1887

Abstract

Summary

Data analysis of the current state and density of chalk strata forecast on the territory of the Rivne NPP industrial area are presented in the paper. The authors carry out the analysis of monitoring observations of changes of the chalk and loamy soils strata states that overlap it since 1984. In particular, the dynamics of the change in the state of the chalk in the № 62 well was analyzed. In addition, a forecast of chalk strata state’s change on industrial area was made until 2025 and the general trend of chalk strata state change in 25 wells was illustrated. For the forecast the autoregressive integrated moving average was used.

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/content/papers/10.3997/2214-4609.201701833
2017-05-15
2024-03-29
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References

  1. Vyzhva, S.A.
    [2004] Heofizychnyy monitorynh nebezpechnykh heolohichnykh protsesiv. Kyiv, VHL “Obriy”, 236.
    [Google Scholar]
  2. Vyzhva, S.A., Deineko, S.I., Demidov, V.K., Astashkina, O.A.
    [2010] Dynamic geologic-geophysical model of chalky layer and dispersible soils on territory of the RNPP site. Geoinformatics 2010 - 9th International Conference on Geoinformatics: Theoretical and Applied Aspects, art. no. A012.
    [Google Scholar]
  3. Vyzhva, S.A., Vyzhva, Z.O., Demydov, V.K.
    [2008] Tryvymirne statystychne modelyuvannya metodom randomizatsiyi v zadachakh monitorynhu heolohichnoho seredovyshcha. Geoinformatika, 2, 78–85.
    [Google Scholar]
  4. Vyzhva, Z.O., Vyzhva, S.A., Demidov, V.K.
    [2004] The statistical simulation of karst suffosion processes on territiry potentially dangerous objects. Geoinformatica, 2, 78–85.
    [Google Scholar]
  5. Robert, Nau
    The mathematical structure of ARIMA models. Fuqua School of Business, Duke University. http://people.duke.edu/∼rnau/Mathematical_structure_of_ARIMA_models--Robert_Nau.pdf
    [Google Scholar]
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