Debris flow and snow avalanche detection

Research in this area is devoted to developing and implementing new techniques and methods for the detection and monitoring of debris flows and snow avalanches. The real-time detection of potentially destructive water, earth and snow mixtures such as debris flow and avalanches is a topic of growing interest to mitigate the risk in areas densely anthropized such as the Alpine region.

Optialp - Fiber optic-based system for the detection of destructive events

A new cutting-edge debris flow and avalanche detection system, called OPTIALP, was developed and patented. The system exploits the polarization variations induced on the fibre by mechanical vibrations, for the automatic detection of potentially destructive snow and soil-water mixtures along their propagation path. One of the main value-adds of the OPTIALP system is the “quasi-distributed” and spatially continuous detection along the whole fibre which improves the current monitoring technologies relying on "discrete" monitoring points and sensors. The OPTIALP system was designed and thoroughly tested in the laboratory environment using a specific setup. The results showed that the OPTIALP system could correctly identify the signals produced by lab-scale mass movements. Currently, the system is being experimented on site.

People

Publications

2023
  1. A new real-time debris flow and avalanches detection system based on optical fiber sensing
    Proceeding

    Aiassa, Santina; Antolini, Francesco; Barla, Marco; Insana, Alessandra; Gaudino, Roberto; Rizzelli Martella, Giuseppe; Pellegrini, Saverio
    E3S WEB OF CONFERENCES
    In: Debris flow hazard mitigation
    EDP Sciences
    8th International Conference on Debris Flow Hazard Mitigation (DFHM8) (Torino) 26-29 June 2023
    Vol.415 pp.4 ISSN:2267-1242 DOI:10.1051/e3sconf/202341503001

  2. Algorithm Optimization for Rockfalls Alarm System Based on Fiber Polarization Sensing
    Article

    Pellegrini, Saverio; Rizzelli, Giuseppe; Barla, Marco; Gaudino, Roberto
    IEEE PHOTONICS JOURNAL
    IEEE
    Vol.15 pp.9 (pp.1-9) ISSN:1943-0655 DOI:10.1109/JPHOT.2023.3281670

2020
  1. An Early Warning System for Debris Flows and Snow Avalanches
    Book chapter

    Antolini, F.; Aiassa, S.; Barla, M.
    LECTURE NOTES IN CIVIL ENGINEERING
    Lecture Notes in Civil Engineering
    Springer
    Vol.40 pp.10 (pp.338-347) ISSN:2366-2557 ISBN:9783030213589 DOI:10.1007/978-3-030-21359-6_36

2017
  1. A method for locating rockfall impacts using signals recorded by a microseismic network
    Article

    Gracchi, Teresa; Lotti, Alessia; Saccorotti, Gilberto; Lombardi, Luca; Nocentini, Massimiliano; Mugnai, Francesco; Gigli, Giovanni; Barla, Marco; Giorgetti, Andrea; Antolini, Francesco; Fiaschi, Andrea; Matassoni, Luca; Casagli, Nicola
    GEOENVIRONMENTAL DISASTERS
    Springer
    Vol.4 pp.12 (pp.1-12) ISSN:2197-8670 DOI:10.1186/s40677-017-0091-z

2016
  1. A Robust Wireless Sensor Network for Landslide Risk Analysis: System Design, Deployment, and Field Testing
    Article

    Giorgetti, Andrea; Lucchi, Matteo; Tavelli, Emanuele; Barla, Marco; Gigli, Giovanni; Casagli, Nicola; Chiani, Marco; Dardari, Davide
    IEEE SENSORS JOURNAL
    Institute of Electrical and Electronics Engineer
    Vol.16 pp.13 (pp.6374-6386) ISSN:1530-437X DOI:10.1109/JSEN.2016.2579263

2014
  1. Il monitoraggio delle frane in tempo reale
    Article

    Barla, Marco; Antolini, Francesco; Dao, Stefano
    STRADE & AUTOSTRADE
    EDI-CEM s.r.l.
    Vol.107 pp.4 (pp.154-157) ISSN:1723-2155

Total: 6