Analysis and management of climate change incidents spread within the environment under coastal lives: Modeling and chaos control

IF 3.8 Q3 Mathematics
Results in Control and Optimization Pub Date : 2026-03-01 Epub Date: 2026-02-07 DOI:10.1016/j.rico.2026.100671
Aqeel Ahmad , Muhammad Raza , Hijaz Ahmad , Faheem Khan , Sadia Sattar , Dragan Pamucar , Vladimir Simic
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Abstract

Examining the model of climate change by analyzing how changes in climate-related incidents spread within the environment, particularly in coastal areas, as a result of predictions, is the main goal of this study. Following some measurements of impact rates for various variables, a mathematical model is developed using the hypothesis of a healthy environment to investigate the rates of climate change affecting coastal communities. In addition to studying the model equilibrium points, the next generation method is used to determine the models reproductive number to climate incidents spread within the environment. To determine the most sensitive factors and look at how changes in the pace of change under various conditions affect coastal life, a sensitivity analysis was created. Both qualitative and quantitative analyses are performed on a proposed model, with particular focus on existence, boundedness, positivity, and unique solutions, which are key characteristics of the developed model. At endemic sites, the model’s local stability is confirmed both theoretically and statistically. The Lyapunov derivative by endemic point of the model is used to investigate the worldwide stability of the model. Chaos control is also used to observe the chaotic behavior of the climate change. A two-step method, Lagrange polynomials, is applied in numerical simulations to investigate the effect of the fractional operator on the generalized form of the power law kernel for ongoing surveillance of climate change under coastal lives. The simulations show how different parameters affect the changes in climate incidents spread within the environment under coastal lives. Simulations have been developed to simulate the effects and behavior of climate change brought on by both natural and human activity, as well as to implement various environmental health initiatives. This type of research will be helpful in figuring out how climate change spreads and in developing future management plans for coastal lives, based on our verified results for various strategies.
沿海生物环境中气候变化事件的分析与管理:建模与混沌控制
通过分析气候相关事件的变化如何在环境中,特别是沿海地区,作为预测的结果,来检验气候变化模型,是本研究的主要目标。在对各种变量的影响率进行了一些测量之后,利用健康环境的假设建立了一个数学模型,以调查影响沿海社区的气候变化速度。在研究模型平衡点的基础上,采用下一代方法确定模型对环境中传播的气候事件的繁殖数。为了确定最敏感的因素,并研究在不同条件下变化速度的变化如何影响沿海生物,进行了敏感性分析。对提出的模型进行定性和定量分析,特别关注存在性,有界性,正性和唯一解,这是开发模型的关键特征。在流行点,模型的局部稳定性在理论和统计上都得到了证实。利用模型特有点的Lyapunov导数研究了模型的全局稳定性。混沌控制也用于观测气候变化的混沌行为。一种两步方法,拉格朗日多项式,应用于数值模拟,以研究分数算子对幂律核的广义形式的影响,以持续监测沿海生活下的气候变化。模拟显示了不同的参数如何影响气候事件在沿海生物环境中传播的变化。已经开发了模拟,以模拟自然活动和人类活动造成的气候变化的影响和行为,并实施各种环境卫生举措。基于我们对各种策略的验证结果,这种类型的研究将有助于弄清楚气候变化是如何传播的,并有助于制定未来的沿海生物管理计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Results in Control and Optimization
Results in Control and Optimization Mathematics-Control and Optimization
CiteScore
3.00
自引率
0.00%
发文量
51
审稿时长
91 days
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