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| Titel |
Rainfall erosivity estimation based on rainfall data collected over a range of temporal resolutions |
| VerfasserIn |
S. Yin, Y. Xie, B. Liu, M. A. Nearing |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 10 ; Nr. 19, no. 10 (2015-10-09), S.4113-4126 |
| Datensatznummer |
250120823
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| Publikation (Nr.) |
 copernicus.org/hess-19-4113-2015.pdf |
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| Zusammenfassung |
| Rainfall erosivity is the power of rainfall to cause soil erosion by water.
The rainfall erosivity index for a rainfall event (energy-intensity values – EI30) is calculated
from the total kinetic energy and maximum 30 min intensity of individual
events. However, these data are often unavailable in many areas of the world.
The purpose of this study was to develop models based on commonly available
rainfall data resolutions, such as daily or monthly totals, to calculate
rainfall erosivity. Eleven stations with 1 min temporal resolution
rainfall data collected from 1961 through 2000 in the eastern half of China
were used to develop and calibrate 21 models. Seven independent stations,
also with 1 min data, were utilized to validate those models, together
with 20 previously published equations. The models in this study performed
better or similar to models from previous research to estimate rainfall
erosivity for these data. Using symmetric mean absolute percentage errors and
Nash–Sutcliffe model efficiency coefficients, we can recommend 17 of the new
models that had model efficiencies ≥ 0.59. The best prediction
capabilities resulted from using the finest resolution rainfall data as
inputs at a given erosivity timescale and by summing results from equations
for finer erosivity timescales where possible. Results from this study
provide a number of options for developing erosivity maps using coarse
resolution rainfall data. |
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