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Simulating a non-Gaussian vector process with application in hydrology
An algorithm is proposed for simulating a hydrological random process for the case of a vector, whose components are runoff values for the Khoper R. in three high-water months and the Volga R. in February, April, and the average over April, May, and June. The simulation is shown to have a high accur...
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Published in: | Water resources 2014-11, Vol.41 (6), p.621-626 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | An algorithm is proposed for simulating a hydrological random process for the case of a vector, whose components are runoff values for the Khoper R. in three high-water months and the Volga R. in February, April, and the average over April, May, and June. The simulation is shown to have a high accuracy: the expectations and the coefficients of variation exactly coincide with specified values; the skewness has an accuracy of 0.1; the deviation of the coefficients of autocorrelation and cross-correlation of vector components from the specified values never exceeds 0.05. |
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ISSN: | 0097-8078 1608-344X |
DOI: | 10.1134/S0097807814060086 |