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Determining Rainfall Erosivity in Costa Rica

A Practical Approach

Bibliographic Data

ID13908440
AuthorsJulio Calvo‐Alvarado (0000-0001-9555-6420, Instituto Tecnológico de Costa Rica, corresponding author), Julio César Calvo-Alvarado, Cesar Dionisio Jiménez‐Rodríguez (0000-0002-6339-5981, Instituto Tecnológico de Costa Rica), César Dionisio Jiménez-Rodríguez, Vladimir Jiménez-Salazar (0009-0006-4744-9501, Instituto Tecnológico de Costa Rica)
Year2014
Volume34
Issue1
Pages48-48
Publication date2014-02-01
Open AccessYes
TypeARTICLE
VenueMountain Research and Development (JOURNAL)
Journal identifiersISSN: 0276-4741 • E-ISSN: 1994-7151
PublisherInternational Mountain Society (PUBLISHER • CH)
DOI10.1659/mrd-journal-d-13-00062.1
OpenAlexW2039869556
LanguageEN
Citations received1
References cited39

Rainfall erosivity (R-factor) is an important variable used in soil erosion estimation models. In Costa Rica, the R-factor was computed for 106 stations across the country by Wilhelm-Gu nther Vahrson in 1990. These results provided the main input information for this study, which used them to estimate the R-factor for Costa Rica. Regression equations were computed to estimate the R-factor for the Caribbean slope, the Pacific slope, and the country as a whole. Forward stepwise analysis and multiple regression analysis were employed to determine the regression coefficients for each developed equation. Elevation and monthly rainfall had a strong influence on the definition of the R-factor equations. The Modified Fournier Index variable was included only in the national-scale equation as a good proxy for the mean annual precipitation effect at each site. Inclusion of elevation in all equations reflects the importance of the transitional effect of high-intensity convective rainfall in the lowlands and lowintensity orographic rainfall in the highlands. This study provides an easy way to estimate the R-factor using regression equations that require only simple and readily available geophysical information. The use of these equations in conjunction with soil and land-use maps as well as digital elevation models will allow the estimation and evaluation of soil erosion on a watershed scale in Costa Rica. This will also improve the application of other hydrological models that require soil erosion as an input variable to estimate sediment yields

Cartography · Digital elevation model · Elevation (ballistics · Erosion · Geography · Geomorphology · Geotechnical engineering · Hydrology (agriculture · Meteorology · Physical geography · Precipitation · Regression · Regression analysis · Remote sensing · Scale (ratio · Sediment · Soil loss · Statistics · Universal Soil Loss Equation · Watershed · Aeolian processes and effects · Computer Science · Environmental Science · Hydrology and Sediment Transport Processes · Mathematics · Soil erosion and sediment transport · Geology

  • Performance of Two Hydrological Models in Predicting Daily Flow under a Climate Change Scenario for Mountainous Catchments in Northwestern Costa Rica

    Open Access•Cesar Dionisio Jiménez‐Rodríguez, César D Jiménez-Rodríguez et al.•Mountain Research and Development•2015

  • Impact of Humans on the Flux of Terrestrial Sediment to the Global Coastal Ocean

    Open Access•James P M Syvitski, Charles J Vörösmarty et al.•Science•2005

Citations per year0.09
Citation span2015 - 2015 (1)
Highly citedNo

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