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将低于检测限的观测值用于模型校准。

Use of observations below detection limit for model calibration.

作者信息

LeFrancois Michael, Poeter Eileen

机构信息

Norwest Applied Hydrology, Denver, CO 80246, USA.

出版信息

Ground Water. 2009 Mar-Apr;47(2):228-36. doi: 10.1111/j.1745-6584.2008.00515.x. Epub 2008 Nov 10.

Abstract

Censored (nondetect) values occur when chemical concentrations in water samples are near or below the level that can be measured by an analysis method. It is common to either delete or substitute values for nondetect observations for use in model calibration, but this practice can bias the estimated parameter values and the model predictions. A more realistic representation of the system is obtained from the calibration if we include such observations in a manner reflecting that we know only the value is below the detection limit. Consequently, we propose use of the censored-residual approach to including nondetect values as observations for calibration. In this approach, residuals are calculated as the detection limit minus the simulated value when the simulated value exceeds the detection limit, and the residual is assigned a value of zero when the simulated value is below the detection limit. The new censored-residual approach is particularly advantageous when calibrating transport models to low concentration data.

摘要

当水样中的化学物质浓度接近或低于分析方法可测量的水平时,就会出现截尾(未检出)值。在模型校准中,通常会删除或替换未检出观测值,但这种做法可能会使估计的参数值和模型预测产生偏差。如果我们以反映我们仅知道该值低于检测限的方式将此类观测值纳入校准,就能从校准中获得对系统更现实的表示。因此,我们建议使用截尾残差方法将未检出值作为校准观测值纳入。在这种方法中,当模拟值超过检测限时,残差计算为检测限减去模拟值;当模拟值低于检测限时,残差赋值为零。在校准输运模型以处理低浓度数据时,新的截尾残差方法特别有利。

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