A data-based model to locate mass movements triggered by seismic events in Sichuan, China

Earthquakes affect the entire world and have catastrophic consequences. On May 12, 2008, an earthquake of magnitude 7.9 on the Richter scale occurred in the Wenchuan area of Sichuan province in China. This event, together with subsequent aftershocks, caused many avalanches, landslides, debris flows,...

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Bibliographic Details
Published in:Environmental monitoring and assessment 2014, Vol.186 (1), p.575-587
Main Author: de Souza, Fabio Teodoro
Format: Article
Language:English
Subjects:
Aftershocks
Analysis
Assessments
Atmospheric Protection/Air Quality Control/Air Pollution
Avalanches - statistics & numerical data
China
Data mining
Databases, Factual
Datasets
Debris flow
Earth and Environmental Science
Earthquakes
Earthquakes - statistics & numerical data
Ecology
Ecotoxicology
Environment
Environmental Management
Environmental monitoring
Environmental Monitoring - methods
Fault lines
Geographic information systems
Geological Phenomena
Landslides
Landslides & mudslides
Landslides - statistics & numerical data
Mathematical models
Models, Statistical
Monitoring/Environmental Analysis
Movements
Neural networks
Prediction models
Probability distribution
Remote sensing
Risk Assessment
Seismic activity
Seismic phenomena
Studies
Topography
Variables
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Summary:Earthquakes affect the entire world and have catastrophic consequences. On May 12, 2008, an earthquake of magnitude 7.9 on the Richter scale occurred in the Wenchuan area of Sichuan province in China. This event, together with subsequent aftershocks, caused many avalanches, landslides, debris flows, collapses, and quake lakes and induced numerous unstable slopes. This work proposes a methodology that uses a data mining approach and geographic information systems to predict these mass movements based on their association with the main and aftershock epicenters, geologic faults, riverbeds, and topography. A dataset comprising 3,883 mass movements is analyzed, and some models to predict the location of these mass movements are developed. These predictive models could be used by the Chinese authorities as an important tool for identifying risk areas and rescuing survivors during similar events in the future.
ISSN:0167-6369
1573-2959
DOI:10.1007/s10661-013-3400-3