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Titel |
Estimation of streamflow by slope regional dependency function |
VerfasserIn |
A. Altunkaynak |
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 ; 12, no. 4 ; Nr. 12, no. 4 (2008-08-25), S.1121-1127 |
Datensatznummer |
250010763
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Publikation (Nr.) |
copernicus.org/hess-12-1121-2008.pdf |
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Zusammenfassung |
Kriging is one of the most developed methodologies in the regional variable
modeling. However, one of its drawbacks is that the influence radius can not
be determined by this method. In which distance and in what ratio that pivot
station is influenced from adjacent sites is rather often encountered problem
in practical applications. Regional weighting functions obtained from
available data consist of several broken lines. Each line has different
slopes which represent the similarity and the contribution of adjacent
stations as a weighting coefficient. The approach in this study is called as
Slope Regional Dependency Function (SRDF). The main idea of this approach is
to express the variability in value differences γ and distances
together. Originally proposed SRDF and Trigonometric Point Cumulative
Semi-Variogram (TPCSV) methods are used to predict streamflow. TPCSV and
Point Cumulative Semi-Variogram (PCSV) approaches are also compared with each
other. Prediction performance of all the three methods revealed a relative
error less than 10% which is acceptable for most engineering applications.
It is shown that SRDF outperforms PCSV and TPCSV with very high differences.
It can be used for missing data completion, determination of measurement
sites location, calculation of influence radius, and determination of
regional variable potential. The proposed method is applied for the 38 stream
flow measurement sites located in the Mississippi River basin. |
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