AI Artificial Intelligence
Landslide Velocity Prediction
Applied to the Cassas Landslide, Italy
Table of contents
 Introduction
 Cassas Landslide
 Input data
 Velocity data prediction
 Past displacement prediction...
Introduction
 "AI LANDSLIDE" analyses
monitoring data and allows
reliable predictions of landslide
velocity based on past...
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....
Cassas Landslide
Rainfall 1998-2002
 The learning phase encompassed 40 points.
A.I. LANDSLIDE can already effectively
predict velocities after a rather short...
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 durin...
 AI Artificial Intelligence Landslide Prediction
Past displacement
?
Displacement
 Real displacement Nov-98 to Ago-02
(46 months) Inclinometer n°3 ≈ 20.5 cm
≈ 20.5 cm
 Calculated displaceme...
 According to the « AI Landslide » model the need of
implementing mitigative measures has clearly emerged. The
main scope...
 The system « AI Landslide » can be custom tailored to study
other events and phenomena than landslides.
 Practically, a...
END
 More information in:
 www.ailandslides.com
 www.riskope.com
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AI Artificial Intelligence. Landslide velocity prediction applied to the Cassas Landslide, Piedmont, Italy

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AI Artificial Intelligence. Landslide velocity prediction applied to the Cassas Landslide, Piedmont, Italy

  1. 1. AI Artificial Intelligence Landslide Velocity Prediction Applied to the Cassas Landslide, Italy
  2. 2. Table of contents  Introduction  Cassas Landslide  Input data  Velocity data prediction  Past displacement prediction  Mitigative measures  Other applications  End
  3. 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. 4. PARIS - LYON GENEVA TURIN - MILAN GENOA - ROME
  5. 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. 6. Cassas Landslide Rainfall 1998-2002
  7. 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. 8. 1999 1999 2000 2000 2001 2001 2002 2002
  9. 9. Rainfall 1990-2002  Rainfall data from 1991 to 2002 are available. Thus it is possible to estimate the displacement during this period
  10. 10.  AI Artificial Intelligence Landslide Prediction Past displacement
  11. 11. ?
  12. 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. 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. 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. 15. END  More information in:  www.ailandslides.com  www.riskope.com

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