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Investigating Mineral Stability under Venus Conditions: A Focus on the Venus Radar Anomalies.

机译:研究金星条件下的矿物稳定性:以金星雷达异常为重点。

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摘要

Radar studies of the surface of Venus have identified regions with high radar reflectivity concentrated in the Venusian highlands: between 2.5 and 4.75 km above a planetary radius of 6051 km, though it varies with latitude. Previous research has proposed several theories on the source of these anomalies, including increased surface roughness, metallic materials with higher dielectric constants, or ferroelectric materials. Prior work suggests several processes that could be the origin of these anomalies, such as surface-atmospheric interactions or low lying clouds or fog. Alternatively, these anomalies could result from a semi-metallic compound trapped at the cooler conditions in the highlands, likely forming as a snow or frost. If this were the case, the compound would be expected to precipitate out of a low cloud layer.;While theoretical studies have been beneficial towards determining the source of these anomalies, few experimental investigations have been done to validate these theories. In this dissertation, several minerals, chosen by their likely presence on Venus, were investigated to determine their stability under Venusian conditions, including temperature, pressure and atmospheric composition. Analysis of the empirical data enabled the identification of potential mineral source(s) of the radar-bright anomalies.
机译:对金星表面的雷达研究发现,雷达反射率高的区域集中在金星高地:高于6051 km的行星半径在2.5至4.75 km之间,尽管它随纬度而变化。先前的研究针对这些异常的来源提出了几种理论,包括增加的表面粗糙度,具有较高介电常数的金属材料或铁电材料。先前的工作表明可能是这些异常的起源的几种过程,例如地表大气相互作用或低空云层或雾。或者,这些异常现象可能是由高地中较冷的条件下捕获的半金属化合物引起的,可能形成雪或霜。如果是这种情况,则该化合物有望从低云层中沉淀出来。虽然理论研究对确定这些异常的根源很有帮助,但很少进行实验研究来验证这些理论。本文研究了几种可能存在于金星上的矿物,以确定它们在金星条件下的稳定性,包括温度,压力和大气成分。对经验数据的分析使得能够识别出雷达亮异常的潜在矿物源。

著录项

  • 作者

    Kohler, Erika.;

  • 作者单位

    University of Arkansas.;

  • 授予单位 University of Arkansas.;
  • 学科 Astronomy.;Mineralogy.;Geochemistry.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 105 p.
  • 总页数 105
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:46:59

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