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

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.

Modelling of crustal composition and Moho depths and their Implications toward seismogenesis in the Kumaon-Garhwal Himalaya.

We image the lateral variations in the Moho depths and average crustal composition across the Kumaon-Garhwal (KG) Himalaya, through the H-K stacking of 1400 radial PRFs from 42 three-component broadband stations. The modelled Moho depth, average crustal Vp/Vs, and Poisson's ratio estimates vary from 28.3 to 52.