788.11J Presentation

Landslide Prediction/Detection

Presented by Zhimin Yang

Presentation on the work of researchers at

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

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]

System Architecture

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

•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

•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

•New systems application

•Can we simplify the system by using localization of

sensor network? (without other types of sensors)

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