1. AI Artificial Intelligence
Landslide Velocity Prediction
Applied to the Cassas Landslide, Italy

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

3. 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 costlycostly
crisis planning errorscrisis planning errors.

4. PARIS - LYON
GENEVA
TURIN - MILAN
GENOA - ROME

5. Cassas Landslide, Italy
 - Volume 20 - 30 million m3
- Lenght appx. 1.8 Km
- Average slope 50 to 55 %
- Slide depth appx. 60 m

6. Cassas Landslide
Rainfall 1998-2002

7.  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

8. 1999
1999
2000
2000
2001
2001
2002
2002

9. Rainfall 1990-2002
 Rainfall data from 1991 to 2002 are available.
Thus it is possible to estimate the
displacement during this period

10.  AI Artificial Intelligence Landslide Prediction
Past displacement

11. ?

12. 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

13.  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

14.  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

15. END
 More information in:
 www.ailandslides.com
 www.riskope.com