Three-Dimensional Landslide Model For Predicting Affected Area With Particle Flow Simulation

Main Article Content

Banphot Nobaew


- Landslides are a serious natural disaster in many countries around the world especially in highland areas during the rainy season. Therefore an early warning system which can predict the possibility of landslide in hazard areas is seriously required to prevent damage to life and assets. Three-dimensional models are also needed to simulate landslide areas for prediction of the overall effects. This paper describes a new three-dimensional landslide model by applying a methodology consisting of image processing, use of global positioning system, and risk factor interaction on programming. A landslide model is built by contouring the surveyed sites. In addition, a 3D Studio MAX script is employed based on existing risk factors to simulate the flow of land particles during the occurrence of a landslide. Based on observations of the landslide site, the proposed method shows acceptable accuracy on both the probability of landslide incident and its effects.

Article Details

How to Cite
B. Nobaew, “Three-Dimensional Landslide Model For Predicting Affected Area With Particle Flow Simulation”, JIST, vol. 1, no. 2, pp. 11–16, Dec. 2010.
Research Article: Soft Computing (Detail in Scope of Journal)


1. R. Guimaraes, R. Gomes, O. de Carvalho, E. do Amaral Vargas, N. Fernandes, and E. de Souza Martins, “Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with a twodimensional flood routing model for simulating debris flow,” Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International, 2007, pp. 3035-3038.

2. G. Venkatachalam, M. Nagesha, and G. Dodagoudar, “Landslide modelling using remote sensing and GIS,” Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International, 2002, pp. 2045-2047 vol.4.

3. J. Wang and X. Peng, “GIS-based landslide hazard zonation model and its application,” Procedia Earth and Planetary Science, vol. 1, Sep. 2009, pp. 1198-1204.

4. International Institute for Geo-Information Science and Earth Observation, “Statistical landslide hazard analysis”,Netherlands,, 2007.

5. A. Carrara, F. Guzzetti, M. Cardinali, and P. Reichenbach, Use of GIS Technology in the Prediction and Monitoring of Landslide Hazard. Natural Hazards, vol. 20, Nov. 1999, pp. 117-135.