000020265 001__ 20265
000020265 005__ 20170118182406.0
000020265 04107 $$aeng
000020265 046__ $$k2017-01-09
000020265 100__ $$aWang, Weiping
000020265 24500 $$aThe Distribution of Landslides of Ludian Ms6.5 Earthquake Based on M5’model Tree Method

000020265 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000020265 260__ $$b
000020265 506__ $$arestricted
000020265 520__ $$2eng$$aOn Aug.3, 2014, an earthquake with Magnitude M s 6.5 occurred in Ludian county of Yunnan Province, China. The Ludian M s 6.5 Earthquake resulted in 617 deaths, 112 people missing, and also caused a large number of landslides and a large barrier lake. After the earthquake, a team with an Unmanned Aerial Vehicle (UAV) Disaster Acquisition System was sent to the site and captured the images of the worst hit disaster area. The images are of 0.3 m resolution and cover the entire extreme disaster area so all the landslides can be easily identified in the image. The earthquake-induced landslides which are larger than 5 meters in length, are picked out by comparing UAV imagery with the satellite image before the earthquake. Combining the high-resolution aerial images with basic geological data of the aerial area, we have considered structural strength of rocks, slope, vegetation condition and fault distance as the main factors affecting the distribution of landslides induced by earthquake. The results show that the landslides are mainly affected by fault distance, slope and structural strength of rocks. The density of landslides is reduces with increased fault distance. Earthquake-triggered landslides form easily at the structural fracture zone and on slopes within 38°-50°. A piecewise linear model which is fitted by M5’ model tree algorithm has four explicit piecewise linear index including the density of landslides, fault distance, structural strength of rocks, slope and vegetation condition. The model approaches the nonlinear relations of earthquake-triggered landslide distribution with those factors. The correlation coefficient between the model and the actual distribution of landslides density is 0.88, and it denotes that landslides density can be determined by the factor referring to the model. Therefore the model might be used to predict the distribution of earthquake-induced landslides.

000020265 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000020265 653__ $$aearthquake-triggered landslide; Ludian M s 6.5 earthquake; M5’ model tree algorithm; image from UAV

000020265 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000020265 720__ $$aWang, Weiping$$iYang, Jiansi$$iXu, Zhiqiang$$iPeng, Chaoyong$$iZheng, Yu$$iGao, Yu
000020265 8560_ $$ffischerc@itam.cas.cz
000020265 8564_ $$s1376896$$uhttps://invenio.itam.cas.cz/record/20265/files/868.pdf$$yOriginal version of the author's contribution as presented on USB, paper 868.
000020265 962__ $$r16048
000020265 980__ $$aPAPER