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