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Integrated Systems for Hydrogeological Risk Monitoring and Mitigation along Communication Routes

Discussing challenges in communication, risk levels, event scenarios, and risk scenarios for geological and hydraulic safety along motorways and railways. Addressing the need for effective early warnings, emergency plans, and risk maps to mitigate hydrogeological risks efficiently.

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Integrated Systems for Hydrogeological Risk Monitoring and Mitigation along Communication Routes

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  1. Progetto PON01_01503 Sistemi integrati per il monitoraggio, l’earlywarning e la mitigazione del rischio idrogeologico lungo le grandi vie di comunicazione. Discutiamo i risultati Geological and HydraulicSafetyalongMotorways and Railways EVENT AND RISK SCENARIOS Pasquale VERSACE

  2. Challenges and topic for discussions • Communication and dissemination • Some regions do nothing in case of yellow level, neither send forward to municipalities • Others complain of too many yellow and do not like to have 2 separate warning (flood and landslides) • Some municipalities wish to receive directly warnings and not through regions • What to do in the different levels? Authorities start to act only when is red level (not everybody understand that in yellow and orange level damages can occur). • Lack of emergency plans and risk maps (identifying critical areas) • Communication (experts and population) • Avoid too many false alarm, wrong level: yellow  orange • Toomanyleaders/politiciansbetweenexperts and population/localauthorities (developingcountriesvsdevelopedcountries)

  3. Eventscenarios Riskscenarios INTERVENTION MODEL Levels of criticality Levels of alert

  4. Eventscenarios • Landslide velocity • Landslide surface • Landslide scarp • Landslide volume • Thickness • Magnitude • Involved material • Occurrence probability Geometric index Properties of expected phenomena

  5. LANDSLIDE VELOCITY (VEL)

  6. LANDSLIDE SURFACE (SUR) • LANDSLIDE SCARP (SCA)

  7. LANDSLIDE VOLUME (VOL) • THICKNESS (THI)

  8. GEOMETRIC INDEX (GEI)

  9. MAGNITUDE (MAG) • f(GEI, VEL)

  10. INVOLVED • MATERIAL (IM) • OCCURRENCE • PROBABILITY (PRO)

  11. MAP OF EVENT SCENARIOS – level 1 • Perimeter of landslide and propagation zone MAG1 MAG3 MAG2

  12. MAP OF EVENT SCENARIOS – level 2 Normalized value Mud Debris Earth GEI PRO VEL MAG Mixture of components

  13. MAP OF EVENT SCENARIOS – level 3 Normalized value Mud Debris Earth GEI VOL THI SCA MAG SUR PRO VEL Mixture of components

  14. MAP OF EVENT SCENARIOS – level 3

  15. Riskscenarios

  16. Riskscenarios

  17. Riskscenarios • Mud and/or debris movements which could induce a friction reduction and facilitate slips

  18. Riskscenarios • Road subsidence induced by landslides that could drag or drop vehicles

  19. Riskscenarios Falls of significant volumes and/or boulders that could crush or cover vehicles and constitute an obstacle for others vehicles

  20. Riskscenarios A hydraulic infrastructures and/or barriers only emergency lane lane fast lane fast lane of the opposite carriageway lane of the opposite carriageway B C 18 riskscenarios

  21. Riskscenarios • Aa • Ab • Ac • Up • Down

  22. Riskscenarios • Ad • Ae • Af • Up • Down

  23. Riskscenarios • Ad • Bd • Cd • Up • Down

  24. Riskscenarios

  25. Riskscenarios

  26. Riskscenarios Ca Cb Cc Cd Ce Cf Up Down

  27. Riskscenarios

  28. Riskscenarios

  29. Levels of criticality and alert • 4 states: • state 0 (S0) = no variation • state 1 (S1) = small variation • state 2 (S2) = moderate variation • state 3 (S3) = high variation SEN Sensors Model outputs CAED • 2 states: • state 0 (S0) = no variation or not significant • state 1 (S1) = significantvariation IND INDICATORs • Meteorologicaland hydrologicalmodels for vaste areas (for exampleFLaIR model)

  30. Example • SUSHI Model FS (t = t0)

  31. Example • SUSHI Model

  32. Example • 4 states: • State 0 (S0) = no variation • state 1 (S1) = small variation • state 2 (S2) = moderate variation • state 3 (S3) = high variation

  33. RADAR Example

  34. SCATTEROMETER Example

  35. Levels of criticality and alert • 4 states: • state 0 (S0) = no variation • state 1 (S1) = small variation • state 2 (S2) = moderate variation • state 3 (S3) = high variation SEN • Criticalitylevels • ordinary criticality(level 1) • moderate criticality(level 2) • severe criticality(level 3) Sensors Model outputs • 2 states: • state 0 (S0) = no variation or not significant • state 1 (S1) = significantvariation IND INDICATORs • Meteorologicaland hydrologicalmodels for vaste areas (for exampleFLaIR model)

  36. Levels of criticality and alert CAED CCC

  37. Sensor network Model output

  38. Progetto PON01_01503 Sistemi integrati per il monitoraggio, l’earlywarning e la mitigazione del rischio idrogeologico lungo le grandi vie di comunicazione. Discutiamo i risultati The end Geological and HydraulicSafetyalongMotorways and Railways EVENT AND RISK SCENARIOS Pasquale VERSACE

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