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Testing the MOD-AGE chronologies of lake sediment sequences dated by the ~(210)Pb method

机译：用〜（210）Pb方法测试湖沉积物序列的MOD-AGE时间序列

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In this study, we tested the MOD-AGE procedure for non-parametric age-depth model computations for several lake sediment sequences dated by the ~(210)Pb method. MOD-AGE uses the randomization method(a type of Monte Carlo simulation) for age-depth model construction and confidence band estimation and the LOESS (locally weighted scatterplot smoothing) method for fitting of the age-depth function. To validate the constructed age-depth models, we used (1) sediments of known age and (2) an independent radiometric dating method (radiocarbon dating). All tests confirmed that the MOD-AGE algorithm is a suitable tool for the calculation of age-depth models for lake sediment sequences. We also tested the MOD-AGE procedure for calculations based on the results of two different dating methods. The tests indicated that an age-depth model based on both data sets, i.e., probability distributions of ~(210)Pb dates and radiocarbon dates, is more consistent than the age-depth models based only on one of the two data sets. The important advantage of MOD-AGE compared to other algorithms is that it models both age and depth value as well as their confidence bands while considering the uncertainties of these values.
机译：在这项研究中，我们测试了使用〜（210）Pb方法对几种湖泊沉积物序列进行非参数年龄-深度模型计算的MOD-AGE程序。 MOD-AGE使用随机方法（一种蒙特卡罗模拟方法）来建立年龄深度模型和置信带，并使用LOESS（局部加权散点图平滑）方法来拟合年龄深度函数。为了验证构造的年龄深度模型，我们使用了（1）已知年龄的沉积物和（2）独立的放射性测年法（放射性碳测年）。所有测试均证实，MOD-AGE算法是计算湖泊沉积物序列的年龄深度模型的合适工具。我们还根据两种不同的约会方法的结果测试了MOD-AGE程序的计算结果。测试表明，基于两个数据集的年龄深度模型（即〜（210）Pb日期和放射性碳日期的概率分布）比仅基于两个数据集之一的年龄深度模型更加一致。与其他算法相比，MOD-AGE的重要优势在于，它可以同时考虑年龄和深度值以及它们的置信带，同时考虑这些值的不确定性。

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