Literature DB >> 34591636

Detection and potential early warning of catastrophic flow events with regional seismic networks.

Rajesh Rekapalli1, Michael Dietze2,3, Marco Pilz2, Simone Cesca2, Kristen L Cook2, N Purnachandra Rao1, D Srinagesh1, Himangshu Paul1, Malte Metz2,4, Prantik Mandal1, G Suresh1, Fabrice Cotton2,4, V M Tiwari1, Niels Hovius2,4.   

Abstract

Early warning is a critical potential tool for mitigating the impacts of large mass wasting and flood events, a major hazard in the Himalaya. We used data from a dense seismic network in Uttarakhand, India, to detect and track a fatal rockslide to mass flow to flood cascade and examine the potential for regional networks to provide early warning for extreme flow events. Detection limits of the 7 February 2021 event depend on the nature of the active process and on the anthropogenic and environmental seismic noise levels at each station. With the existing network, a seismic monitoring system could have detected all event phases from up to 100 kilometers and provided downstream warnings within minutes of event initiation.

Entities:  

Year:  2021        PMID: 34591636     DOI: 10.1126/science.abj1227

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  1 in total

1.  Potential seismic precursors and surficial dynamics of a deadly Himalayan disaster: an early warning approach.

Authors:  Anil Tiwari; Kalachand Sain; Amit Kumar; Jyoti Tiwari; Ajay Paul; Naresh Kumar; Chinmay Haldar; Sushil Kumar; Chhavi P Pandey
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.379

  1 in total

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