【摘要】 滑坡是我国西南地区最为常见的一种地质灾害,为了加强对滑坡的防治和管理,本文从统计学的角度出发,选取坡度、坡向、坡型、水系、岩组、土地利用、断层距离、高程共8个评价因子,统计滑坡在各因子属性下的分布规律,并把相对滑坡点密度作为评价因子的量化值。在此基础上,利用熵权法计算各因子的权值,并将反距离权重法的思想用于模糊隶属度的计算,以模糊综合评价模型为基础计算宁南县的滑坡易发性分区结果。将宁南县滑坡易发性分区图与历史灾害点图层进行叠加分析,结果表明,有88.3%的历史滑坡点分布于极高易发区和高易发区,从低易发区到极高易发区的滑坡所占相对比例分别为0.03、0.19、0.54、1.28和3.78。以上数据说明该模型和想法切实可行,为滑坡的易发性评价提供了又一可靠途径。更多还原

【Abstract】 Landslide is one of the most common geological disasters in southwest of China. In order to strengthen the prevention and management of landslides, this paper selects 8 evaluation factors including slope, aspect, slope type, water system, rock group, land use, distance to faults, and elevation from a statistical point of view. The distribution law of the landslide under each factor attribute is calculated, and the relative landslide point density is used as the quantitative value of the evaluation factor. On this basis, the entropy weight method is used to calculate the weight of each factor, and the idea of the inverse distance weight method is used to calculate the fuzzy membership degree, and the landslide susceptibility zoning results of Ningnan County are calculated based on the fuzzy comprehensive evaluation model. Finally, The landslide susceptibility zoning map of Ningnan County is superimposed with the historical disaster point layer. The results show that 88.3% of historical landslide points are distributed in extremely high-prone areas and high-prone areas, the relative proportions of landslides from low-prone areas to extremely high-prone areas are 0.03, 0.19, 0.54, 1.28 and 3.78 respectively. The above data shows that the model and idea are practical and provide another reliable way for the evaluation of landslide susceptibility.更多还原