Maximum depositional age estimation revisited
Maximum depositional age estimation revisited
复制标题
重新审视最大沉积年龄估计
DOI:
10.1016/j.gsf.2020.08.008
复制
发表时间:
2021
影响因子:
8.9
通讯作者:
Vermeesch P
中科院分区:
文献类型:
--
作者:
Vermeesch P
In a recent review published in this journal, Coutts et al. (2019) compared nine different ways to estimate the maximum depositional age (MDA) of siliclastic rocks by means of detrital geochronology. Their results show that among these methods three are positively and six negatively biased. This paper investigates the cause of these biases and proposes a solution to it. A simple toy example shows that it is theoretically impossible for the reviewed methods to find the correct depositional age in even a best case scenario: the MDA estimates drift to ever smaller values with increasing sample size. The issue can be solved using a maximum likelihood model that was originally developed for fission track thermochronology by Galbraith and Laslett (1993). This approach parameterises the MDA estimation problem with a binary mixture of discrete and continuous distributions. The ‘Maximum Likelihood Age’ (MLA) algorithm converges to a unique MDA value, unlike the ad hoc methods reviewed by Coutts et al. (2019). It successfully recovers the depositional age for the toy example, and produces sensible results for realistic distributions. This is illustrated with an application to a published dataset of 13 sandstone samples that were analysed by both LA-ICPMS and CA-TIMS U–Pb geochronology. The ad hoc algorithms produce unrealistic MDA estimates that are systematically younger for the LA-ICPMS data than for the CA-TIMS data. The MLA algorithm does not suffer from this negative bias. The MLA method is a purely statistical approach to MDA estimation. Like the ad hoc methods, it does not readily accommodate geological complications such as post-depositional Pb-loss, or analytical issues causing erroneously young outliers. The best approach in such complex cases is to re-analyse the youngest grains using more accurate dating techniques. The results of the MLA method are best visualised on radial plots. Both the model and the plots have applications outside detrital geochronology, for example to determine volcanic eruption ages.
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DOI:
--
发表时间:
1979
期刊:
影响因子:
--
作者:
D. Titterington;Alex N. Halliday
通讯作者:
Alex N. Halliday
影响因子:
12.1
作者:
P. Vermeesch
通讯作者:
P. Vermeesch
DOI:
--
发表时间:
2016
期刊:
Science China. Earth Sciences
影响因子:
--
作者:
Jeffrey B. Ross;G. Ludvigson;A. Möller;L. González;J. Walker
通讯作者:
J. Walker
影响因子:
5.3
作者:
Barbeau, David L., Jr.;Olivero, Eduardo B.;Gehrels, George E.
通讯作者:
Gehrels, George E.