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Uncertainty evaluations on the measurement of 'carbon' in the research on karst carbon sink effect - A case for dissolved inorganic carbon

机译:岩溶碳汇效应研究中“碳”测量的不确定性评估 - 一种溶解无机碳的情况

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In order to set up an evaluation method for the uncertainty in determining dissolved inorganic carbon (DIC) in karst river basin by Non-dispersive Infrared (NDIR) absorption detection technique, the continuous propagation model of uncertainty is used to evaluating the uncertainties from DIC measurement in two typical karst groundwater samples. The main steps are as follows: to fit the calibration curve by means of double-error regression firstly; and then to quantify each uncertainty component in the evaluation process; lastly to obtain the synthetic uncertainty model for DIC determination results. Calculations through experimental results show that: (1) the main sources of measurement uncertainty derive from the sub-uncertainties of calibration solutions, calibration curve fitting and measurements process; (2) the lower the DIC content in groundwater samples, the greater the relative uncertainty of measurement results, and the sub-uncertainty from the fitting of calibration curve gives one major contribution to the total uncertainty.
机译:为了通过非分散红外线(NDIR)吸收检测技术确定在岩溶河流域中测定溶解无机碳(DIC)的不确定度的评估方法,使用不确定度的连续传播模型来评估DIC测量的不确定性在两个典型的岩石地下水样本中。主要步骤如下:首先通过双重错误回归拟合校准曲线;然后在评估过程中量化每个不确定性组件;最后获得DIC确定结果的合成不确定性模型。通过实验结果的计算表明:(1)测量不确定性的主要来源来自校准解决方案的子不确定性,校准曲线配件和测量过程; (2)地下水样本中的DIC含量越低,测量结果的相对不确定度越大,校准曲线拟合的子不确定性为总不确定性提供了一个主要贡献。

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