FIG Peer Review Journal


GEOWARNS: A System to Warn Geo-deformation Failure (3435)

Jayanta Kumar Ghosh and Devanjan Bhattacharya (India)
Dr. Jayanta Kumar Ghosh
Assistant Professor
Indian Institute of Technology Roorkee
Dept. of Civil Eng
Indian Institute of Technology Roorkee
Dept. of Civil Eng
Corresponding author Dr. Jayanta Kumar Ghosh (email: gjkumfce[at], tel.: + 91-1332-285429)

[ abstract ] [ handouts ] [ handouts ]

Published on the web 2009-02-16
Received 2008-12-01 / Accepted 2009-02-16
This paper is one of selection of papers published for the FIG Working Week 2009 in Eilat, Israel and has undergone the FIG Peer Review Process.

FIG Working Week 2009
ISBN 978-87-90907-73-0 ISSN 2307-4086


Geo-deformation failures leading landslides cause huge loss socio-economic infrastructures and personal life & property all over the world, specifically in hilly terrains. It is a localized phenomenon usually gets triggered by rainfall. In this paper, a framework for a warning system based on prediction of failure of geo-deformation has been proposed. The system warns against rainfall-triggered landslides making use of a Knowledge Based System including a warning module. The system consists of the input module, the understanding module, rainfall prediction module, the expert module, the output module and the warning module. The input module accepts scanned images of thematic maps of contributing factors of landslides as well as output from rainfall prediction module, based on field observed GPS data. The understanding module interprets input information to extract relevant information as required by expert module. The expert module consists of a Knowledge Base (KB) and Inference strategy to categorize the given region into different intensities of landslide hazard, output module provides a warning message based on decision of inference module and finally, warning module send the message to user. At present, the system has the capability to prepare a Landslide Susceptibility Zone map of a region and its extension to a prediction system is under development. The major outcome of the proposed system is the availability of a warning system local geo-hazard analyses and provide a support system for landslide disaster preparedness and mitigation activities.
Keywords: Geoinformation/GI; GNSS/GPS; Risk management; geo-deformation; rainfall forecasting; GPS; landslide warning; automated system; thematic map; map understanding; knowledge base; knowledge representation; natural disaster