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Title

Computation of rainfall erosivity from daily precipitation amounts

AuthorsBeguería, Santiago ; Serrano-Notivoli, Roberto; Tomás-Burguera, Miquel
KeywordsSoil erosion
Rainfall erosivityRUSLEUSLERfactor
Rainfall erosivity
RUSLE
USLE
R factor
E130
Issue DateOct-2018
PublisherElsevier
CitationBeguería S, Serrano-Notivoli R, Tomás-Burguera M. Computation of rainfall erosivity from daily precipitation amounts. Science of the Total Environment 637-638: 359-373 (2018)
AbstractRainfall erosivity is an important parameter in many erosion models, and the EI30 defined by the Universal Soil Loss Equation is one of the best known erosivity indices. One issue with this and other erosivity indices is that they require continuous breakpoint, or high frequency time interval, precipitation data. These data are rare, in comparison to more common medium-frequency data, such as daily precipitation data commonly recorded by many national and regional weather services. Devising methods for computing estimates of rainfall erosivity from daily precipitation data that are comparable to those obtained by using high-frequency data is, therefore, highly desired. Here we present a method for producing such estimates, based on optimal regression tools such as the Gamma Generalised Linear Model and universal kriging. Unlike other methods, this approach produces unbiased and very close to observed EI30, especially when these are aggregated at the annual level. We illustrate the method with a case study comprising more than 1500 high-frequency precipitation records across Spain. Although the original records have a short span (the mean length is around 10 years), computation of spatially-distributed upscaling parameters offers the possibility to compute high-resolution climatologies of the EI30 index based on currently available, long-span, daily precipitation databases.
Description42 Pags.- 2 Tabls.- 16 Figs. The definitive version is available at: https://www.sciencedirect.com/science/journal/00489697
Publisher version (URL)https://doi.org/10.1016/j.scitotenv.2018.04.400
URIhttp://hdl.handle.net/10261/165189
DOI10.1016/j.scitotenv.2018.04.400
ISSN0048-9697
E-ISSN1879-1026
Appears in Collections:(EEAD) Artículos
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