Thermal and Compositional Structure of Antarctica from Probabilistic Joint Inversion of Seismic, Gravity, and Topography Data and Petrological Modelling

根据地震、重力、地形数据和岩石学模型的概率联合反演南极洲的热力和成分结构

• 批准号: 2203487
• 负责人: Walid Ben Mansour
• 金额: $ 19.16万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2203487&HistoricalAwards=false
• 关键词: Thermal; Compositional; Structure; Antarctica; Probabilistic

Non-Technical abstractThe physical state of the mantle beneath the Antarctic Ice Sheet plays a key role in the interaction between the Antarctic ice cover and the solid earth, strongly influencing the glacial system's evolution. Generally, mantle temperature profiles are determined by analyzing rock samples from the mantle to determine pressure-temperature conditions, and/or by conversion of seismic velocity anomalies to temperature anomalies. However, mantle rocks have been found only in a very few places in Antarctica, and seismic anomalies reflect not only thermal anomalies but also compositional variations. In this project, the investigators will (1) use the most recent geophysical datasets sensitive to temperature and composition (high-resolution seismic velocity model, topography, satellite gravity), (2) Combine the sensitivity of these datasets in a to retrieve the most reliable model of thermal and compositional structure, (3) translate the results into 2-dimensional maps of temperature slices and the composition of iron in the mantle,(4) compare the results with results from other continents to better understand Antarctic geological history, and (5) use the new thermal model along with established rock relationships to estimate mantle viscosity. Technical abstract The thermochemical structure of the lithosphere beneath Antarctica is fundamental for understanding the geological evolution of the continent and its relationship to surrounding Gondwana continents. In addition, the thermal structure controls the solid earth response to glacial unloading, with important implications for ice sheet models and the future of the West Antarctic Ice Sheet. However, it is challenging to get an accurate picture of temperature and composition from only sparse petrological/geochemical analysis, and most previous attempts to solve this problem geophysically have relied on seismic or gravity data alone. Here, we propose to use a probabilistic joint inversion (high resolution regional seismic data, satellite gravity data, topography) and petrological modelling approach to determine the 3D thermochemical structure of the mantle. The inversion will be carried out using a Markov-chain Bayesian Monte Carlo methodology, providing quantitative estimates of uncertainties. Mapping the 3-dimensional thermochemical structure (thermal and composition) will provide a comprehensive view of the horizontal (50-100 km resolution) and vertical (from the surface down to 380 km) variations. This new model will give us the temperature variation from the surface down to 380 km and the degree of depletion of the lithospheric mantle and the sub-lithospheric mantle. This new model will also be compared to recent models of Gondwana terranes 200 Myrs to build a new model of the thermochemical evolution of the cratonic mantle. The new thermal and chemical structures can be used to better understand the geothermal heat flux beneath the ice sheet as well as improve glacial isostatic adjustment and ice sheet models.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

非技术摘要南极冰盖下地幔的物理状态在南极冰盖与固体地球之间的相互作用中起着关键作用，强烈影响冰川系统的演化。一般来说，地幔温度剖面是通过分析来自地幔的岩石样本以确定压力-温度条件和/或通过将地震速度异常转换为温度异常来确定的。然而，南极洲仅在极少数地方发现了地幔岩石，地震异常不仅反映了热异常，还反映了成分变化。在这个项目中，研究人员将（1）使用对温度和成分敏感的最新地球物理数据集（高分辨率地震速度模型、地形、卫星重力），（2）将这些数据集的敏感性结合起来，以检索最可靠的热和成分结构模型，（3）将结果转化为温度切片和地幔铁成分的二维图，（4）将结果与其他大陆的结果进行比较，以更好地了解南极地质历史，以及(5)使用新的热模型以及已建立的岩石关系来估计地幔粘度。技术摘要 南极洲下方岩石圈的热化学结构对于了解该大陆的地质演化及其与周围冈瓦纳大陆的关系至关重要。此外，热结构控制着固体地球对冰川卸载的响应，对冰盖模型和西南极冰盖的未来具有重要意义。然而，仅通过稀疏的岩石学/地球化学分析来获得温度和成分的准确图像是具有挑战性的，并且之前大多数从地球物理角度解决此问题的尝试都仅依赖于地震或重力数据。在这里，我们建议使用概率联合反演（高分辨率区域地震数据、卫星重力数据、地形）和岩石学建模方法来确定地幔的3D热化学结构。反演将使用马尔可夫链贝叶斯蒙特卡罗方法进行，提供不确定性的定量估计。绘制 3 维热化学结构（热和成分）图将提供水平（50-100 公里分辨率）和垂直（从表面向下至 380 公里）变化的全面视图。这个新模型将为我们提供从地表到380公里的温度变化以及岩石圈地幔和岩石圈下地幔的损耗程度。这个新模型还将与冈瓦纳地体 200 Myrs 的最新模型进行比较，以建立克拉通地幔热化学演化的新模型。新的热结构和化学结构可用于更好地了解冰盖下方的地热热通量，并改进冰川均衡调整和冰盖模型。该奖项反映了 NSF 的法定使命，并通过使用基金会的评估进行评估，认为值得支持。智力价值和更广泛的影响审查标准。