Title of Document: IDENTIFYING LANDSLIDE HAZARDS IN A TROPICAL MOUNTAIN ENVIRONMENT, USING GEOMORPHOLOGIC AND PROBABILISTIC APPROACHES José Gregorio Roa-Lobo PhD, 2007 Directed By: Prof. Michael Kearney, Department of Geography The objective of this study is the performance, assessing, comparison and validation of a set of three landslide hazard maps: The geomorphological, the multicriteria eva...

Landslides can result in enormous casualties and huge economic losses in mountainous regions. In order to mitigate landslide hazard effectively, new methodologies are required to develop a better understanding of landslide hazard and to make rational decisions on the allocation of funds for management of landslide risk. Recent advances in risk analysis and risk assessment are beginning to provi...

more than 30% of iran's land is formed from mountainous areas. so each year, landslides cause damages to structures, residential areas and forests, creating sedimentation, muddy floods and finally deposit the sediments in reservoir dams. therefore, for preventing of this damages and expressing the sensitivity rate of hillslopes, landslide hazard zonation is considered in prone areas. the p...

Landslides as major natural geological hazards often result in significant harm to people and property. Between 20 and 31 August, 2002, Typhoon Rusa hit the Gangneung area as a storm associated with heavy rainfall. The maximum daily rainfall amounted to 609 mm, with 80 mm per hour. The consequence was the death of 266 people. Damage to property amounted to an approximate value of US$ 8 billion....

Hazard warning is necessary for effective mitigation due to disaster. People moving into a hazard prone area need to be made aware of the level of threat. In this study, a system to warn against hazard is being proposed. It aims to be independent, fast and pervasive. It is designed to be a generalized system that could be deployed across any region. The system is modular in structure consisting...

An empirical modeling of road related and non-road related landslide hazard for a large geographical area using logistic regression in tandem with signal detection theory is presented. This modeling was developed using geographic information system (GIS) and remote sensing data, and was implemented on the Clearwater National Forest in central Idaho. The approach is based on explicit and quantit...

The landslide is one of serious natural disasters in many countries around the world especially on highland area during the rainy season. Therefore, the early warning system which can predict the occurrences of landslide on hazard areas is seriously required for preventing damage to life and assets. Three-dimensional models are also needed to simulate landslide areas for prediction of the overa...