IGB

Connexion

(Article of periodic en Anglais - 2013)

Document title

Temporal sensitivity analysis of erosivity estimations in a high rainfall tropical island environment

published at : Southern African geomorphology : looking back, moving forward

Authors(s) and Affiliation(s)

NEL W. (1) ; ANDERSON R.L. (2) ; SUMNER P.D. (2) ; BOOJHAWON R. (3) ; RUGHOOPUTH S.D.D.V. (3) ; DUNPUTH B.H.J. (4) ;
(1) Dept. of Geography and Environmental Science, Univ. of Fort Hare, Alice, AFRIQUE DU SUD
(2) Dept. of Geography, Geoinformatics and Meteorology, Univ., Pretoria, AFRIQUE DU SUD
(3) Fac. of Science, Univ. of Mauritius, Reduit, MAURICE
(4) Mauritius Meteorological Services, Vacoas, MAURICE

Abstract

Using Mauritius as a case study, the value of high-resolution data versus long-term totals in erosivity calculations is investigated. Rainfall data between 2003 and 2008 from automated weather stations at 4 locations ( 2 on the west coast : Albion, Beaux Songes, and 2 in the Central Plateau : Trou aux Cerfs, Grand Bassin) were analyzed. Rainfall erosivity for erosive events was calculated using different set interval data. When the Modified Fournier Index (MFI) was used to determine erosivity through annual and monthly rainfall totals, substantially higher erosivity than the Erosivity Index (EI) method was calculated in both regions. This stems from the large amount of non-erosive rainfall that is generated on Mauritius. The AA. suggest that for the computation of erosivity, rainfall data with the highest possible resolution should be utilised if available and that the application of annual and monthly rainfall totals to assess absolute soil erosion risk within a high rainfall tropical environment must be used with caution

Source

Thematical fascicle

published at : Geografiska annaler. Series A. Physical geography / ISSN 0435-3676 / CODEN GAPGAP

Editor : Svenska sällskapet för antropologi och geografi, Stockholm - SUEDE (1965)

Millesime : 2013, vol. 95, no 4 [pp. 337-343]

Bibliographic references : 1 p.

Collation : fig., tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 2704 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1111/geoa.12017

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
Refdoc record number (ud4) : 28164064 : Permanent link - XML version
Powered by Pxxo