Integrating Geophone Network to Real-Time Wireless Sensor Network System for Landslide Detection

Recent years has show an increase in the occurrence of natural disasters, threatening human life and property. Early warning systems could help in reducing the impact of such disasters. We have designed and deployed a real-time wireless sensor network for landslide detection, in one of the landslide prone areas in India. The current wireless sensor network for landslide detection system is real-time, 24/7 operational and uses heterogeneous wireless networks for reliable data delivery. This research work proposes to incorporate wireless geophones to detect and analyze ground vibrations that may arise before, during and after the landslide. A nested wireless geophone methodology is designed to collect and analyze the relevant signals. The proposed system incorporates a novel signal processing algorithm, to detect landslides. Pilot deployment has been performed with one axis geophone, and the new design of nested 3C geophone will be implemented and validated in our existing system. The newly developed Wireless Geophone Network captures the slope instability vibrations. This data is analyzed and used for disseminating landslide warnings.

[1]  Leonardo Zan,et al.  Landslides early warning monitoring system , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[2]  Maneesha V. Ramesh,et al.  Real-Time Wireless Sensor Network for Landslide Detection , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[3]  E. J. Kruithof,et al.  Practical Set of Guidelines For Geophone Element Testing And Evaluation , 1988 .

[4]  A. Anandarajah,et al.  Slip surface localization in wireless sensor networks for landslide prediction , 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

[5]  Lorenzo Marchi,et al.  Systems and Sensors for Debris-flow Monitoring and Warning , 2008, Sensors.

[6]  Jerome Vergne,et al.  Spatiotemporal sequence of Himalayan debris flow from analysis of high-frequency seismic noise , 2009 .

[7]  Christine E. Krohn,et al.  Geophone ground coupling , 1984 .