摘要
利用广西博白县地质灾害遥感解译成果,结合坡度、构造、路网、NDVI、坡向等十个因子,在GIS平台下对地质灾害的致灾因子进行归一化处理,再利用层次分析法确定各因子的权重系数,最后运用BP神经网络进行地质灾害易发性及危险性评价。
Based on the results of remote sensing interpretation of geological hazards in Bobai County, Guangxi, combined with ten factors such as slope, structure, road network, NDVI and slope direction, the disaster-causing factors of geological hazards are normalized under the platform of GIS, and then the weight coefficients of each factor are determined by analytic hierarchy process. Finally, the susceptibility and risk of geological hazards are evaluated by BP neural network.
引文
[1]魏新平、刘兴荣,基于地质灾害综合危险性指数的易发性分区[J].甘肃科技,2013(10).