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Identification of the parameters describing primary production from continuous oxygen signals

机译:从连续氧气信号中识别描述一次生产的参数

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The parameters of a simple dissolved oxygen (DO) model have been estimated on a day to day basis from continuous oxygen measurements. Oxygen was measured in a shallow ditch (0.38 m) dominated by bentic algae. The main objective was to study the identifiability of the parameters P-max and I-opt in the photosynthesis vs. irradiance (P/I) curve, in order to determine the seasonal variations of the parameters and to study relationships with environmental conditions. For this purpose joint parameter confidence regions, parameter correlation, and the eigenvalues of the Fisher information matrix have been determined. The results show that P-max can be estimated fairly well, whereas for I-opt the confidence regions are much larger. In particular for days in winter and spring extremely long elongated confidence regions can be found. However, it can be concluded that for a sufficient number of days, both parameters in the PII curve can be estimated sufficiently accurately to study seasonable variability and dependency with temperature and light conditions.
机译:简单的溶解氧(DO)模型的参数每天都通过连续的氧气测量来估算。在浅水沟(0.38 m)中以底栖藻类为主的氧气测量。主要目的是研究光合作用与辐照度(P / I)曲线中参数P-max和I-opt的可识别性,以确定参数的季节性变化并研究与环境条件的关系。为此,已经确定了联合参数置信区域,参数相关性和Fisher信息矩阵的特征值。结果表明,可以很好地估计P-max,而对于I-opt,置信区域要大得多。特别是在冬季和春季,可以找到非常长的细长置信区域。但是,可以得出结论,对于足够的天数,可以足够准确地估计PII曲线中的两个参数,以研究季节性变化和温度和光照条件的依赖性。

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