A daily rainfall erosivity model for Western Amazonia

  • Rainfall erosivities as defined by the R factor from the universal soil loss equation were determined for all events during a two-year period at the station La Cuenca in western Amazonia. Three methods based on a power relationship between rainfall amount and erosivity were then applied to estimate event and daily rainfall erosivities from the respective rainfall amounts. A test of the resulting regression equations against an independent data set proved all three methods equally adequate in predicting rainfall erosivity from daily rainfall amount. We recommend the Richardson model for testing in the Amazon Basin, and its use with the coefficient from La Cuenca in western Amazonia.

Download full text files

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Helmut ElsenbeerORCiD, Keith Cassel, W. Tinner
URN:urn:nbn:de:kobv:517-opus-16962
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (paper 050)
Publication type:Postprint
Language:English
Publication year:1993
Publishing institution:Universität Potsdam
Release date:2008/03/28
Tag:EROSION; KINETIC-ENERGY; MESOSCALE CONVECTIVE COMPLEXES; UNITED-STATES
Source:Journal of Soil and Water Conservation. - 48 (1993), 5, p. 439 - 444. - ISSN 0022-4561 (print), 1941-3300 (online)
Organizational units:Extern / Extern
Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie
DDC classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geoökologie
License (German):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
External remark:
first published in:
Journal of Soil and Water Conservation - 48 (1993), 5, p. 439 - 444
ISSN: 0022-4561 (print), 1941-3300 (online)
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.