Development оf combined method for predicting the process of the occurrence of emergencies of natural character

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.143045

Keywords:

emergency, generalized parameter, method of group consideration of arguments, method of verification of statistical hypotheses, regression analysis

Abstract

We developed a combined method for forecasting of the process of occurrence of emergency situations of a natural character. In contrast with other methods, it makes it possible to perform a complex forecasting of emergency situations, both in general and by types, taking into consideration trends of periodic changes in the process. We considered a number of emergencies for a certain period of time as a generalized parameter of the process. Taking into consideration an influence impact of all destabilizing factors, we should present the process in the form of an additive mixture of systematic, periodic, and random components. The systematic component is a polynomial of some degree. We performed detection and assessment of the periodic component based on the statistical criterion, which subordinates to the chi-square distribution. We used the method of group consideration of arguments to forecast the random component. We should carry out forecasting of emergency situations by type by the probabilistic-statistical method of forecasting.

The need to develop a combined forecasting method appears is due to that the existing methods for forecasting of emergency situations focus mainly on forecasting of certain types of emergency situations. Existing methods do not solve the problem of complex forecasting of emergency situations. We should also note that the presence of periodic components of an arbitrary form is characteristic for the process of occurrence of natural emergencies. Consideration of such components in the forecasting of emergency situations makes analysis of the processes of occurrence and development of emergency situations deeper.

In the process of experimental studies, we found that the use of the combined method makes it possible to perform forecasting of emergency situations at least a year ahead with a relative forecast error of no more than three percent.

The combined method combines the regression analysis method, the method of verification of statistical hypotheses and the method of group consideration of argument. This proves usefulness and expedience of the method. That makes it possible to compensate disadvantages of some methods using other methods, which would lead to the improvement of forecast accuracy

Author Biographies

Hryhorii Ivanets, National University of Civil Defence of Ukraine Chernyshevska str., 94, Kharkiv, Ukraine, 61023

PhD, Associate Professor

Department of pyrotechnic and special training

Stanislav Horielyshev, National Academy of National Guard of Ukraine Zakhysnykiv Ukrainy sq., 3, Kharkіv, Ukraine, 61001

PhD, Associate Professor

Research laboratory for the provision of Service and Military Activities of the National Guard of Ukraine

Scientific and Research Center of Service and Military Activities of the National Guard of Ukraine

Mykhailo Ivanets, Ivan Kozhedub Kharkiv University of Air Force Symska str., 77/79, Kharkiv, Ukraine, 61023

PhD

Scientific Center of Air Force

Dmitro Baulin, National Academy of National Guard of Ukraine Zakhysnykiv Ukrainy sq., 3, Kharkіv, Ukraine, 61001

PhD, Senior Researcher

Research laboratory for the provision of Service and Military Activities of the National Guard of Ukraine

Scientific and Research Center of Service and Military Activities of the National Guard of Ukraine

Igor Tolkunov, National University of Civil Defence of Ukraine Chernyshevska str., 94, Kharkiv, Ukraine, 61023

PhD, Associate Professor

Department of pyrotechnic and special training

Natalia Gleizer, Ukrainian State University of Railway Transport Feierbakha sq., 7, Kharkiv, Ukraine, 61050

PhD, Associate Professor

Department of Physics

Aleksandr Nakonechnyi, Ivan Kozhedub Kharkiv University of Air Force Symska str., 77/79, Kharkiv, Ukraine, 61023

PhD, Associate Professor

Department of armament of the Air Defense Forces of the Land Forces

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Published

2018-09-26

How to Cite

Ivanets, H., Horielyshev, S., Ivanets, M., Baulin, D., Tolkunov, I., Gleizer, N., & Nakonechnyi, A. (2018). Development оf combined method for predicting the process of the occurrence of emergencies of natural character. Eastern-European Journal of Enterprise Technologies, 5(10 (95), 48–55. https://doi.org/10.15587/1729-4061.2018.143045