Maevsky Oleksandr, Kovalchuk Maya, Brodsky Yuri, Stanytsina Valentyna, Artemchuk Volodymyr
Zhytomyr Polytechnic State University, Zhytomyr, Ukraine.
Polissia National University, Zhytomyr, Ukraine.
Heliyon. 2024 Apr 30;10(9):e30549. doi: 10.1016/j.heliyon.2024.e30549. eCollection 2024 May 15.
This research introduces an innovative framework for addressing the escalating issue of greenhouse gas emissions through the integration of game theory with differential equations, proposing a novel model to simulate the regulatory dynamics between emission sources and legislative actions. By blending advanced mathematical modeling with environmental science, this paper underscores the critical necessity for pioneering, proactive strategies in environmental management and policy formulation. Central to our approach is the simulation of interactions within a game-theoretic context, aiming to delineate optimal strategies for emission sources and regulatory bodies, factoring in legislative constraints and environmental ramifications. The methodology employs a system of ordinary differential equations, capturing the dynamic, non-stationary nature of atmospheric processes and offering a realistic portrayal of the challenges in mitigating greenhouse gas emissions. Furthermore, the study introduces a fee-based regulatory mechanism designed to encourage emission reductions, highlighting the economic implications of such strategies. Significantly contributing to environmental management, this research presents a detailed model capable of predicting the trajectory of greenhouse gas emissions over a decade, considering the potential impact of technological innovations in emission control. The conclusion emphasizes the promising role of artificial intelligence in refining environmental governance, acknowledging the complexities and limitations inherent in predictive modeling. Aimed at policymakers and environmental scientists, this paper serves as a strategic tool for informed decision-making, advocating for a multidisciplinary approach to develop sustainable, effective solutions to combat one of the most critical environmental challenges facing the globe today.
本研究引入了一个创新框架，通过将博弈论与微分方程相结合来解决日益严重的温室气体排放问题，提出了一种新颖的模型来模拟排放源与立法行动之间的监管动态。通过将先进的数学建模与环境科学相结合，本文强调了在环境管理和政策制定中采用开创性、积极主动策略的迫切必要性。我们方法的核心是在博弈论背景下模拟相互作用，旨在为排放源和监管机构勾勒出最优策略，同时考虑立法限制和环境影响。该方法采用常微分方程组，捕捉大气过程的动态、非平稳性质，并对缓解温室气体排放中的挑战进行了现实描绘。此外，该研究引入了一种基于费用的监管机制，旨在鼓励减排，突出了此类策略的经济影响。这项研究对环境管理做出了重大贡献，提出了一个详细模型，能够预测十年内温室气体排放的轨迹，同时考虑排放控制技术创新的潜在影响。结论强调了人工智能在完善环境治理方面的积极作用，同时也认识到预测建模中固有的复杂性和局限性。本文面向政策制定者和环境科学家，是一个用于明智决策的战略工具，倡导采用多学科方法来制定可持续、有效的解决方案，以应对当今全球面临的最关键环境挑战之一。
