Practical identifiability of ASM2d parameters -: systematic selection and tuning of parameter subsets
Practical identifiability of ASM2d parameters -: systematic selection and tuning of parameter subsets
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DOI：
10.1016/s0043-1354(02)00104-5
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发表时间：
2002-09-01
期刊：
影响因子：
12.8
通讯作者：
Reichert, P
中科院分区：
文献类型：
--
作者：
Brun, R;Kühni, M;Reichert, P
在许多应用中，活性污泥模型2d （ASM2d）的一些参数需要校准。由于ASM2d通常是相对于可用数据的过度参数化，校准参数的子集不是唯一的。在实践中，ASM2d（和其他asm）的校准通常是通过特别的选择和调整程序来解决的。在本文中。采用了一种基于参数子集参数可辨识性分析的更系统的方法。该方法包括初步的先验参数分析和随后的迭代参数子集选择和调整过程。前者包括选择合适的先验参数值和不确定性，以及从现有数据中合理估计的参数的预选。后者是基于三个诊断措施，这是简单的计算和易于解释。它演示了如何使用这些度量来识别最重要的模型参数并分析它们的相互依赖性。此外。说明了这些措施如何有助于分析固定参数值对参数估计的影响。(C) 2002 Elsevier Science Ltd.版权所有。
In many applications, some parameters of the Activated Sludge Model No. 2d (ASM2d) need calibration. Since ASM2d usually is overparameterized with respect to the available data, the subset of calibration parameters is not unique. In practice, calibration of ASM2d (and other ASMs) is often addressed by ad hoc selecting and tuning procedures. In this paper. a more systematic approach based on parameter identifiability analysis of parameter subsets is applied. The approach consists of a preliminary prior parameter analysis and a subsequent iterative parameter subset selection and tuning procedure. The former includes the choice of suitable prior parameter values and uncertainties and a pre-selection of parameters which are reasonably estimated from the data available. The latter is based on three diagnostic measures which are simple to calculate and easy to interpret. It is demonstrated as to how these measures can be used to identify the most important model parameters and to analyze their interdependencies. In addition. it is shown how these measures facilitate the analysis of the influence of fixed parameter values on parameter estimates. (C) 2002 Elsevier Science Ltd. All rights reserved.