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Toward a Comprehensive Areal Model of Earthquake-Induced Landslides
- Source :
- Natural Hazards Review. 10:19-28
- Publication Year :
- 2009
- Publisher :
- American Society of Civil Engineers (ASCE), 2009.
-
Abstract
- This paper provides a review of regional-scale modeling of earthquake-induced landslide hazard with respect to the needs for disaster risk reduction and sustainable development. Based on this review, it sets out important research themes and suggests computing with words (CW), a methodology that includes fuzzy logic systems, as a fruitful modeling methodology for addressing many of these research themes. A range of research, reviewed here, has been conducted applying CW to various aspects of earthquake-induced landslide hazard zonation, but none facilitate comprehensive modeling of all types of earthquake-induced landslides. A new comprehensive areal model of earthquake-induced landslides (CAMEL) is introduced here that was developed using fuzzy logic systems. CAMEL provides an integrated framework for modeling all types of earthquake-induced landslides using geographic information systems. CAMEL is designed to facilitate quantitative and qualitative representation of terrain conditions and knowledge about these conditions on the likely areal concentration of each landslide type. CAMEL is highly modifiable and adaptable; new knowledge can be easily added, while existing knowledge can be changed to better match local knowledge and conditions. As such, CAMEL should not be viewed as a complete alternative to other earthquake-induced landslide models. CAMEL provides an open framework for incorporating other models, such as Newmark's displacement method, together with previously incompatible empirical and local knowledge.
- Subjects :
- Engineering
Geographic information system
Disaster risk reduction
business.industry
Fuzzy set
General Social Sciences
Poison control
Landslide
Hazard
Fuzzy logic
Civil engineering
Construction engineering
Information system
business
General Environmental Science
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 15276996 and 15276988
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Natural Hazards Review
- Accession number :
- edsair.doi...........e63f25a61d738d5445353a15b3b333b9