RAGA和PPCE在崩塌、滑坡、泥石流灾害评价中的应用——以重庆市北碚区为例

Application of PPCE Based on RAGA in Collaps,Landslide and Debrits Flow Callaps,Hazard Evaluation——A case study of Jialing River,Beibei,Chongqing

基于RAGA的PPCE方法解决了多维空间数据到一维投影的过程。本论文以重庆市北碚区地质灾害数据为基础,用该方法对区域地质灾害评价和区划做初探,得出如下结论:危岩体主要分布在溪家河组和上沙溪庙组砂岩区,滑坡和泥石流主要分布在泥岩层分布区;嘉陵江回水区和侵蚀岸分布灾害体较堆积岸多。高危险等级地质灾害主要分布在嘉陵江沿岸有支流汇入地区;高等级地质灾害主要分布在嘉陵江侵蚀沿岸及峡口附近;向斜的轴部距河较远地区灾害等级较低。RAGE和PPCE方法运用到河谷地质灾害评价中,能准确反映地质灾害危险等级,为河谷地质灾害研究提供了新的思路和方法;用GIS方法从点数据到面的研究有一定创新。

The projection pursuit clustering Evaluation method（PPCE） based on Real coding Accelerating Genetic Algorithm （RAGA） provides a solution of projecting multi-dimensional data to one dimension. In this study, the authors use the new methods of RAGA and PPCE to analyze the regional geologic data which were obtained from Beibei Chongqing. It is drawn the conclusion that the high hazard grade areas mainly distribute along the .lialing River and the axis syncline of Beibei is a lower hazard area. Hazardous rocks are distributing in T3 x and J2-3 s sandstone areas; the landslides and debris flow break out in mudstone areas. The PPCE based on RAGA is an efficient approach in the field of geologic hazard analyzing and pro- vides a new way for the researching of valley geological disasters. Method of interpolation features data from Points to polygon is an innovation for GIS applications.