基于智能学习的灾害危险性评估技术研究及应用

面向地质灾害危险性评估的技术路线及方法体系研究问题,以滑坡灾害为例,开展基于智能学习的灾害危险性评估技术研究及应用。提出了一套基于GIS的从数据准备、分析建模到结果计算与检验,完整的滑坡危险性评估研究的技术路线和方法理论体系。结合GIS可视化分析显示技术、数据驱动型方法、智能学习方法等以重庆万州区为示例研究区域进行了滑坡危险性评估研究,并科学地评估了这些方法的分析结果,成功绘制出与已有滑坡分布吻合较好的滑坡危险性连续分布图及区划图。实验结果表明了本文方法和技术的有效性。

Research and Application of the Hazard Risk Assessment Technology Based on Intelligent Learning

Aiming at the technical route and method system problem of the geo-hazard risk assessment, taking landslide hazard as an example, this thesis carries out the research and application of the hazard risk assessment technology based on intelligent learning. From data preparation, analysis and modeling to calculation and checkout, a complete technical route and method theory system of landslide hazard risk assessment based on GIS has been put forward. Taking Wanzhou district of Chongqing as the study area, the research of risk assessment has been implemented, the analysis results of these approaches have been scientifically evaluated, different landslide hazard risk continual distribution maps and zonation maps that conform to the existent landslide distribution have been successfully made, based on the intelligent learning method, data-driven method, GIS technology, and so on. At last, the method and technology was verified efficiently by the experiments on the study area.