Ajo-Franklin Jonathan B, Dou Shan, Lindsey Nathaniel J, Monga Inder, Tracy Chris, Robertson Michelle, Rodriguez Tribaldos Veronica, Ulrich Craig, Freifeld Barry, Daley Thomas, Li Xiaoye
Lawrence Berkeley National Laboratory, Energy Geoscience Division, California, USA.
University of California, Berkeley, Earth and Planetary Sciences Department, California, USA.
Sci Rep. 2019 Feb 4;9(1):1328. doi: 10.1038/s41598-018-36675-8.
We present one of the first case studies demonstrating the use of distributed acoustic sensing deployed on regional unlit fiber-optic telecommunication infrastructure (dark fiber) for broadband seismic monitoring of both near-surface soil properties and earthquake seismology. We recorded 7 months of passive seismic data on a 27 km section of dark fiber stretching from West Sacramento, CA to Woodland, CA, densely sampled at 2 m spacing. This dataset was processed to extract surface wave velocity information using ambient noise interferometry techniques; the resulting V profiles were used to map both shallow structural profiles and groundwater depth, thus demonstrating that basin-scale variations in hydrological state could be resolved using this technique. The same array was utilized for detection of regional and teleseismic earthquakes and evaluated for long period response using records from the M8.1 Chiapas, Mexico 2017, Sep 8th event. The combination of these two sets of observations conclusively demonstrates that regionally extensive fiber-optic networks can effectively be utilized for a host of geoscience observation tasks at a combination of scale and resolution previously inaccessible.
我们展示了首批案例研究之一,该研究证明了利用部署在区域无光光纤电信基础设施(暗光纤)上的分布式声学传感技术,对近地表土壤特性和地震学进行宽带地震监测。我们在一段从加利福尼亚州西萨克拉门托延伸至加利福尼亚州伍德兰的27公里暗光纤路段上记录了7个月的被动地震数据,以2米的间距进行密集采样。利用环境噪声干涉测量技术对该数据集进行处理,以提取表面波速度信息;所得的V剖面图用于绘制浅层结构剖面图和地下水位深度图,从而表明利用该技术可以解析水文状态的盆地尺度变化。同一阵列用于检测区域地震和远震地震,并利用2017年9月8日墨西哥恰帕斯8.1级地震的记录评估其长周期响应。这两组观测结果相结合,确凿地证明了区域广泛的光纤网络能够有效地用于一系列地球科学观测任务,其规模和分辨率是以前无法达到的。