海洋环境生化过程自适应模型中系统内关系的建模

IF 0.7 Q4 OCEANOGRAPHY Physical Oceanography Pub Date : 2020-02-01 DOI:10.22449/0233-7584-2020-1-88-102
I. Timchenko, E. M. Igumnova, S. V. Svishchev
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引用次数: 1

摘要

目的。海洋环境中生物化学过程的复杂性,在构建海洋生态系统数学模型时需要参数化它们之间的相互作用。研究的目的是通过应用生态系统稳态的概念和基于物质转化过程中生化反应的物质平衡的过程相互影响平衡的假设来简化这一问题的解决。方法与结果。为了简化生态系统模型,采用了作者目前正在开发的适应性原因平衡方法。该方法方程包含生态系统模型变量与其变化速度之间的负反馈。这些反馈稳定了方程的解,使模型适应了生态系统的外部影响。解收敛于稳态的概念允许提出一种简单的方法(基于它们的平均值之间的归一化关系)来估计过程相互影响的系数。为了验证这些方法,建立了塞瓦斯托波尔湾生态系统的自适应模型。利用多年来对海湾化学过程的观测数据来同化模型中硝酸盐和氨浓度的观测数据。通过将数据简化为模型变量对应的变率的维数和尺度,并将其包含到模型方程的右侧部分作为附加源和汇,对数据进行了吸收。利用塞瓦斯托波尔湾生态系统的积分模型进行的数值实验表明,应用其平均值之间的归一化关系作为过程相互影响的估计,可以在有限的观测数据基础上再现生态系统中所有过程的情景。研究了模型系数中常归一化因子和变归一化因子对外部效应的响应。结果表明,变量因素使模型对外界影响具有较高的灵敏度。结论。利用原因自适应平衡方法构建的海洋生态系统自适应模型具有快速收敛于稳态的特点。根据物质转化生化反应中物质平衡守恒的规律,自适应模型倾向于在系统外部和系统内部的影响中建立动态平衡。因此,所提出的估算海洋生态系统适应模型中系统内关系系数的方法允许重建那些仅知道其平均值的过程的情景。
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Modeling of Intra-System Relationships in the Adaptive Model of the Marine Environment Biochemical Processes
Purpose. Complexity of biochemical processes in marine environment entails the problem of parameterizing their interactions in constructing the marine ecosystem mathematical models. The aim of the investigation is to simplify solution of this problem by applying the concept of the ecosystem stationary state and the hypothesis on balance of the processes’ mutual influence based on the matter balances of biochemical reactions in substance transformations. Methods and Results. To simplify the ecosystem model, applied is the method of the adaptive balance of causes which now is being developed by the authors. The method equations contain negative feedbacks between the ecosystem model variables and the velocities of their change. These feedbacks stabilize the equations’ solutions and make the model adaptive to the external effects on the ecosystem. The concept of the solutions’ convergence to the stationary state permitted to propose a simple methods (based on the normalized relationships between their average values) for estimating the coefficients of the processes’ mutual influences. To test these methods, the adaptive model of the Sevastopol Bay ecosystem was constructed. The data of multi-year observations of the chemical processes in the bay were used for assimilating the observations of the nitrate and ammonia concentrations in the model. The data were assimilated both through their reducing to the dimension and scales of the variability corresponding to the model variable, and their including to the right parts of the model equations as the additional sources and sinks. The numerical experiments carried out using the integral model of the Sevastopol Bay ecosystem showed that application of the normalized relationships between their average values as the estimates of the processes’ mutual influences permitted to reproduce the scenarios of all the processes in the ecosystem based on the limited observational data. The model response to the external effects at the constant and varying normalizing factors in the model coefficients is studied. It shows that the variable factors provide the model with higher sensitivity to the external effects. Conclusions. The adaptive models of marine ecosystems constructed by the method of the adaptive balance of causes provide fast solutions’ convergence to the stationary state. According to the laws of the matter balances’ conservation in the biochemical reactions in substance transformations, the adaptive model tends to establishing dynamical balances in the external and intra-system influences. Therefore the proposed methods of estimating the intra-system relationships’ coefficients in the marine ecosystem adaptive model permit to reconstruct the scenarios of those processes in which only their average values are known.
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来源期刊
Physical Oceanography
Physical Oceanography OCEANOGRAPHY-
CiteScore
1.80
自引率
25.00%
发文量
8
审稿时长
24 weeks
期刊最新文献
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