Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China

Computers and Geosciences

Volumn 46, Issue , 2012, Pages 317-329

  Xu, Chong ^a,b   Xu, Xiwei ^a   Dai, Fuchu ^b   Saraf, Arun K ^c  

^a INSTITUTE OF GEOLOGY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Artificial neural networks; Bivariate statistics; Earthquake triggered landslides; Landslide susceptibility mapping; Logistic regression; Support vector machine

Indexed keywords

BA MODEL; BIVARIATE; DATA LAYER; KERNEL FUNCTION; LANDSLIDE SUSCEPTIBILITY MAPPING; LOGISTIC REGRESSIONS; MAIN ROADS; PEAK GROUND ACCELERATION; PREDICTION RATE; RADIAL BASIS; RADIAL BASIS FUNCTIONS; SLOPE ANGLES; SOFTCOMPUTING TECHNIQUES; STUDY AREAS; SURFACE RUPTURES; SUSCEPTIBILITY MAPPING; SUSCEPTIBILITY MAPS; SVM MODEL; THEMATIC DATA; TOPOGRAPHIC WETNESS INDEX; TRIBUTARY WATERSHEDS; WENCHUAN EARTHQUAKE;

EARTHQUAKES; FORECASTING; LANDSLIDES; LITHOLOGY; LOGISTICS; MAPPING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; SOFT COMPUTING;

SUPPORT VECTOR MACHINES;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; EARTHQUAKE TRIGGER; GIS; LANDSLIDE; MAPPING METHOD; MODELING; REGRESSION ANALYSIS; SICHUAN EARTHQUAKE 2008; TRIBUTARY; WATERSHED;

CHINA; FU RIVER; HUBEI;

EID: 84862858195     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2012.01.002     Document Type: Article

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