1988Hydraulic EngineeringRequires access

Upland Erosion Estimates Based on Rainfall Depth

P. Y. Julien

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Abstract

The probability density functions of rainfall duration and intensity are coupled with a physically-based dynamic formulation of rainfall-runoff-sediment transport for upland areas. When considering a single storm, rainfall depth alone is a poor predictor of soil losses because of the effect of rainfall intensity. On a long term basis, however, the total amount of rainfall can be used to predict total erosion losses. Annual erosion losses from 135 experimental plots under a variety of soil types, vegetation densities and conservation practices have been measured over a period of four years. This data set demonstrates that annual erosion losses can be predicted from annual rainfall depths.

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The probability density functions of rainfall duration and intensity are coupled with a physically-based dynamic formulation of rainfall-runoff-sediment transport for upland areas. When considering a single storm, rainfall depth alone is a poor predictor of soil losses because of the effect of rainfall intensity. On a long term basis, however, the total amount of rainfall can be used to predict total erosion losses. Annual erosion losses from 135 experimental plots under a variety of soil types, vegetation densities and conservation practices have been measured over a period of four years. This data set demonstrates that annual erosion losses can be predicted from annual rainfall depths.

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Available abstract

The probability density functions of rainfall duration and intensity are coupled with a physically-based dynamic formulation of rainfall-runoff-sediment transport for upland areas. When considering a single storm, rainfall depth alone is a poor predictor of soil losses because of the effect of rainfall intensity. On a long term basis, however, the total amount of rainfall can be used to predict total erosion losses. Annual erosion losses from 135 experimental plots under a variety of soil types, vegetation densities and conservation practices have been measured over a period of four years. This data set demonstrates that annual erosion losses can be predicted from annual rainfall depths.

Key concepts: Surface runoff, Erosion, Environmental science, Hydrology (agriculture), Storm, Soil conservation, Vegetation (pathology), Intensity (physics)

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