Decoupled algorithms and analyses for an advection-reaction-diffusion model with stocking and harvesting

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Mayesha Sharmim Tisha , Md. Kamrujjaman , Muhammad Mohebujjaman , Taufiquar Khan
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引用次数: 0

Abstract

We propose a time-dependent Advection Reaction Diffusion (ARD) N-species competition model to investigate the Stocking and Harvesting (SH) effect on population dynamics. For ongoing analysis, we explore the outcomes of a single species and competition between two competing species in a heterogeneous environment under no-flux boundary conditions, meaning no individual can cross the boundaries. We establish results concerning the existence, uniqueness, and positivity of the solutions. As a continuation, we propose, analyze, and test two novel fully discrete decoupled linearized algorithms for a nonlinearly coupled ARD N-species competition model with SH effort. The time-stepping algorithms are first and second order accurate in time and optimally accurate in space. Stability and optimal convergence theorems of the decoupled schemes are proved rigorously. We verify the predicted convergence rates of our analysis and the efficacy of the algorithms using numerical experiments and synthetic data for analytical test problems. We also study the effect of harvesting or stocking and diffusion parameters on the evolution of species population density numerically and observe the coexistence scenario subject to optimal stocking or harvesting.
具有放养和收获的平流-反应-扩散模型的解耦算法与分析
本文提出了一个随时间变化的平流反应扩散(ARD) n种竞争模型,研究放养和收获(SH)对种群动态的影响。为了进一步分析,我们探讨了在非通量边界条件下,单一物种和两个竞争物种在异质环境中竞争的结果,这意味着没有个体可以跨越边界。我们建立了关于解的存在唯一性和正性的结果。作为延续,我们提出、分析和测试了两种新颖的完全离散解耦线性化算法,用于具有SH努力的非线性耦合ARD n物种竞争模型。时间步进算法在时间上具有一阶和二阶精度,在空间上具有最优精度。严格地证明了解耦格式的稳定性和最优收敛定理。我们用数值实验和分析测试问题的合成数据验证了我们分析的预测收敛率和算法的有效性。通过数值模拟研究了放养和扩散参数对种群密度演化的影响,并观察了最佳放养和放养条件下的共存情景。
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
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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