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Study on the correlation between real-time GNSS landslide acceleration monitoring and earthquake response: a case of May 2, 2023, MW = 5.2 Baoshan earthquake, Yunnan
Geoenvironmental Disasters Pub Date : 2024-02-16 , DOI: 10.1186/s40677-024-00273-w
Zhigang Tao , Mengnan Li , Qiru Sui , Yuting Mao , Manchao He , Yuebin Jiang

Earthquakes and landslides pose significant threats to human safety and property, necessitating early warning systems. However, the high construction costs of earthquake early warning systems present a challenge. Landslide warnings are more prevalent, so linking them to earthquake warnings could address cost concerns. Hence, it is crucial to validate the feasibility of utilizing GNSS landslide monitoring as assistance for earthquake early warning systems. This paper analyzes acceleration anomaly data from 31 GNSS landslide monitoring points near the epicenter of the May 2, 2023, MW = 5.2 Baoshan earthquake in Yunnan. The response time was determined as the time difference between an earthquake's occurrence and GNSS's acceleration anomalies. This calculation helps measure the time delay and sensitivity between these two events. Data were obtained from the geological disaster monitoring and early warning management system. GNSS landslide monitoring showed high sensitivity to nearby earthquakes. The fastest response time among the 31 data points was 8 seconds, while the slowest was 56 seconds, all falling within the one-minute mark. A linear correlation was found between acceleration anomaly response time and distance from the epicenter, indicating the feasibility of GNSS landslide monitoring-assisted earthquake monitoring. A proposal is made for a GNSS landslide monitoring cluster to establish a multi-dimensional landslideearthquake disaster warning system. This approach offers new methods for combining earthquake and landslide early warning systems, leveraging existing infrastructure for cost-effectiveness and enhancing disaster preparedness.

中文翻译:

实时GNSS滑坡加速度监测与地震响应相关性研究——以2023年5月2日5.2级云南保山地震为例

地震和山体滑坡对人类安全和财产构成重大威胁,因此需要早期预警系统。然而,地震预警系统高昂的建设成本带来了挑战。山体滑坡预警更为普遍,因此将其与地震预警联系起来可以解决成本问题。因此,验证利用 GNSS 滑坡监测辅助地震预警系统的可行性至关重要。本文分析了2023年5月2日云南保山5.2级地震震中附近31个GNSS滑坡监测点的加速度异常数据。响应时间被确定为地震发生与 GNSS 加速度异常之间的时间差。此计算有助于测量这两个事件之间的时间延迟和灵敏度。数据来源于地质灾害监测预警管理系统。 GNSS 滑坡监测显示对附近地震高度敏感。 31个数据点的响应时间最快为8秒,最慢为56秒,均在1分钟以内。加速度异常响应时间与距震中距离之间存在线性相关性,表明GNSS滑坡监测辅助地震监测的可行性。提出建立GNSS滑坡监测集群,建立多维滑坡地震灾害预警系统。这种方法提供了结合地震和山体滑坡早期预警系统的新方法,利用现有基础设施实现成本效益并加强备灾。
更新日期:2024-02-16
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