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| Titel |
Updating Rainfall Erosivity Map of the Mediterranean Region in Turkey by RUSLE-R and GIS |
| VerfasserIn |
P. Topcu, S. Deviren Saygın, G. Erpul, I. Bayramin |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250023604
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| Zusammenfassung |
| To understand and analyze rainfall variability is a need for evaluating the erosive
potential of rainfall in terms of space and time. In this study of revising rainfall
erosivity index by RUSLE-R equation and recent data set, we focus in particular on the
semi-arid areas of the Mediterranean Region, Turkey, where soil erosion is one of
the major threats to soil and water resources and where soil erosion is as acute as
or more severe than those in other Mediterranean countries. The primary data set
included electronically stored daily rainfall records of the Turkish State Meteorological
Service for the years from 1993 to 2004 at the 38 climate stations located in the
Mediterranean Region. After analyzing the time-depth records of each independent erosive
rainfall, RUSLE-R was calculated as the product of average rainfall energy and a
30-min maximum intensity of rainfall. Point RUSLE-R values as long-term averages
obtained for each climate station were interpolated using tri-variate functions of
longitude, latitude, and elevation to have a map. Summarily, by integrating Digital
Elevation Model (DEM) of the region and Geographic Information Systems (GIS),
the rainfall erosivity map of the Mediterranean Region in Turkey was updated.
Doubtlessly, this study would provide data not only for climate studies but also
opportunities for integration of climate data with properties of soil, topography
and land use to understand complicated hydrologic processes at watershed and
regional scales and would be effectively employed to take soil and water conservation
measures.
Key words: rainfall erosivity index, RUSLE prediction technology, soil erosion,
GIS.
Acknowledgement
Authors gratefully acknowledge “The Scientific and Technological Research
Council of Turkey”, TUBITAK, for support within project of CAYDAG-107Y155. |
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