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Abstrakty
Investigating the regime of groundwater levels is one of the main stages of hydrogeological research, which allows quantitative characterization of the process of formation and change of hydrogeological conditions in time. To date, there has been a problem in filling the series of groundwater levels (GWLs) that have gaps. During the formation of time series of data, there are usually gaps in connection with the change in the technique of observing the GWL, the untimely filling of data rows, the lack of the ability to conduct such observations, and others like that. However, it is not possible to completely exclude rows with spaces, as this may lead to inaccurate data while developing forecast and constructing predictive maps of groundwater levels. Therefore, the task is to compare the existing methods of filling the data series with spaces in order to choose the optimum for further work, with their practical verification.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
141--151
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
autor
- Ivano-Frankivsk National Technical University of Oil and Gas, Ukraine
autor
- Ivano-Frankivsk National Technical University of Oil and Gas, Ukraine
Bibliografia
- 1. Bidyuk P.I., Korshevnyuk L.O. 2014. Models and methods of applied statistics. National Technical University of Ukraine “Kyiv Polytechnic”, pp. 722.
- 2. Bilinska, Y., Tymkiv, M. 2016. GIS modeling of the groundwater levels to the intensive flooded areas (on the example of the Zhytomyr Region). Geoinformatics 2016 – XVth International Conference on Geoinformatics – Theoretical and Applied Aspects.
- 3. Davybida L.I., Kuzmenko E.D. 2011. Egularities of subsurface waters’ levels dynamics and factors of its forming in the dnipropetrovsk regions’ territory. Geodynamics, 1(10), 83–93.
- 4. Dempster A.P., Laird N.M., Rubin D. B.. 1977. Like lihood from Incomplete Dataviathe EM Algorithm. Journal of the Royal Statistical Society. Series B (Methodological). No. 1, 1–38.
- 5. Kasianchuk, D., Kuzmenko E., Chepurna, T. and Chepurnyi, I. 2016. Calculation of that environmental and geological landslide risk estimate. Eastern-European Journal of Enterprise Technologies. Vol. 1, No. 10(79), 18–25.
- 6. Kuznietsova N. 2016. Identification and processing of uncertainties in the form of incomplete data by methods of intellectual analysis. System Research & Information Technologies, No. 2, 104–115.
- 7. Kovalevsky V.S. 1983. Long-term variability of groundwater resources. Moscow, Nauka, pp. 205.
- 8. Konoplyantsev A.A., Semenov S.M. 1963.The natural regime of groundwaters and its regularities. Gosgeoltekhizdat, рp. 231.
- 9. Little J., Rubin L. 1990. Statistical analysis of data with spaces. Moscow: Finances and Statistics, 336 p. Ill . (Mathematical-statistical methods abroad).
- 10. Pona, O., Shtogryn, L., Kasianchuk, D. 2016. The analysis of the relationship between the phases of the Moon and the occurrence of landslides. Geoinformatics 2016 – XVth International Conference on Geoinformatics – Theoretical and Applied Aspects.
- 11. Ruban S.A., Nikolishina A.V, Zhukova V.I, Mukhtarova M.B. et al. 2000. Information support for hydrogeological estimations and forecasts of the regime of groundwater of Ukraine. (Book 1). Dnipropetrovsk, 29–36
- 12. Ruban S.A., Shinkarevsky M.A.2005. Hydrogeological estimates and forecasts of the underground water regime in Ukraine: Monograph. Scientific proceedings of UkrSGRI, pp. 572.
- 13. Rossiev A.A., Gorbaniya A.N. 1998. Modeling data with the help of screens for restoring data flows. In the book “Methods of neuroinformaticsmats”, KSTU: Krasnoyarsk, 6–22
- 14. Snityuk V.E. 2006. Evolutionary method for data retrieval. Collected Works of the VI International Conference “Intellectual Analysis of Information”, 262–271.
- 15. Tymkiv М., Kasiyanchuk D., Danyliak V., Levitska M. 2018. Study of the series of data of groundwater levels with passes. Geoinformatics 2018 – XVIIth International Conference on Geoinformatics – Theoretical and Applied Aspects.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-69542246-c7b3-4f9c-9d41-f2f4c21fd38e