基于决策树算法的滑坡危险性区划评价

以浙江庆元县境内滑坡发生集中区为试验区,获取与滑坡危险性有关的因素集,包括数字高程、坡度、对应分析因子、地质图等,采用决策树算法对因素集数据进行数据挖掘,开展滑坡危险性区划,取得了与实际较为一致的结果.因此,利用决策树归纳技术可以快速准确地实现滑坡灾害区域评价与预测,是一种较好的滑坡灾害危险性评价方法.

Landslide risk assessment based on decision tree arithmetic

The landslides take place frequently in Qingyuan, Zhejiang Province and account each year for enormous property damage in terms of both direct and indirect costs. Image-map database related to landslides including digital elevation map, the slop map, the component data of correspondence analysis and the geological map are set up. The landslide hazard assessment are obtained according to the analysis of the image-map database with decision tree algorithm. The result is close to actual situation. So the technology of inductive learning can be used in landslide hazard assessment and prediction very well.