Technical Physics最新文献

Modeling of Throbbing Invasive and Epidemic Processes Based on Biophysical Adaptation Hybrid Structures 基于生物物理适应混合结构的侵袭和流行过程建模

IF 0.7 4区物理与天体物理

Technical Physics Pub Date : 2024-09-13 DOI: 10.1134/s1063784224700646

A. Yu. Perevaryukha

{"title":"Modeling of Throbbing Invasive and Epidemic Processes Based on Biophysical Adaptation Hybrid Structures","authors":"A. Yu. Perevaryukha","doi":"10.1134/s1063784224700646","DOIUrl":"https://doi.org/10.1134/s1063784224700646","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>We have developed a computational modeling method for analyzing staging biophysical processes with sharp transitions between dynamic regimes and analyze the observed important forms of aggressive invasive processes in models. These models take into account the existence of variants in the evolution of a crisis situation depending on physical and biotic factors. Hazardous invasions of foreign forms of life occur during a biophysical interaction with isolated systems. We model fast changing of stages and alteration of outbreaks and depressions of population waves. Hazardous rapid events investigated in this study appear upon the invasion of a new agent into the existing medium. Invasive processes also depend on the rate of active resistance exerted by the biota as well as on the physical medium factors and the climate. In special conditions, the effect of population outbreak of the spreading undesirable species. Apart from the climatic factor, the response of biotic environment is important. Aggressive invasions often occur as oscillating processes, but waves are transformed upon the adaptation of a foreign organism and the biotic medium. The series of activity peaks decay as a result of adaptation of the autochthonous biota to the invader. We have developed a method for constructing computational scenario models based on a logically extendable hybrid structure of equations. For modeling the evolution of the situation, we propose that the right-hand sides of equations be reconstructed in accordance with the evolution stages of antagonistic biophysical systems. The method for constructing hybrid structures takes into account the stages and delayed adaptation, which is manifested during the evolution and depression of an invasive outbreak. The developed hybrid models have made it possible to consider three actually observed variants of evolution and termination of the extremal phenonon of population outbreak of aggressive species. Invasive scenarios are classified and analyzed in the model from the dynamics of their evolution stages using as an example the situation of invasions in the Caspian Sea and in biocenoses of forest in North America, which often experience rapid defoliation. Small insects, which have many enemies in some special conditions, turn out to be capable of unbelievably fast reproduction; however, a certain time is required for restoring resources. The model scenarios describe series of peaks with decaying activity after the primary outbreak with a transition to a chaotic regime, when the situation of complete disappearance of a hazardous foreign organism from the medium is probable. In the model, two types of bifurcation of attractors are used, which makes it possible to estimate the factors responsible for repeated activity of an invasive population after the depression stage. Climatic factors alone can be insufficient for initiating an aggressive outbreak. Not only new vermin, ","PeriodicalId":783,"journal":{"name":"Technical Physics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142216407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}