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Seasonal and Annual Probabilistic Forecasting of Water Levels in Large Lakes (Case Study of the Ladoga Lake)

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Abstract:

The production functions of water-dependent sectors of the economy can include the water level in the lake as a natural resource. This characteristic must be able to reliably predict for the effective functioning of sectors of the economy. In the article the main attention is paid to the methods of forecasting based on the extrapolation of natural variations of the large lakes water level. As an example, is considered. In this paper, it is assumed that the level varies accordingly to a stochastic multi-cycle process with principal energy-containing zones in frequency bands associated with seasonal and multi-annual variations. Hence, the multi-year monthly and yearly averaged time series are represented by the ARIMA (auto-regression integrated moving average) processes. Forecasts are generated by using of the seasonal ARIMA-models, which take into account not only the seasonal but also the evolution non-stationarity. To compare the forecasts and the actual values, the relative errors are computed. It is shown that implementation of the models mainly allows receiving good and excellent forecasts. Subject Classification Numbers: UDC 556.555.2.06(4)

Info:

Periodical:
International Letters of Natural Sciences (Volume 82)
Pages:
13-19
Citation:
N. V. Myakisheva et al., "Seasonal and Annual Probabilistic Forecasting of Water Levels in Large Lakes (Case Study of the Ladoga Lake)", International Letters of Natural Sciences, Vol. 82, pp. 13-19, 2021
Online since:
April 2021
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References:

[1] V. Burlov, A. Grobitski, A. Grobitskaya, Construction management in terms of indicator of the successfully fulfilled production task, Magazine of Civil Engineering. 63(3) (2016) 77−91,.

DOI: https://doi.org/10.5862/mce.63.5

[2] V. Burlov, A. Andreev, F. Gomazov, Development of a model for the management of environmental safety of the region, taking into account of the GIS capacity (2018),.

[3] E. Shevnina and et al., Assessment of extreme flood events in a changing climate for a long-term planning of socio-economic infrastructure in the Russian Arctic, Hydrology and Earth System Sciences, 21(5) (2017) 2559–2578,.

DOI: https://doi.org/10.5194/hess-21-2559-2017

[4] A. Aksenov, A. Rybalko, M. Naumenko, Geomorphology of Lake Ladoga basin, Limnology and Freshwater Biology. 4 (2020) 492–494,.

[5] N. Filatov, L. Rukhovets, Ladoga Lake and Onego Lake (Lakes Ladozhskoye and Onezhskoye), Encyclopedia of Earth Sciences Series. 2012. 429–432.

DOI: https://doi.org/10.1007/978-1-4020-4410-6_197

[6] S. Karetnikov, M. Leppäranta, A. Montonen, A time series of over 100 years of ice seasons on Lake Ladoga, Journal of Great Lakes Research. 43(6) (2017) 979–988,.

DOI: https://doi.org/10.1016/j.jglr.2017.08.010

[7] Ladoga. Institute of Lakes Science RAS (2013), https://www.rgo.ru/sites/default/files/media/ 2013/08/ladoga.pdf.

[8] A.M. Doganovsky, N.V. Myakisheva, The water level of Lake Ladoga in different frequency ranges, University of Joensuu, Publications of Karelian Institute. 129 (2000) 374–377. (In Russian).

[9] A.M. Doganovsky, N.V. Myakisheva, Rejim napolneniya ozer raznykh klassov vodoobmena, VI Vsesojuzniy gidrologicheskiy sezd. Sektsiya 5 (2006) 137–140. (In Russian).

[10] Box and Jenkins, Time Series Analysis, Forecasting and Control (2013),.

[11] Guide to Hydrological Practice. Water resources management and practical application of hydrological methods, WMO. Volume II (2012), http://www.whycos.org/hwrp/guide/russian/ 168_Vol_II_ru.pdf.

[12] V.V. Kovalenko, E.V. Gaidukova, The phenomenon of nonzero norm of long-term changes in the total water supply in river basins, American journal of environmental sciences. 11(2) (2015) 76–80,.

DOI: https://doi.org/10.3844/ajessp.2015.76.80

[13] V.V. Kovalenko, E.V. Gaidukova, D.V. Chistyakov, A. Hamlili, Prognostic models of development of processes of catastrophic long-term annual river runoff formation, Russian Meteorology and Hydrology, 10 (2010) 695–699,.

DOI: https://doi.org/10.3103/s1068373910100079
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