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Your search keyword '"RISK assessment for landslides"' showing total 2 results
2 results on '"RISK assessment for landslides"'

1. Prediction of changes in landslide rates induced by rainfall.

Author

Bernardie, S., Desramaut, N., Malet, J.-P., Gourlay, M., and Grandjean, G.

Subjects
*RISK assessment for landslides, *LANDSLIDE prediction, *RAINFALL, *IMPULSE response, *FLUIDIZATION, *WATER pressure
Abstract

This work focuses on the development of a combined statistical-mechanical approach to predict changes in landslide displacement rates from observed changes in rainfall amounts. The forecasting tool FLAME (Forecasting Landslides Accelerations induced by Meteorological Events) associates (1) a statistical impulse response (IR) model to simulate the changes in landslide rates by computing a transfer function between the input signal (e.g. rainfall) and the output signal (e.g. displacement) and (2) a simple 1D mechanical (MA) model (e.g. viscoplastic rheology) to take into account changes in pore water pressure. The models have been applied to forecast the displacement rates at the Super-Sauze landslide (South East France). The performance of different combinations of models (IR model alone, MA model alone and a combination of the IR and MA models) is evaluated against observed changes in pore water pressures and displacement rates at the study site. Results indicate that the three models are able to reproduce the displacement pattern in the general kinematic regime (succession of acceleration and deceleration phases); conversely, extreme kinematic regimes such as fluidization of part of the landslide mass are not being reproduced. The approach constitutes however a robust tool to predict changes in displacement rates from rainfall or groundwater time series. [ABSTRACT FROM AUTHOR]

Published
2015
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2. The SESAMO early warning system for rainfall-triggered landslides.

Author

Pumo, D., Francipane, A., Conti, F. Lo, Arnone, E., Bitonto, P., Viola, F., Loggia, G. La, and Noto, L. V.

Subjects
*RAINFALL, *WEB-based user interfaces, *RISK assessment for landslides, *REAL-time computing, *MATHEMATICAL proofs, *WIRELESS sensor networks
Abstract

The development of Web-based information systems coupled with advanced monitoring systems could prove to be extremely useful in landslide risk management and mitigation. A new frontier in the field of rainfall-triggered landslides (RTLs) lies in the real-time modelling of the relationship between rainfall and slope stability; this requires an intensive monitoring of some key parameters that could be achieved through the use of modern and often low-cost technologies. This work describes an integrated information system for early warning of RTLs that has been deployed and tested, in a prototypal form, for an Italian pilot site. The core of the proposed system is a wireless sensor network collecting meteorological, hydrological and geotechnical data. Data provided by different sensors and transmitted to a Web-based platform are used by an opportunely designed artificial neural network performing a stability analysis in near real-time or in forecast modality. The system is able to predict whether and when landslides could occur, providing early warnings of potential slope failures. System infrastructure, designed on three interacting levels, encompasses a sensing level, integrating different Web-based sensors, a processing level, using Web standard interoperability services and specifically implemented algorithms, and, finally, a warning level, providing warning information through Web technologies. [ABSTRACT FROM AUTHOR]

Published
2016
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