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| 2010 Port-au-Prince, Haiti Earthquake Triggered Landslide Hazard Mapping and Its Validation |
| XU Chong |
| Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing 100029, China |
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Abstract: Tens of thousands of landslides were triggered by the January 12, 2010 Port-au-Prince, Haiti earthquake (Mw 7.0). The main purpose of this study was to apply and verify the hazard mapping techniques of earthquake triggered landslide by Bivariate Statistics (BS) method, Geographical Information System (GIS) and remote sensing technologies in the Haiti earthquake stuck area. A total of 30828 landslides were delineated in the study area from visual interpretation of multi-source and high resolution remote sensing images pre- and post-earthquake. Eight factors, including elevation, slope angle, slope aspect, slope curvature, distance from drainages, Peak Ground Acceleration (PGA), distance from the Enriquillo-Plantain Garden Fault (EPGF) and distance along the Enriquillo-Plantain Garden Fault (EPGF) were selected as impact factors for the Haiti earthquake triggered landslide hazard mapping. The 30828 landslides were randomly partitioned into two subsets: A training dataset, which contained 70% (21579 landslides, with a total area of 11.18km2), was used for building the model; and a testing dataset containing 30% (9249 landslides, with a total area of 4.56km2) was used for model testing. Landslide hazard probability index map was then generated using the training dataset, the eight landslide impact factors, the weight index (Wi) modeling, a BS method, and GIS technology. The validation results showed a success rate of 84.966% between the hazard probability index map and the training dataset. The predictive rate of 84.547% was obtained from comparing the testing dataset and the landslides hazard probability index map. Both the success rate and the predictive rate showed sufficient agreement between the landslide hazard map and the existing landslides data. The resulting landslide hazard map showed five classes of landslide hazard, such as very high, high, moderate, low and very low. This paper showed weight index modeling, as a BS method in earthquake triggered landslide hazard mapping owned high predictive ability. The results of landslide hazard mapping might help planners to choose favorable locations for reconstruction in the Haiti earthquake struck area.
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Received: 05 November 2012
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2013, Vol. 31 
