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Local and Territorial Landslide Early Warning Systems
Special Issue Information
Among the many mitigation measures available for reducing the risk to life related to landslides, early warning systems certainly constitute a significant option available to the authorities in charge of risk management and governance. Landslide early warning systems (LEWS) are non-structural risk mitigation measures applicable at different scales of analysis: slope and regional. Systems addressing single landslides at slope scale can be called local LEWS (Lo-LEWS), while systems operating over wide areas at regional scale are referred to as territorial systems (Te-LEWSs). An initial key difference between Lo-LEWSs and Te-LEWSs is the knowledge a priori of the areas affected by future landsliding. When the location of future landslides is unknown, and the area of interest extends beyond a single slope, only Te-LEWS can be employed. Conversely, Lo-LEWSs are typically adopted to cope with the risk related to one or more known well-identified landslides.
This Special Issue focuses on landslide early warning systems (LEWSs) at both regional and local scales. The Special Issue wishes to gather high-quality contributions on different operational approaches, original monitoring techniques, and methods useful to operate reliable (efficient and effective) Lo-LEWS and Te-LEWS. Contributions addressing the following topics are welcome:
- Improvement of landslide and rainfall databases;
- Innovative monitoring systems;
- Real-time monitoring and stability analysis with the Internet of Things (IoT);
- Rainfall thresholds definition;
- Warning models for warning levels issuing;
- Performance analysis of landslide warning models;
- Communication strategies;
- Emergency phase management;
- Landslide risk communication.
Dr. Luca Piciullo
Dr. James Michael Strout
Dr. Samuele Segoni
Dr. Emanuele Intrieri
Guest Editors
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Keywords
- Landslide
- Landslide monitoring
- Remote sensing
- Internet of Things (IoT)
- Landslide and rainfall databases
- Rainfall thresholds
- Short-term localized forecast
- Performance
- Risk management
- Communication strategy
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