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Lee, Jungwoo

2009, Doctor of Philosophy, Ohio State University, Civil Engineering.
Damage caused by landslides exceeds $ 3 billion annually in the U.S and more than $ 10 billion each year worldwide, making losses attributed to landslides greater than any other natural disaster except hurricanes. Along with massive property loss, thousands people are killed and injured every year as the result of landslides. Potentially, much of this property damage and many of the injuries and deaths can be avoided with an operational landslide warning system. The goal of this research is to develop a wireless sensor network to predict the onset of landslides. The system will work by recording orientation changes from tiltmeters deployed on the surface of landslide prone slopes. Basic wired detection systems have been installed but, due to the high costs, monitoring systems can only cover a limited portion of a slope and requiring pre-existing knowledge of the most likely slide locations.
Wireless landslide detection systems today have many problems limiting their practicality. Current limitations include subsurface sensor installation costs, high energy consumption and actual validation at the network level. In this research software having the capacity to interpret signals and generate failure alerts is being developed. To validate the above system, measured displacement data using wired extensometers from select sites are converted to tilt values and for the same sites, failure modes showing vector plots are generated using a numerical analysis program. These failure modes will be compared with various non critical movements. These comparisons related to surface movement patterns will provide essential characteristics for the stable landslide warning algorithm.
For demonstration of this system, a slope with forty nodes consisting of eight columns and five rows is considered to be representative a typical hill slope. This demonstration shows how to implement the proposed algorithm based on a simple on and off sensor which will perform similarly to a tiltmeter. Only one time streaming of an (on) signal is needed when tilt reaches pre-set level, so battery power is only needed to send this information without waking and sending data periodically. Demonstrations show that the proposed algorithm can be implemented and successfully detect landslides using current sensor network technology.
William Wolfe, PhD (Advisor)
Fabian Tan, PhD (Committee Member)
Tarunjit Butalia, PhD (Committee Member)
186 p.

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Lee, J. (2009). REAL-TIME MONITORING OF LANDSLIDE USING WIRELESS SENSOR NETWORK. (Electronic Thesis or Dissertation). Retrieved from

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Lee, Jungwoo. "REAL-TIME MONITORING OF LANDSLIDE USING WIRELESS SENSOR NETWORK." Electronic Thesis or Dissertation. Ohio State University, 2009. OhioLINK Electronic Theses and Dissertations Center. 10 Dec 2017.

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Lee, Jungwoo "REAL-TIME MONITORING OF LANDSLIDE USING WIRELESS SENSOR NETWORK." Electronic Thesis or Dissertation. Ohio State University, 2009.


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