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Presented by Zhimin Yang Presentation on the work of researchers at. 788.11J Presentation Landslide Prediction/Detection. A landslide is an event where a block of earthen mass slides downhill covering the area underneath with dirt and debris. Landslides are a major geologic hazard in the U.S

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landslides
A landslide is an event where a block of earthen mass slides downhill covering the area underneath with dirt and debris.

Landslides are a major geologic hazard in the U.S

25 to 50 fatalities per year

$1B to $3B property damages

Landslides
the main idea
The main idea
  • Detect and estimate displacements before catastrophic event[1][2] for Finite Element Analysis Model to process
  • Use strain measurement to predict landslide[3]
sensor column
Sensor column
  • Stargate Gateway
  • Connected to peripherals placed at different lengths of a flexible tube
    • Geophones
    • Measure distance from seismic signal sources
    • Pore Pressure Transducer & Reflectometer
      • Measure positive and negative pressures and moisture content (si)–Strain
    • Gauges
      • Detect tube deformation
      • Other sensors are powered off until triggered by Strain Gage
  • Gateway is above ground rest of the column is below ground
the main achievements
The main achievements
  • Landslide prediction system architecture
  • Landslide prediction algorithm[2]
    • Detection, Classification, Localization and Estimation
  • Threshold Based Detection and Statistical Detection Algorithms[3]
    • Centralized Vector Based Detection
    • Distributed Vector Based Detection with Independent Clusters
    • Distributed Scalar Based Detection with Independent Nodes
    • Distributed Vector Based Detection with Independent Nodes
  • Simulations[2][3]. Virtual landslide on 2-D virtual hill simulations[2] (more convincing).
the challenges
The challenges
  • Reliably detect and estimate small displacements
    • Determine columns that moved
    • Estimate new locations of dislocated columns
    • Estimate location of slip surface
  • 3-D localization
  • Eliminate false alarms

(positive/negative)

innovation
Innovation
  • New systems application
  • Can we simplify the system by using localization of sensor network? (without other types of sensors)
references
References
  • [1]Terzis, A.; Anandarajah, A.; Moore, K.; Wang, I.-J., "Slip surface localization in wireless sensor networks for landslide prediction," Information Processing in Sensor Networks, 2006. IPSN 2006. The Fifth International Conference on , vol., no.pp. 109- 116, 19-21 April 2006
  • [2]A. N. Sheth, K. Tejaswi, P. Mehta, C. Parekh, R. Bansal,S. Merchant, T. N. Singh, U. B. Desai, C. A. Thekkath, and K. Toyama. Poster Abstract, A Sensor Network Based Landslide Prediction System. In Proceedings of Sensys 2005, Nov. 2005.
  • [3]DISTRIBUTED DETECTION STRATEGIES FOR LANDSLIDE PREDICTION USING WIRELESS SENSOR NETWORKS, available at http://www.ee.iitb.ac.in/~prakshep/dds_lp.pdf