Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01z603r116f
Title: A Deterministic Approach to Geochemical Stratigraphy
Authors: Murray, Joshua
Advisors: Schoene, Blair
Maloof, Adam
Department: Geosciences
Certificate Program: Applications of Computing Program
Class Year: 2018
Abstract: The scale and homogeneity of Large Igneous Provinces make them challenging to differentiate. The precision of modern geochemical analysis allows for the detection of heterogeneities within LIPS, but the act of deriving, classifying, and correlating geochemical stratigraphies remains qualitative and subject. In this study, I present three algorithms for the analysis of geochemical stratigraphies. stratify is an algorithm for dividing a geochemical section into units of comparable chemical similarity; stratClassify is a means for placing a series of samples into an existing, known stratigraphy; and stratMerge provides a means for comparing units between different stratigraphies and assessing the probability that they are equivalent. The potential of these algorithms is measured by their application to test cases in the Grande Ronde formation of the Columbia River Basalt and the Rajahmundry Traps. The algorithms stratify and stratClassify not only expose potential issues with the current stratigraphic definition of the Grande Ronde, but go so far as to provide a means for systematically deriving a stratigraphy in the area. stratMerge provides strong evidence that the Rajahmundry Traps are correlated with the Ambernali formation of the Deccan Traps, over 400 km away, a result which has consequences for volume estimates of the Deccan and methods of magma transport. These algorithms, having been tested briefly, are provided openly, with the intent they will be used and improved upon as geology embraces statistical rigour.
URI: http://arks.princeton.edu/ark:/88435/dsp01z603r116f
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Geosciences, 1929-2018

Files in This Item:
File Description SizeFormat 
MURRAY-JOSHUA-THESIS.pdf406.9 kBAdobe PDF    Request a copy


Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.