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New insights into the structural, hydrothermal, and biological systems of Long Valley caldera using hyperspectral imaging.

机译:使用高光谱成像技术对长谷火山口的结构,热液和生物系统的新见解。

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摘要

Long Valley is one of the better-studied calderas in the world, and is one of three active calderas in the contiguous United States. Suites of increasingly sophisticated geophysical and geochemical studies performed there since the late 1970's have revealed a restless and dynamic volcanic system. The years of study have elucidated much about the structure, tectonics, volcanogenesis, and hydrothermal system of Long Valley, but ambiguities still remain. The role of regional tectonics in the formation of Long Valley is unclear, geography of hydrothermal circulation and locations of major discharge zones are loosely determined, and biological systems in the caldera remain largely unstudied. In this thesis, I use hyperspectral imaging to study the Long Valley caldera. This synoptic, high spatial resolution remote sensing data is a new way of looking at active volcanoes; reproducing both previously known data and revealing new information.; In Chapters One and Two, I use 5 meter HyMap hyperspectral data to detect and map mineralization within Long Valley Caldera. Linear distributions of hydrothermal alteration mineral assemblages are proxies for zones of structural weakness with high permeability. Mineral maps with these linear distributions are presented as refined structural maps, where many distributions coincide with previously mapped structures and some map new structures. The fine spectral sampling of hyperspectral data also allows for mineral identification, which aids in producing new maps of hydrothermal circulation patterns and gross geochemical zonation in the caldera.; Chapter Three uses hyperspectral imaging to study the volcano-associated biological systems of Long Valley. Boundaries and growth of volcanogenic CO 2-induced tree-kills are studied, geothermally induced artificial senescence is documented, and thermophilic microorganisms within hot spring ecosystems are detected and mapped. Chapter Four discusses the use of AVIRIS hyperspectral imagery for direct detection of anomalous volcanogenic CO2 on Mammoth Mt.
机译:长谷(Long Valley)是世界上研究最深入的火山口之一,并且是美国毗连的三个活跃火山口之一。自1970年代后期以来,在那里进行的越来越复杂的地球物理和地球化学研究的一系列资料揭示了一个动荡不定的动态火山系统。多年的研究阐明了much谷的结构,构造,火山作用和热液系统,但仍然存在歧义。区域构造学在Long河谷形成中的作用尚不清楚,水热循环的地理学和主要排放区的位置是不确定的,并且破火山口中的生物系统仍未研究。本文利用高光谱成像技术研究了长谷火山口。这一概要性的,高空间分辨率的遥感数据是查看活火山的一种新方法。复制既有的已知数据并揭示新的信息。在第一章和第二章中,我使用5米的HyMap高光谱数据来检测和绘制长谷火山口内的矿化作用。热液蚀变矿物组合的线性分布是具有高渗透性的结构薄弱区域的代理。具有这些线性分布的矿物图以精细的结构图表示,其中许多分布与以前映射的结构一致,而一些分布与新的结构一致。高光谱数据的精细光谱采样还可以进行矿物鉴定,这有助于生成新的水热循环模式图和破火山口中的总地球化学分区。第三章使用高光谱成像技术研究Long谷的火山生物系统。研究了火山致CO 2 诱导的树木杀灭作用的边界和生长,记录了地热诱导的人工衰老,并检测并绘制了温泉生态系统中的嗜热微生物。第四章讨论了利用AVIRIS高光谱成像技术直接检测猛M象山上异常火山性CO 2 的过程。

著录项

  • 作者

    Martini, Brigette Ann.;

  • 作者单位

    University of California, Santa Cruz.;

  • 授予单位 University of California, Santa Cruz.;
  • 学科 Geology.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 291 p.
  • 总页数 291
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地质学;
  • 关键词

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