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Optimal harvesting strategy of a stochastic inshore-offshore hairtail fishery model driven by Levy jumps in a polluted environment

机译:征收环境中征收跳跃驱动的随机近海发廊渔业模型的最佳收集策略

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摘要

With the increasing demand for aquatic products all over the world, exploring the interactions between inshore and offshore fisheries is one of the meaningful issues to help boost yield and meet immediate protein needs. However, pollution and environmental fluctuations (fishery trading market, ocean meteorological factors) may seriously affect the optimal harvesting strategy of the interaction between inshore and offshore components of the fishery. In response to this problem, we present a stochastic inshore-offshore fishery model in a polluted environment, which incorporates harvesting efforts subjected to Levy jumps and environmental toxicant influence. By virtue of the ergodic methods, the optimal harvesting effort and maximum expectation of sustainable yields are established. Using the hairtail fisheries in the East China Sea as a case study, numerical simulations are carried out to support the theoretical results. These results show that the diffusion between inshore and offshore fisheries, Levy jumps noise and environmental toxicant input may significantly affect the optimal harvesting strategy, which can provide suggestions for effective measures to increase the aquatic products and guide harmonious development of inshore and offshore aquaculture.
机译:随着世界各地的水产品需求日益增长,探索近海和近海渔业之间的互动是有助于提高产量并满足立即蛋白质需求的有意义问题之一。然而,污染和环境波动(渔业交易市场,海洋气象因素)可能会严重影响渔业近海和海上部件之间相互作用的最佳收获策略。在响应这个问题,我们在污染环境中提出了一个随机的近海渔业模型,该模型包括收获努力征收溢出和环境毒害影响。凭借遍历方法,建立了最佳收获努力和可持续收益率的最大期望。以东海的发型渔业为例,以案例研究,进行了数值模拟,以支持理论结果。这些结果表明,近海和海上渔业之间的扩散,征收跳跃噪声和环境毒品投入可能会显着影响最佳收获策略,这可以为增加水产品和近海水产养殖和谐发展的有效措施提供建议。

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