Elastic Stress Transfer at Mauna Loa Volcano, Hawaii: Constraints from InSAR and Gravity Measurements

该项目为获取和分析夏威夷莫纳罗亚火山的新InSAR和重力数据提供资金。pi将使用加拿大Radarsat卫星和多波束SAR图像来最佳地表征三维位移场。这些SAR数据将由首脑会议地区的年度重力调查加以补充。利用新的数据和反演方法，研究人员将开发一个火山岩浆管道系统的时间依赖模型。InSAR和重力的结合可以解析岩浆储层的几何形状，以及正在进行的裂谷加宽是由新岩浆的活跃侵入还是重力驱动的扩张引起的。火山的力学模型补充了数据分析。然后，pi将使用insar衍生的岩浆系统模型来评估应力场的变化，以及变形源的变化是否与静态应力变化模型一致。这将有助于更好地了解地震过程、火山喷发和火山侧面的不稳定性。这项研究将增加我们对夏威夷地震和火山灾害的认识，并通过WinSAR共享InSAR图像，使科学界受益。

This project funds the acquisition and analysis of new InSAR and gravity data for Mauna Loa volcano, Hawaii. The PIs will use the Canadian Radarsat satellite and multi-beam SAR imagery to optimally characterize the 3-D displacement field. The SAR data will be complemented by annual gravity surveys in the summit area. Using the new data and inversion methods the researchers will develop a time-dependent model for the magmatic plumbing system of the volcano. The combination of InSAR and gravity can resolve the geometry of the magma reservoir and whether the ongoing rift widening is caused by active intrusion of new magma or gravity-driven spreading. Data analysis is complemented by mechanical modeling of the volcano. The PIs will then use the InSAR-derived models of the magmatic system to evaluate changes of the stress field and whether changes in deformation sources are consistent with static stress change models. This will lead to a better understanding of earthquake processes, eruptions and flank instabilities on the volcano. The research will add to our knowledge of earthquake and volcanic hazards in Hawaii, as well as benefit the scientific community with the sharing of InSAR imagery through WinSAR.