 |
| Titel |
Mapping rainfall erosivity at a regional scale: a comparison of interpolation methods in the Ebro Basin (NE Spain) |
| VerfasserIn |
M. Angulo-Martínez, M. López-Vicente, S. M. Vicente-Serrano, S. Beguería |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 10 ; Nr. 13, no. 10 (2009-10-19), S.1907-1920 |
| Datensatznummer |
250012026
|
| Publikation (Nr.) |
 copernicus.org/hess-13-1907-2009.pdf |
|
|
|
|
|
| Zusammenfassung |
| Rainfall erosivity is a major causal factor of soil erosion, and it is
included in many prediction models. Maps of rainfall erosivity indices are
required for assessing soil erosion at the regional scale. In this study a
comparison is made between several techniques for mapping the rainfall
erosivity indices: i) the RUSLE R factor and ii) the average EI30 index
of the erosive events over the Ebro basin (NE Spain). A spatially dense
precipitation data base with a high temporal resolution (15 min) was used.
Global, local and geostatistical interpolation techniques were employed to
produce maps of the rainfall erosivity indices, as well as mixed methods. To
determine the reliability of the maps several goodness-of-fit and error
statistics were computed, using a cross-validation scheme, as well as the
uncertainty of the predictions, modeled by Gaussian geostatistical
simulation. All methods were able to capture the general spatial pattern of
both erosivity indices. The semivariogram analysis revealed that spatial
autocorrelation only affected at distances of ~15 km around the
observatories. Therefore, local interpolation techniques tended to be better
overall considering the validation statistics. All models showed high
uncertainty, caused by the high variability of rainfall erosivity indices
both in time and space, what stresses the importance of having long data
series with a dense spatial coverage. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|