Publication

Landslide Early Warning System for Rural Community as an Application of Sensor Asia


Publication Date : 2008-01-01
Author : Kiyoshi, H.Shrestha, A.Chinnachodteeranun, R.Hung, N. D.Shimamura, H.Fathani, T. F.Karnawati, D.Sassa, K.
Countries :
Disaster Management Theme :
Disaster Type : Landslide
Document Type : Research Paper
Languange : en
Link : http://www.cabi.org/gara/FullTextPDF/2008/20083298189.pdf

Abstact :

An early warning system for landslides was developed and deployed in Banjarnegara Region of Indonesia as a part of Asian Joint Research Project and Sensor Asia Initiative. A Fieldserver was used to collect data from several sensors and display them in a web page in real time. The system consists of a network camera, two extensiometers placed above and below the data collection point in order to check ground displacement, and a rain gauge to constantly check the antecedent as well as current rainfall which affect land movement. At the same time a water pressure gauge was also placed at a depth of 2.5 meters to measure the underground water level. The data from the sensors and the images from the camera are collected and stored in a database in an embedded Linux system. The system applies an algorithm based on local observations by landslide experts to provide warning messages at several levels. The warning levels are determined depending on the data collected from the two extensiometers and the rain gauge. A graphical interface is also provided at the local site for community people to see the movement and the warning level. The data and images collected at the site are also sent to a server at the Asian Institute of Technology (AIT) in Thailand, where it is possible to make it publicly accessible through the Internet. Since there are no stable infrastructures for Internet access available at the site in Banjarnegara, a GPRS modem has been used. The system collects data every 5 minutes and sends the collected data to AIT every 1 hour. This real time monitoring and early warning system can be an ideal implementation at landslide prone areas worldwide.