Special Issue "Analysis and Prediction of Rainfall-Induced Landslides in a Changing Environment"
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".
Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 18148
Special Issue Editors

Interests: rainfall thresholds; landslide early warning systems; rainfall-induced landslides; rainfall analysis; landslide prediction; hydrology; geomorphology
Special Issues, Collections and Topics in MDPI journals

Interests: prediction and mapping of landslide hazards; physically based models for the triggering of shallow landslides; landslide susceptibility maps; rainfall thresholds for landslide triggering; regional-scale landslide early warning systems; civil protection; land planning; landslide risk assessment
Special Issues, Collections and Topics in MDPI journals

Interests: slope stability; hydrological modeling; water balance; evapotranspiration modeling; hydro-thermal modeling; landslides; evaporation; unsaturated soil
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Rainfall-induced landslides are frequent and widespread natural phenomena that cause damage to humans and goods worldwide. About 90% of the landslides that caused casualties worldwide are triggered by rainfall. Therefore, the prediction of rainfall-induced landslides constitutes a key scientific question with significant social implications.
To model the relationship between rainfall and slope stability and to predict the occurrence of landslides, two approaches are generally adopted. The first, “physically-based”, attempts to determine the influence of water (rainfall, infiltration, superficial flow) on slope stability by modelling its effects in terms of pore water pressure and related balance between shear stress and resistance. In this regard, numerical models are employed, and a notable number of detailed data is commonly required. The second approach, “empirical”, is based on a statistical–probabilistic analysis of rainfall time series and of past dates of known occurrences of slope movement. In this context, rainfall thresholds are the most commonly used empirical tools to predict the possible occurrence of a single landslide or a population of landslides within a homogeneous geo-environmental setting in a given study area.
This Special Issue will collect contributions about recent research advances and/or well-documented applications in the prediction of rainfall-induced landslides. Contributions regarding the definition and the application of both empirical and physically-based methods and procedures to single phenomena or a population of landslides are welcome. Given the strong relationship between rainfall and landslides, variations in rainfall regimes are supposed to have effects on slope stability and on landslide characteristics. Therefore, contributions regarding the evaluation of the impact of observed and expected climatic and environmental (e.g. land use/cover) changes on landslide activity, frequency, and distribution are also welcome. Finally, we encourage the submission of contributions concerning operative applications, with the validation and performance evaluation of the models.
Dr. Stefano Luigi Gariano
Dr. Samuele Segoni
Dr. Guido Rianna
Guest Editors
Manuscript Submission Information
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Keywords
- Rainfall-Induced Landslides
- Predictive Approaches
- Landslide Analysis
- Landslide Hazard
- Climate Change
- Extreme Rainfall Events
- Land Use Change
- Adaptation Strategies
- Disaster Risk Reduction
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