标题： 使用车载DAS的地下水每日监测弹性全波形反演 显示英文标题

标题： Daily Groundwater Monitoring Using Vehicle-DAS Elastic Full-waveform Inversion

摘要： 理解地下水动态对于可持续的水资源管理至关重要，尤其是在气候极端事件加剧的情况下。然而，现有的地下观测工具的分辨率仍然不足以进行详细的含水层监测和成像。我们引入了一种创新的技术，利用时移全波形反演进行地下水监测，借助光纤电缆作为地震传感器，车辆交通作为重复的地震源。在加利福尼亚州Sandhill Road长达两年的时间里，这种方法捕捉到了详细的时空S波速度变化，在2023财年大气河流风暴后，地下水位上升9.0米，对应着2.9%的减少。值得注意的是，这种方法能够实现含水层快速响应的高分辨率每日分析。我们观察到空间非均匀的速度变化，不透水铺装区域下的减少较少，而草地区域下的减少较多，这突显了城市化对含水层自然补给的影响。我们的研究结果突出了Vehicle-DAS FWI在高分辨率每日监测和地下水系统定量时空特征方面的潜力。 显示英文摘要

摘要： Understanding groundwater dynamics is critical for sustainable water management, particularly as climate extremes intensify. However, the resolutions of existing subsurface observational tools are still inadequate for detailed aquifer monitoring and imaging. We introduce an innovative technique for groundwater monitoring using time-lapse full-waveform inversion, leveraging fiber-optic cables as seismic sensors and vehicular traffic as repetitive seismic sources. Over a two-year period along Sandhill Road, California, this approach captures detailed spatiotemporal S-wave velocity variations, revealing a 2.9% reduction corresponding to a 9.0-meter groundwater table rise after atmospheric-river storms in Water Year 2023. Notably, this approach enables the high-resolution daily analysis of rapid aquifer responses. We observe spatially inhomogeneous velocity changes, with less reduction beneath impervious paved zones than under grassy areas, underscoring the impact of urbanization on the natural recharge of aquifers. Our findings highlight the potential of Vehicle-DAS FWI for high-resolution daily monitoring and quantitative spatiotemporal characterizations of groundwater systems.