Abstract
A rockfall is a geomorphologic process that occurs preferentially on sloping areas with large and unstable boulders. It is very important to provide hazard and risk maps due to rockfall as they are usually unexpected and can cause fatalities and several serious injuries to infrastructures and property. This paper presents results of the development and implementation of a stochastic model in a Geographic Information Systems (GIS) that calculates sets of the most probable rockfall pathways for 188 sampled boulders potentially dangerous identified in "Monte da Lua", Sintra (a small town classified as world heritage by UNESCO). This study was promoted in the sequence of such an occurrence on the 29th of January 2002.
Original language | English |
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Title of host publication | IAMG 2006 - 11th International Congress for Mathematical Geology: Quantitative Geology from Multiple Sources |
Publisher | International Association for Mathematical Geology, IAMG 2006 |
ISBN (Print) | 9782960064407 |
Publication status | Published - 2006 |
Event | 11th International Congress for Mathematical Geology: Quantitative Geology from Multiple Sources, IAMG 2006 - Liege, Belgium Duration: 3 Sept 2006 → 8 Sept 2006 |
Conference
Conference | 11th International Congress for Mathematical Geology: Quantitative Geology from Multiple Sources, IAMG 2006 |
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Country/Territory | Belgium |
City | Liege |
Period | 3/09/06 → 8/09/06 |
Keywords
- Cellular automata
- GIS
- Hazard map
- Risk map
- Rockfall
- Stochastic simulation