AI Artificial IntelligenceLandslide Velocity PredictionApplied to the Cassas Landslide, Italy

Table of contents Introduction Cassas Landslide Input data Velocity data prediction Past displacement prediction Mitigative measures Other applications End

Introduction

"AI LANDSLIDE" analyses monitoring data and allows reliable predictions of landslide velocity based on past inclino-metric data and rainfall.

Civil Protection Alerts can be triggered with more reliability, thus avoiding many costly costly crisis planning errorscrisis planning errors.

PARIS - LYON

GENEVA

TURIN - MILAN

GENOA - ROME

Cassas Landslide, Italy - Volume 20 - 30 million m3

- Lenght appx. 1.8 Km- Average slope 50 to 55 %- Slide depth appx. 60 m

Cassas LandslideRainfall 1998-2002

The learning phase encompassed 40 points. A.I. LANDSLIDE can already effectively predict velocities after a rather short learning phase!

Prediction: Velocity data 98-02

1999

1999

2000

2000

2001

2001

2002

2002

Rainfall 1990-2002 Rainfall data from 1991 to 2002 are available.

Thus it is possible to estimate the displacement during this period

AI Artificial Intelligence Landslide Prediction

Past displacement

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Displacement Real displacement Nov-98 to Ago-02

(46 months) Inclinometer n°3 ≈ 20.5 cm

≈ 20.5 cm

Calculated displacement Jan-91 to Nov-98 (94 months) Inclinometer n°3 ≈ 21.1 cm

≈ 21.1cm

According to the « AI Landslide » model the need of implementing mitigative measures has clearly emerged. The main scope being the depression of the ground water table

Three alternatives have been studied with a risk management approach:

Deep drainage by vertical shafts and submerged pumps

600 m long tunnel in stable ground with ascending drainage boreholes

150 m long 3 x 3 m drainage tunnel in the sliding mass with subhorizontal drains

« AI Landslide » engineering application

The system « AI Landslide » can be custom tailored to study other events and phenomena than landslides.

Practically, any activity in which the driving parameters can be measured and identified can be studied with « AI Landslide ». However the model has to be custom tailored for each phenomenon:

- Levels of water in a river or creek - Deformations and settlements - Tunnel’s convergence - Rock mass movements - Dispersion of contaminants - Etc.

Other « AI Landslide » applications

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More information in:

www.ailandslides.com www.riskope.com