Real‐time detection, location, and characterization of rockslides using broadband regional seismic networks. Issue 13 (4th July 2016)

• Record Type: Journal Article
• Authors: Manconi, Andrea; Picozzi, Matteo; Coviello, Velio; De Santis, Francesca; Elia, Luca
• Is Part Of: Geophysical research letters. Volume 43:Issue 13(2016)
• Page Start: 6960
• Page End: 6967
• Publication Date: 2016-07-04
• Subjects: landslide monitoring -- rockslide‐induced seismicity -- rapid response; Geophysics -- Periodicals; Planets -- Periodicals; Lunar geology -- Periodicals; 550
• DOI: 10.1002/2016GL069572
• Languages: English
• ISSNs: 0094-8276

Abstract

Abstract: We propose a new real‐time approach to detect, locate, and estimate the volume of rockslides by analyzing waveforms acquired from broadband regional seismic networks. The identification of signals generated by rockslides from other sources, such as natural and/or induced earthquakes, is accomplished by exploiting the ratio between local magnitudes ( ML ) and duration magnitudes ( MD ). We found that signals associated with rockslides have ML / MD < 0.8, while for earthquakes ML / MD ≅ 1. In addition, we derived an empirical relationship between MD and rockslide volumes, obtaining a preliminary characterization of rockslide volume within seconds after their occurrence. The key points of this study are presented by testing the hypothesis on a recent rockslide event that occurred in northern Italy. We discuss also the potential evolution of the methodology for early warning and/or rapid response purposes. Key Points: New procedure to automatically detect, locate, and characterize rockslides few seconds after their occurrence Seismic signals induced by rockslides are discriminated from earthquakes when the ratio ML / MD <0.8 MD and rockslide volumes are linked through an empirical relationship