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Robust Nonfitting Way To Determine Mass Diffusivity and Initial Concentration for VOCs in Building Materials with Accuracy Estimation

机译:确定精度的鲁棒非拟合方法来确定建筑材料中VOC的质量扩散率和初始浓度

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摘要

This paper presents a novel procedure for estimating mass diffusivity and initial concentration for VOCs in building materials. In contrast to methods that fit data to an organic emission model, this new method determines these two parameters by two observations from a chamber test in a nonfitting and sequential way, which defines a well-posed problem and requires no iterative procedure as well as is robust to initial guess and random uncertainties. The most outstanding feature of this method is that multiple estimates of the parameters can be obtained when more than two experimental data are available; thus, these estimates constitute a sample of population of parameter estimates involving experimental errors. The averages of the sample can be regarded the best estimates of the parameters, and, more importantly, variances (standard deviations) and conhdence intervals can be readily and naturally estimated making no assumption about the distribution of experimental errors. Two easy and direct ways are suggested for determining confidence limits: one is percentile method, and the other is the normal approximation. This feature highlights the major difference between the new method and common curve-fitting procedures that generally assume random errors being Gaussian distribution.
机译:本文提出了一种新的方法来估算建筑材料中VOC的质量扩散率和初始浓度。与将数据拟合到有机排放模型的方法相比,该新方法通过以非拟合和顺序的方式通过对箱试验的两次观测来确定这两个参数,这定义了一个适度的问题,并且不需要迭代过程对初始猜测和随机不确定性具有鲁棒性。该方法最突出的特点是,当可以获得两个以上的实验数据时,可以获得参数的多个估计值。因此,这些估计值构成了包含实验误差的参数估计值的样本。可以将样本的平均值视为参数的最佳估计值,更重要的是,无需假设实验误差的分布即可轻松自然地估计出方差(标准差)和置信区间。建议使用两种简单而直接的方法来确定置信极限:一种是百分位数方法,另一种是正态近似。此功能突出了新方法与通常假定随机误差为高斯分布的普通曲线拟合程序之间的主要区别。

著录项

  • 来源
    《Environmental Science & Technology》 |2013年第16期|9086-9092|共7页
  • 作者

    Min Li;

  • 作者单位

    School of Energy Science and Engineering, Central South University, Changsha 410083, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 14:02:11

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