AbstractSystem-level analyses for Advanced Life Support require mathematical models for various processes, such as for biomass production and waste management, which would ideally be integrated into overall system models. Explanatory models (also referred to as mechanistic or process models) would provide the basis for a more robust system model, as these would be based on an understanding of specific processes. However, implementing such models at the system level may not always be practicable because of their complexity. For the area of biomass production, explanatory models were used to generate parameters and multivariable polynomial equations for basic models that are suitable for estimating the direction and magnitude of daily changes in canopy gas-exchange, harvest index, and production scheduling for both nominal and off-nominal growing conditions.


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    Titel :

    Using explanatory crop models to develop simple tools for Advanced Life Support system studies


    Beteiligte:
    Cavazzoni, J. (Autor:in)

    Erschienen in:

    Advances in Space Research ; 34 , 7 ; 1528-1538


    Erscheinungsdatum :

    2003-02-11


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Using Explanatory Crop Models to Develop Simple Tools for Advanced Life Support System Studies

    Cavazzoni, J. / International Council for Science | British Library Conference Proceedings | 2004


    Top-Level Crop Models for Advanced Life Support Analysis

    Jones, Harry / Cavazzoni, James | SAE Technical Papers | 2000


    Physiological Aspects of Integrated Crop Production in Advanced Life Support Systems

    Cloutier, Geoffrey R. / Arnold, Karin E. / Dixon, Michael A. et al. | SAE Technical Papers | 1998


    Nonlinear Dynamic Models in Advanced Life Support

    Jones, Harry | SAE Technical Papers | 2002