温室气体和缺氧对水生物种数量的影响:分数数学模型。

IF 2.3 Q1 MATHEMATICS Advances in continuous and discrete models Pub Date : 2022-01-01 Epub Date: 2022-04-15 DOI:10.1186/s13662-022-03679-8
Pushpendra Kumar, V Govindaraj, Vedat Suat Erturk, Mohamed S Mohamed
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引用次数: 0

摘要

从现实世界的动力学角度来看,生态系统研究一直是一个有趣的课题。在本文中,我们提出了一个分数阶非线性数学模型,来描述温室气体导致的水质恶化对水生动物种群的影响。在该模型中,温室气体使水温升高,溶解氧水平下降,水生动物分解氧气的循环速率上升,从而导致水生物种密度下降。我们使用卡普托分数导数的广义形式来描述所提问题的动态。我们还研究了给定分数阶模型的平衡点,并讨论了所提自主模型平衡点的渐近稳定性。我们回顾了一些重要结果,以证明模型唯一解的存在。为了找到所建立的分数阶系统的数值解,我们应用了拟导数意义上的广义预测器-校正器技术,并证明了该方法的稳定性。为了表达模拟结果的新颖性,我们在各种分数阶情况下绘制了大量图形。该研究完全新颖,有助于理解所提出的现实世界现象。
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Effects of greenhouse gases and hypoxia on the population of aquatic species: a fractional mathematical model.

Study of ecosystems has always been an interesting topic in the view of real-world dynamics. In this paper, we propose a fractional-order nonlinear mathematical model to describe the prelude of deteriorating quality of water cause of greenhouse gases on the population of aquatic animals. In the proposed system, we recall that greenhouse gases raise the temperature of water, and because of this reason, the dissolved oxygen level goes down, and also the rate of circulation of disintegrated oxygen by the aquatic animals rises, which causes a decrement in the density of aquatic species. We use a generalized form of the Caputo fractional derivative to describe the dynamics of the proposed problem. We also investigate equilibrium points of the given fractional-order model and discuss the asymptotic stability of the equilibria of the proposed autonomous model. We recall some important results to prove the existence of a unique solution of the model. For finding the numerical solution of the established fractional-order system, we apply a generalized predictor-corrector technique in the sense of proposed derivative and also justify the stability of the method. To express the novelty of the simulated results, we perform a number of graphs at various fractional-order cases. The given study is fully novel and useful for understanding the proposed real-world phenomena.

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