Abstract
ABSTRACTThe objective of this study is to attempt a new soft computing approach for assessment of landslide susceptibility in the Luc Yen district, Yen Bai province (Viet Nam) using a novel classifier ensemble model of Naïve Bayes and Rotation Forest. First, history of 95 landslide locations was identified byfield investigations and interpretation of aerial photos. Also, the total ten landslide causal factors were selected (slope, aspect, elevation, curvature, lithology, land use, distance to roads, distance to rivers, distance to faults, and rainfall) to evaluate the spatial relationship with landslide occurrences. Information Gain technique is carried out to quantify the predictive capability of these factors. Second, landslide susceptibility assessment was carried out utilizing the novel classifier ensemble model. Finally, the performance of landslide model was validated using receiver operating characteristic curve technique, and statistical index-based evaluations. The novel classifier ensemble model indicates high prediction capability (AUC = 0.846) and relatively high accuracy (ACC = 78.77%). The study reveals that this model performs well in comparison to the other landslide models such as AdaBoost, Bagging, MultiBoost, and Random Forest. Overall, the novel classifier ensemble model is a promising method that could be used for landslide susceptibility assessment.
Highlights
Landslide is known as one of the most serious natural hazards having devastating effects on human life and infrastructures (Tsangaratos et al 2013; Alimohammadlou et al 2014)
Aspect shows the highest contribution to landslide models in the study area with Average Information Gain (AIG) value is 0.189, followed by slope (AIG D 0.166), rainfall (AIG D 0.154), curvature (AIG D 0.15), lithology (AIG D 0.138), elevation (AIG D 0.13), land use (IG D 0.074), distance to rivers (AIG D 0.004), respectively
Distance to faults and distance to roads factors have the least contribution to landslide models with AIG of 0.002
Summary
Landslide is known as one of the most serious natural hazards having devastating effects on human life and infrastructures (Tsangaratos et al 2013; Alimohammadlou et al 2014). There were 2620 deadly landslide events occurred within 6 years from 2004 to 2010, killing a total of 32,322 people (Petley 2012). In Asia, approximately 18,000 people died and about 5.5 million people have been affected due to landslides during the period of 1950–2009, and the number of landslides in this region is relatively high in comparison to other regions of the world (EM-DAT 2010).
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