Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)

The need for continuous recording rain gauges makes it difficult to determine the rainfall erosivity factor (Rfactor) of the Universal Soil Loss Equation in regions without good spatial and temporal data coverage. In particular, the R-factor is only known at 16 rain gauge stations in the Madrid Regi...

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Main Authors: Hernando David, Romana Manuel G.
Format: Article
Language:English
Published: Sciendo 2015-03-01
Series:Journal of Hydrology and Hydromechanics
Subjects:
Online Access:https://doi.org/10.1515/johh-2015-0003
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spelling doaj-79e80c08b2aa416f828fbc9d567955a62021-09-06T19:40:47ZengSciendoJournal of Hydrology and Hydromechanics0042-790X2015-03-01631556210.1515/johh-2015-0003johh-2015-0003Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)Hernando David0Romana Manuel G.1Department of Civil Engineering – Transport, Technical University of Madrid, Profesor Aranguren 3, 28040 Madrid, SpainDepartment of Civil Engineering – Transport, Technical University of Madrid, Profesor Aranguren 3, 28040 Madrid, SpainThe need for continuous recording rain gauges makes it difficult to determine the rainfall erosivity factor (Rfactor) of the Universal Soil Loss Equation in regions without good spatial and temporal data coverage. In particular, the R-factor is only known at 16 rain gauge stations in the Madrid Region (Spain). The objectives of this study were to identify a readily available estimate of the R-factor for the Madrid Region and to evaluate the effect of rainfall record length on estimate precision and accuracy. Five estimators based on monthly precipitation were considered: total annual rainfall (P), Fournier index (F), modified Fournier index (MFI), precipitation concentration index (PCI) and a regression equation provided by the Spanish Nature Conservation Institute (RICONA). Regression results from 8 calibration stations showed that MFI was the best estimator in terms of coefficient of determination and root mean squared error, closely followed by P. Analysis of the effect of record length indicated that little improvement was obtained for MFI and P over 5- year intervals. Finally, validation in 8 additional stations supported that the equation R = 1.05·MFI computed for a record length of 5 years provided a simple, precise and accurate estimate of the R-factor in the Madrid Region.https://doi.org/10.1515/johh-2015-0003rainfall erosivityr-factoruniversal soil loss equationmodified fournier indexsoil erosion
collection DOAJ
language English
format Article
sources DOAJ
author Hernando David
Romana Manuel G.
spellingShingle Hernando David
Romana Manuel G.
Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)
Journal of Hydrology and Hydromechanics
rainfall erosivity
r-factor
universal soil loss equation
modified fournier index
soil erosion
author_facet Hernando David
Romana Manuel G.
author_sort Hernando David
title Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)
title_short Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)
title_full Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)
title_fullStr Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)
title_full_unstemmed Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)
title_sort estimating the rainfall erosivity factor from monthly precipitation data in the madrid region (spain)
publisher Sciendo
series Journal of Hydrology and Hydromechanics
issn 0042-790X
publishDate 2015-03-01
description The need for continuous recording rain gauges makes it difficult to determine the rainfall erosivity factor (Rfactor) of the Universal Soil Loss Equation in regions without good spatial and temporal data coverage. In particular, the R-factor is only known at 16 rain gauge stations in the Madrid Region (Spain). The objectives of this study were to identify a readily available estimate of the R-factor for the Madrid Region and to evaluate the effect of rainfall record length on estimate precision and accuracy. Five estimators based on monthly precipitation were considered: total annual rainfall (P), Fournier index (F), modified Fournier index (MFI), precipitation concentration index (PCI) and a regression equation provided by the Spanish Nature Conservation Institute (RICONA). Regression results from 8 calibration stations showed that MFI was the best estimator in terms of coefficient of determination and root mean squared error, closely followed by P. Analysis of the effect of record length indicated that little improvement was obtained for MFI and P over 5- year intervals. Finally, validation in 8 additional stations supported that the equation R = 1.05·MFI computed for a record length of 5 years provided a simple, precise and accurate estimate of the R-factor in the Madrid Region.
topic rainfall erosivity
r-factor
universal soil loss equation
modified fournier index
soil erosion
url https://doi.org/10.1515/johh-2015-0003
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