RAPID: Sentinel-1 and ALOS-2 InSAR interferograms to support community modeling, mapping, and estimation of hazards from strike-slip and thrust fault interactions in Haiti.
RAPID: Sentinel-1 and ALOS-2 InSAR interferograms to support community modeling, mapping, and estimation of hazards from strike-slip and thrust fault interactions in Haiti.
批准号:
2150704
负责人:
Jennifer Haase
金额:
$3.16万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-15 至 2022-02-28
中文摘要
这个快速项目通过结合哨兵1号和ALOS 2号干涉合成孔径雷达观测,支持对2021年8月14日海地(M=7.2)地震(M=7.2)后的卫星数据进行分析。这项分析将初步解释在海地地震序列中破裂的走滑和逆冲断层之间的相互作用。随着每一次新的卫星通道的发生(~5-7天)以及余震序列和辅助实地工作的发生,系统地发布初步和细化的图像。InSAR和余震重新定位将是帮助确定了解断裂和相邻断层上随后的应力变化所必需的断层几何结构的关键。更新后的图像将在每次获取后立即发布(https://topex.ucsd.edu/haiti_7.2/).早期将这些数据分发给当地野外科学家可以为地质测绘提供信息,这将有助于收集地表滑动的短暂数据。使用GMTSAR软件包产生的更高精度的InSAR观测,结合来自Sentinel-1和ALOS-2的数据,具有叠加和降噪功能,对于未来的建模工作至关重要。该方法提高了InSAR视线(LOS)形变图的精度,同时提供了数据产品,帮助研究人员识别具有同震和震后滑动的辅助断层构造,这些构造将受到现有GPS数据的大范围约束。InSAR图像可以帮助解决Enriquillo Plana Gardens断层东段倾滑分量的重要性,以及它与逆冲断层的相互作用是控制这种断层分段的主要因素,从而影响加勒比海板块这一挤压边界的地震危险性。该项目将支持一名每周处理图像的女研究生。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This RAPID project supports the analysis of satellite data following the August 14, 2021, Haiti earthquake (M=7.2) by combining Sentinel-1 and ALOS-2 InSAR observations. The analysis will allow preliminary interpretation of the interaction of strike-slip and thrust faults that rupture during the Haiti earthquake sequence. Systematic release of preliminary and refined images as each new satellite pass occurs (~5-7 days) and as the aftershock sequence and supporting field work takes place. InSAR, along with aftershock relocations, will be critical to help define the fault geometry necessary for understanding the rupture and subsequent stress changes on adjacent faults. Updated images will be released right after each acquisition (https://topex.ucsd.edu/haiti_7.2/). Early distribution of these data to local field scientists informs geologic mapping that will contribute to collecting ephemeral data on surface slip. Higher accuracy InSAR observations produced using the GMTSAR package, with stacking and noise reduction, combining data from Sentinel-1 and ALOS-2, are critical for future modeling efforts. The method increases the accuracy of InSAR line-of-sight (LoS) deformation maps while providing data products to help researchers identify ancillary fault structures with co- and post-seismic slip that will be constrained at large scale by available GPS data. The InSAR imagery can help resolve how significant the component of dip slip on the eastern segment of the Enriquillo Plantain Gardens Fault is and how its interaction with thrust faults is a major factor controlling this fault segmentation and thus impacts the seismic hazard in this trans-pressive boundary of the Caribbean plate. This project will support a female graduate student who will process the images weekly.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.
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