Estimating the r-factor with limited rainfall data: A case study from Penisular Malaysia

There are no files associated with this record.

Title Estimating the r-factor with limited rainfall data: A case study from Penisular Malaysia
Author Yu, Bofu; Hashim, G. M.; Eusof, Z
Journal Name Journal of Soil and Water Conservation
Year Published 2001
Place of publication USA
Publisher Soil and Water Conservation Society
Abstract Lack of long term, continuous pluviograph data makes it difficult to determine the R-factor for the Revised Universal Soil Loss Equation (RUSLE) in many parts of the work Limited pluviograph data and long term daily rainfall data for two sites in Peninsular Malaysia were used to evaluate a daily rainfall erosivity model and estimate the R-factor and its monthly distribution. Mean annual rainfall for the two sites ranged from 1880–3070 mm, and the R-factor ranged from 13,60–21,600 MJ mm ha−1 hr−1 yr−1. A model using daily rainfall data to estimate monthly EI30 performed well with the coefficient of efficiency in excess of 0.87 and a mean discrepancy of less than 2% in the monthly distribution of rainfall erosivity. The rainfall erosivity model can be used to accurately estimate the R-factor and its seasonal distribution with long term daily rainfall data which are available in Malaysia, and elsewhere in the world.
Peer Reviewed Yes
Published Yes
Alternative URI http://www.jswconline.org/content/56/2/101.abstract
Volume 56
Issue Number 2
Page from 101
Page to 105
ISSN 0022-4561
Date Accessioned 2002-04-08
Date Available 2010-07-06T07:00:34Z
Language en_AU
Research Centre Atmospheric Environment Research Centre
Subject PRE2009-Surfacewater Hydrology
URI http://hdl.handle.net/10072/3974
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

Brief Record

Griffith University copyright notice