Seismic signature of an extreme hydro-meteorological event in Italy

Velio Coviello, Mauro Palo, Elisa Adirosi, Matteo Picozzi
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Abstract

Flash floods are a major threat for Mediterranean countries and their frequency is expected to increase in the next years due to the climatic change. Civil protection agencies are called to deal with increasing hydrological risk, but existing hydro-meteorological monitoring networks might not be enough for detecting, tracking, and characterizing rapidly evolving floods produced by severe convective storms. Nowadays, hydro-meteorological information in several watersheds particularly in small and mid-size in orographically complex regions or in third-world countries, is still not available or insufficient. To improve our observational capability of these events, we propose to exploit the seismic recordings, which act as opportunistic signals and can complement well-established procedures to early detect the occurrence of flash floods at regional scale. Here, we investigate the hydro-meteorological event that hit central Italy in September 2022 and resulted in a devastating flash flood. We compare seismic data from a national monitoring network with raingauges and hydrometer data. Our evidence suggests that the main stages of the hydro-meteorological events can be tracked by the spatio-temporal evolution of the seismic noise confirming the capability of this multi-sensor approach in detecting and characterizing such kind of events.

Abstract Image

意大利极端水文气象事件的地震特征
山洪暴发是地中海国家面临的一个主要威胁,由于气候变化,预计今后几年山洪暴发的频率还会增加。民防机构需要应对不断增加的水文风险,但现有的水文气象监测网络可能不足以探测、跟踪和描述强对流风暴引发的快速演变的洪水。目前,一些流域的水文气象信息,尤其是地形复杂地区或第三世界国家的中小型流域的水文气象信息,仍然无法获得或不足。为了提高我们对这些事件的观测能力,我们建议利用地震记录,因为地震记录是一种机会信号,可以补充既定程序,及早发现区域范围内发生的山洪。在此,我们研究了 2022 年 9 月袭击意大利中部并导致毁灭性山洪暴发的水文气象事件。我们将全国监测网络的地震数据与雨量计和水文计数据进行了比较。我们的证据表明,水文气象事件的主要阶段可以通过地震噪声的时空演变来跟踪,这证实了这种多传感器方法在检测和描述此类事件方面的能力。
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