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博海海复杂系统的整体演变:互动驱动器的洞察力

Han Huang¹, Tao Zou², Teng Liu³

¹School of Systems Science and Institute of Nonequilibrium Systems, Beijing Normal University, Beijing, 100875, People's Republic of China.

Marine environmental research

|February 17, 2026

概括

一个新的Eigen微状态理论 (EMT) 框架揭示了人类活动是沿海优化的主要驱动因素,气候变化调节了其影响. 这种方法有助于评估复杂的沿海系统的环境政策.

科学领域:

海洋科学海洋科学
环境科学环境科学
复杂系统分析复杂系统分析

背景情况:

沿海系统在物理,化学和人为因素之间表现出复杂的相互作用.
在这些多变量和动态环境中诊断系统层面的转变是具有挑战性的.
了解这些动态对于有效的环境管理和政策至关重要.

研究的目的:

介绍一个新的框架,Eigen微状态理论 (EMT),以分析多变量沿海系统动态.
量化系统障碍,并使用变量相互作用中的新兴模式识别状态过渡.
将变化驱动因素归因于人为与气候影响,并评估政策有效性.

主要方法:

应用 Eigen 微态理论 (EMT) 到波海复杂系统.
使用自身微态的来量化系统障碍.
确定了反映可变合和主导驱动因素的新兴自身微态.

主要成果:

人类活动被确定为博海海域缩的主要长期驱动因素.
发现自然变异性调节了肥胖的强度和时间.
揭示了最近的监管干预措施的有效性受到与气候相关的营养物质运输的同时限制.

结论:

EMT框架成功地解开了复杂的沿海系统中重叠的驱动因素的影响.
强调需要协调管理战略,解决人类和自然对沿海变化的贡献.
为了解和管理全球变化的沿海系统提供可转移的工具,支持联合国可持续发展目标14.1.1.

关键词:

博海海上复杂系统沿海地区沿海地区自己的微观状态理论.Entropy Entropy 欧洲化是什么意思?有害的藻类繁殖.

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