Data for Urban Seismic Source Mapping

In this study, we explore the innovative use of existing and ubiquitous urban infrastructure--telecommunication optical fibers--to map urban seismic sources. We integrate seismic interferometry and beamforming algorithms to overcome the proximity limitations of previous urban seismology approaches. Our method models the propagation of seismic surface waves to estimate the spatio-temporal distribution of seismic source power (SSP; average seismic energy per unit of time), enabling the detection and localization of urban seismic sources occurring remotely from optical fibers. Put these pickle files into '/urban_das/data/das_data/' and run the scripts at https://github.com/jingxiaoliu/urban_das If you use this implementation, please cite our papers: [1] Liu, J., Li, H., Noh, H. Y., Santi, P., Biondi, B., & Ratti, C. (2025). Urban sensing using existing fiber-optic networks. Nature Communications, 16(1), 3091. [2] Yuan, S., Liu, J., Noh, H. Y., Clapp, R., & Biondi, B. (2024). Using vehicle‐induced DAS signals for near‐surface characterization with high spatiotemporal resolution. Journal of Geophysical Research: Solid Earth, 129(4), e2023JB028033. [3] Liu, J., Yuan, S., Dong, Y., Biondi, B., & Noh, H. Y. (2023). TelecomTM: A fine-grained and ubiquitous traffic monitoring system using pre-existing telecommunication fiber-optic cables as sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(2), 1-24.本研究创新性地利用现有且广泛部署的城市基础设施——通信光纤（telecommunication optical fibers），开展城市地震震源的测绘工作。本研究整合地震干涉法与波束成形算法，以克服以往城市地震学研究方法的近距离探测局限。本方法通过建模地震面波的传播过程，估算地震源功率（seismic source power, SSP；单位时间内的平均地震能量）的时空分布，从而能够探测并定位距离光纤较远的城市地震震源。 请将上述pickle文件放入`/urban_das/data/das_data/`路径下，并运行https://github.com/jingxiaoliu/urban_das 处提供的脚本。 若使用本实现，请引用以下论文： [1] Liu, J., Li, H., Noh, H. Y., Santi, P., Biondi, B. & Ratti, C. (2025). 基于现有光纤网络的城市感知研究. *Nature Communications*, 16(1), 3091. [2] Yuan, S., Liu, J., Noh, H. Y., Clapp, R. & Biondi, B. (2024). 基于高时空分辨率车辆诱发分布式声学传感（Distributed Acoustic Sensing, DAS）信号的近地表特征表征研究. *Journal of Geophysical Research: Solid Earth*, 129(4), e2023JB028033. [3] Liu, J., Yuan, S., Dong, Y., Biondi, B. & Noh, H. Y. (2023). TelecomTM：一种以现有通信光纤作为传感器的细粒度普适交通监测系统. *Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies*, 7(2), 1-24.