【摘要】 针对地质灾害风险评价中存在的隐患点与风险级别不一致、易损性评价指标单一等问题,提出了基于隐患点详查及非线性叠加算法的地质灾害风险区划模型。模型通过针对性的隐患点调查,收集隐患点数据,从中选取与地质灾害风险相关的指标参数,形成隐患点模块H,遴选地质灾害的主要影响因素建立影响因素模块T。在对研究区域进行网格划分的基础上,进一步通过密度比、归一化算法、AHP等分析方法得出网格区域内两组模块的指标评分标准及指标间权重,得出H、T值。将H、T评分值代入模型R=HαT计算得出网格的最终风险数值。根据网格坐标,生成DEM数据,并形成区域的风险区划图件。通过对比,建立的风险区划模型较传统模型具有较高的准确率和较低的错误率,具有较好的实用性和科学性。更多还原

【Abstract】 There are two problems in the past geological disaster risk zoning: the inconsistency between the potential points of geo-disasters and the level of risk,and the over-simplicity of vulnerability assessment indicators.Focusing on these problems,this study established a model of geological disaster risk zoning based on the survey on potential points of geo-disasters and the nonlinear superposition algorithm. Through the targeted survey on potential points,the data related to the geological disaster risk index are collected to establish the independent module of potential points H. In addition,according to the influence factors of geological disasters induced by geological environments,the module of influence factors T is also established. On the basis of the meshing of the area studied,and through the analysis methods such as density ratio,normalization algorithm,AHP,the weight and standard of evaluation of the indexes of the two moduli in the grid are further obtained,which yields the values of H and T.Then the final value at risk can be calculated by introducing H and T into R = HαT. The DEM data are created according to the coordinate of the grid and the regional risk zoning map can be drawn. Compared with the traditional linear superposition model,the introduced model has higher accuracy and lower error rate,which is a practical and scientific approach.更多还原