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| Titel |
Top-kriging - geostatistics on stream networks |
| VerfasserIn |
J. O. Skøien, R. Merz, G. Blöschl |
| 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 ; 10, no. 2 ; Nr. 10, no. 2 (2006-04-26), S.277-287 |
| Datensatznummer |
250007987
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| Publikation (Nr.) |
 copernicus.org/hess-10-277-2006.pdf |
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| Zusammenfassung |
| We present Top-kriging, or topological kriging, as a method for
estimating streamflow-related variables in ungauged catchments. It
takes both the area and the nested nature of catchments into
account. The main appeal of the method is that it is a best linear
unbiased estimator (BLUE) adapted for the case of stream networks
without any additional assumptions. The concept is built on the work
of Sauquet et al. (2000) and extends it in a number of ways. We test
the method for the case of the specific 100-year flood for two
Austrian regions. The method provides more plausible and, indeed,
more accurate estimates than Ordinary Kriging. For the variable of
interest, Top-kriging also provides estimates of the uncertainty. On
the main stream the estimated uncertainties are smallest and they
gradually increase as one moves towards the headwaters. The method
as presented here is able to exploit the information contained in
short records by accounting for the uncertainty of each gauge. We
suggest that Top-kriging can be used for spatially interpolating a
range of streamflow-related variables including mean annual
discharge, flood characteristics, low flow characteristics,
concentrations, turbidity and stream temperature. |
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