Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/4853
Title: 67-The Methodology of Long Range Forecasting of Levels of Large Lakes.
Authors: Babkin, Alexey V.
Keywords: Statistical analysis
Issue Date: 2009
Publisher: Allied Publishers Pvt. Limited, New Delhi
Abstract: The methodology of revealing of periodicities in time series of the lake level and water balance components is elaborated. It combines the development of the original physically based model of oscillations of mutually related lake characteristics and approximation of lake level and water balance components by sine functions using the method of least squares. The periodicities were revealed respectively for the level of the Caspian Sea and the Ladoga Lake. The respective sums of the periodicities show a high correlation with the considered time series and were applied for their long range forecast estimations. The validation of the forecast results by the new independent data shows that the forecasted and real values of the level of the Caspian Sea and the Ladoga Lake are in a good accordance.
URI: http://117.252.14.250:8080/jspui/handle/123456789/4853
Appears in Collections:Proceedings of the International Conference on Water, Environment, Energy and Society (WEES-2009), 12-16 January 2009 at New Delhi, India, Vol.-2

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