摘要
江西省定南县是我国离子型稀土矿的主要产区。在稀土开采的同时,产生了大量水土流失,诱发的多处泥石流淹没林地和耕地。运用QuickBird高分辨率遥感信息与3D可视化技术相结合对定南矿区开采面、固体废弃物及其造成的泥石流进行解译,根据泥石流分布特点选取危险性评价因子,建立了评价模型,依据预测结果划分了泥石流的危险性空间分布。预测结果得到遥感影像和野外实际调查的检验,模型在赣南离子型稀土矿区有一定的推广意义。
Remote sensing information can quickly and accurately identify the scope and intensity of the ground caused by the mining disturbance.GIS provides a tool for the river watershed division and quantitative calculation.Dingnan county of Jiangxi Province is the main producing areas of ion-type rare earth ore in China.It generates a lot of soil erosion with the rare earth mining at the same time,debris flow induced flooded a lot of woodland and farmland.Using QuickBird high-resolution remote sensing information and 3D visualization to distinguish the surface mining,solid waste and debris flow.Select the hazard assessment factors and establish the evaluation model according to the spatial distribution of debris,divide risk spatial distribution of debris based on forecast results.Forecast results are tested by remote sensing images and field investigation.The model in ionic rare earth mining area of Gannan has a certain significance for promotion.
出处
《遥感信息》
CSCD
2012年第1期57-61,共5页
Remote Sensing Information
基金
中国地质调查局
江西大余-定南成矿区遥感地质综合调查(1212010881404)
关键词
矿山泥石流
危险性评价
空间信息
mining debris flow
risk assessment
spatial information
