Saint-Petersburg university of State fire service of EMERCOM of Russia (department of fire extinguishing and emergency rescue operations, professor)
Russian Federation
Transport systems of the N.S. Solomenko institute of transport problems of the Russian academy of sciences (Laboratory of safety problems of transport systems, head of the laboratory)
Russian Federation
Russian Federation
Russian Federation
UDC 519.2
The article substantiates the relevance of processing statistical data on natural processes that lead to emergencies and negatively affect the environmental situation. Informationis provided on determining the consistency of samples of random variables of parameters of such processes according to known distribution laws using the Pearson and Kolmogorov criteria, as wellas the consistency of estimates and coefficients of variation, asymmetry and kurtosis of a sampleof random variables and the distribution law. It is shown that the β-distribution of the 1-st kind canbe accepted as a universal approximating law and analytical expressions can be derived to find its parameters. Using the examples of statistics on the average annual water consumption in the riverand the energy parameters of seismic events, analytical expressions are derived for the corresponding probability densities of β-distributions of the 1-st kind. The probabilities of the occurrence of negative events are estimated based on the thresholds of the average annual water consumption and the energy parameter of seismic events, respectively. The conclusion is made about the possibility of effective use of the β-distribution of the 1-st kind for the analysis of statistical data of a wide class of natural and man-made processes.
emergencies, statistical data, distribution laws
1. Obosnovanie metoda normirovaniya urovnya neftyanogo zagryazneniya pochv na territorii ob"ektov dobychi i transportirovki nefti v Arkticheskoj zone / A.A. Makosko [i dr.] // Arktika, ekologiya i ekonomika. 2024. T. 4. № 4. S. 585–595.
2. Ckhovrebov E.S. O podhodah k prognozirovaniyu chrezvychajnyh situacij s ekologicheskimi posledstviyami // Stolypinskij vestnik. 2024. № 1. S. 402–412.
3. Akimov V.A. Modelirovanie i prognozirovanie chrezvychajnyh situacij prirodnogoharaktera // HKHI vek. Tekhnosfernaya bezopasnost'. 2024. T. 9. № 1. S. 100–108.
4. Fomin A.I., Ovchinnikov A.V., Besperstov D.A. Analiz chrezvychajnyh situaciji ih posledstvij v Rossijskoj Federacii i za rubezhom // Vestnik NC VostNII. 2023. № 2. S. 73–80.
5. Sun' Esin'. Upravlenie chrezvychajnymi situaciyami i globalizaciya: vyzovy sovremennosti // Izvestiya Saratovskogo universiteta. Novaya seriya. Ser.: Sociologiya. Politologiya. 2023. T. 23. Vyp. 4. S. 474–481.
6. Kireeva T.V. K voprosu ob analize tekhnogennyh chrezvychajnyh situacij // Mezhdunarodnyj zhurnal gumanitarnyh i estestvennyh nauk. 2023. № 4-3 (79). S. 67–69.
7. Lopachuk O.N. Ekonomicheskaya ocenka ushcherba ot chrezvychajnyh situacij:opyt Respubliki Belarus' // Progressivnaya ekonomika. 2023. № 8. S. 21–36.
8. Statisticheskij analiz chrezvychajnyh situacij prirodnogo haraktera v mire i na territorii Rossijskoj Federacii / D.S. Korolev [i dr.] // Tekhnosfernaya bezopasnost'. 2023. № 3 (40). S. 130–138.
9. Ventcel' E.S. Teoriya veroyatnostej. 4-e izd. ster. M.: Izd-vo «T8 RUGRAM», 2022. 576 s.
10. Tarancev A.A. Sluchajnye velichiny i rabota s nimi. 2-e izd., pererab. i dop.SPb.: ID «Petropolis», 2011. 160 s.
11. Ivahnenko A.G. Dolgosrochnoe prognozirovanie i upravlenie slozhnymi sistemami.Kiev: «Tekhnika», 1975. 312 s.
12. Zav'yalov D.A. Srednesrochnyj prognoz zemletryasenij. Osnovy. Metodika. Realizaciya. M.: Nauka, 2006. 254 s.




