<p dir="ltr">To better predict volcanic behavior, we must understand the processes that occur in the underlying magma reservoirs. This thesis contains three chapters that work together to better understand processes that occur in sub-volcanic reservoirs. Chapter 2 is a study of an ancient, coupled volcanic-plutonic system to determine the link between the volcanic and plutonic parts of the system. The IXL-Job Canyon magmatic system is an ~28-29 Ma system, which shows a rapid transition between eruption of tuffs and lava flows to construction of an upper-crustal pluton, via incremental emplacement. The system experienced an eruptive hiatus during and after pluton construction, until the eruption of a newly identified, younger, rhyolitic tuff. This work suggests that the absence of volcanic activity at the surface does not mean that the underlying magmatic plumbing system is also inactive. Chapter 3 compiles existing U-Pb zircon ID-TIMS data for upper-crustal, silicic magmatic systems, to determine the size and frequency of magmatic increments that accumulate to build up these systems. A Monte Carlo-based model is used to investigate the underlying distributions of the increment size and time between increments, and results in sizes and inter-event times that follow an exponential distribution. This work helps guide how we can try to introduce broadly generalizable complexities into thermal models of such systems. Chapter 4 focuses on organic interferences, a common issue that impacts the speed and quality of U-Pb and Pb-Pb data collected on TIMS instruments. We share two techniques used at the Purdue Radiogenic Isotope Geology Lab to first reduce and then avoid any residual organic interferences. These techniques help shorten analytical times, increasing throughput, and provide a means to reduce uncertainties on our measurements, since the presence of organic interferences can bias and increase the uncertainties on U-Pb dates.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/25639446 |
| Date | 19 April 2024 |
| Creators | Disha Chandrakan Okhai (18403560) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Magma_Mass_Spectrometry_and_Models_Insights_into_Sub-Volcanic_Reservoirs_and_the_Processes_that_Form_Them/25639446 |
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