the theoretically based relationship for estimating the Γ function of the power velocity profile was calibrated. The results established that (a) the Darcy‐Weisbach friction factor can be accurately estimated using the proposed theoretical approach, and (b) the flow resistance increases with the effect of rainfall impact.

Nicosia, A., Di Stefano, C., Pampalone, V., Palmeri, V., Ferro, V., Nearing, M.A. (2019). Testing a new rill flow resistance approach using the Water Erosion Prediction Project experimental database. HYDROLOGICAL PROCESSES, 33(4), 616-626 [10.1002/hyp.13348].

Testing a new rill flow resistance approach using the Water Erosion Prediction Project experimental database

Nicosia, Alessio;Di Stefano, Costanza;Pampalone, Vincenzo;Palmeri, Vincenzo;Ferro, Vito;
2019-01-01

Abstract

In this paper, a recently theoretically deduced rill flow resistance equation, based on a power‐velocity profile, was tested using the Water Erosion Prediction Project database. This database includes measurements of flow velocity, water depth, cross section area, wetted perimeter, and bed slope that were made in rills shaped on experimental sites distributed across the continental United States. In particular, three different experimental conditions (only rainfall, only flow, and rain with flow) were examined, and for each condition, the theoretically based relationship for estimating the Γ function of the power velocity profile was calibrated. The results established that (a) the Darcy‐Weisbach friction factor can be accurately estimated using the proposed theoretical approach, and (b) the flow resistance increases with the effect of rainfall impact.
2019
Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
Nicosia, A., Di Stefano, C., Pampalone, V., Palmeri, V., Ferro, V., Nearing, M.A. (2019). Testing a new rill flow resistance approach using the Water Erosion Prediction Project experimental database. HYDROLOGICAL PROCESSES, 33(4), 616-626 [10.1002/hyp.13348].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/349882
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