Powered by OpenAIRE graph
Found an issue? Give us feedback

Моделирование процессов возникновения развития катастроф на нефтеналивных терминалах

Моделирование процессов возникновения развития катастроф на нефтеналивных терминалах

Abstract

В статье приводится моделирование процессов при неблагоприятных метеоусловиях, которые способны вызвать техногенные катастрофы на нефтеналивных терминалах. В ходе эксперимента были исследованы четыре фактора. Математическая модель представлена уравнением регрессии и проверена критерием Фишера.This article is a simulation of the processes under adverse weather conditions that can cause man-made disasters to oil terminals. In the course of the experiment four factors were examined. A mathematical model is represented by the regression equation and tested by Fisher criterion.

Keywords

МОДЕЛИРОВАНИЕ, НЕБЛАГОПРИЯТНЫЕ МЕТЕОУСЛОВИЯ, ПРИРОДНЫЕ КАТАСТРОФЫ, НЕФТЕНАЛИВНЫЕ ТЕРМИНАЛЫ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average