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首页> 外文期刊>Ecological Modelling >A model development approach to ensure identifiability of a simple mass balance model for photosynthesis and respiration in a plant growth chamber
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A model development approach to ensure identifiability of a simple mass balance model for photosynthesis and respiration in a plant growth chamber

机译：一种模型开发方法，以确保植物生长室光合作用和呼吸简单质量平衡模型的可识别性

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A model development approach, which aims to build sufficiently simple models so as to ensure parameter identifiability, is presented and used to develop a dynamic mass balance model of photosynthesis and respiration reactions. The model was developed for the control of a highly automated plant growth chamber within the context of the MELiSSA project, a European Space Agency program which aims to develop technology for a future regenerative life support system. Simple, identifiable models are required for this application and are also valuable for other prediction and control applications, which could include the operation of greenhouses or other controlled environment agricultural systems in the future. Experiments were conducted on lettuce (Lactuca sativa cv. Lively) and red beet (Beta vulgaris cv. Detroit Medium Red) in sealed environment plant growth chambers. Environmental variables (including CO _2 uptake data) were recorded throughout growth, while biomass and leaf area measurements were taken before transfer to the chamber and at harvest. The model development approach was iterative, with assessments of model reliability throughout. Major metabolic reactions with respect to plant growth were first selected and corresponding mass balance equations were written, taking structural identifiability into account. The kinetic model was selected, from several potential rate laws, based on an analysis of the fit of the model (on identification and independent validation datasets) and the reliability of the parameter estimates (practical identifiability). The application of this systematic model development approach yielded a very simple model of plant growth in which all parameters were identifiable based on the available experimental data (a unique value could be identified for each). The approach could be applied to many other crop modelling problems to obtain simple, identifiable and reliable models.
机译：一种模型开发方法，旨在构建充分简单的模型，以确保参数可识别性，并用于开发光合作用和呼吸反应的动态质量平衡模型。该模型是为了在欧洲航天局计划的背景下控制高度自动化的植物增长室，该计划旨在为未来的再生生活支持系统开发技术。本申请需要简单，可识别的型号，对其他预测和控制应用也是有价值的，这可能包括未来温室或其他受控环境农业系统的运作。在莴苣（Lactuca Sativa CV.Revelly）和红甜菜（β寻常CV.Detroit Medium Red）进行实验。在整个生长中记录环境变量（包括CO _2摄取数据），而生物质和叶面积测量以在转移到腔室并收获之前进行。模型开发方法是迭代的，在整个模型可靠性评估。首先选择关于植物生长的主要代谢反应，并写入相应的质量平衡方程，考虑到结构性可识别性。根据模型（在识别和独立验证数据集）的拟合分析以及参数估计的可靠性（实际可识别性）的分析，从几个潜在的速率法选择了动力学模型。这种系统模型开发方法的应用产生了一个非常简单的植物生长模型，其中所有参数都是根据可用的实验数据识别的（可以为每个值识别出独特的值）。该方法可以应用于许多其他作物建模问题，以获得简单，可识别和可靠的模型。

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