重庆万州龙驹坝地区滑坡灾害易发性分析

基于对重庆市万州区龙驹坝地区地质灾害详细调查数据的综合分析,开展了滑坡灾害易发性区划评价研究。首先,通过对区内滑坡影响因子的提取分析,采用粗糙集方法,得到了控制滑坡易发性的三大类6个主要分项指标;进而,将各评价因子根据滑坡发育情况进行属性状态划分,得到相应的计算数值。最后选取BP神经网络模型评价方法,经过样本区数据选取、神经网络训练、易发性计算评价得出区内易发性结果,并利用Arc GIS的分类功能将滑坡的易发性分为4个级别:低易发区、中易发区、高易发区、极高易发区。结果表明:极高和高易发区主要分布在地质构造核部,与实际调查情况相符。研究结论对区内地质灾害防治工作具有实际意义。

Susceptibility analysis of landslide in Longjuba area in Wanzhou district of Chongqing

The susceptibility zoning assessment of landslide is studied based on comprehensive analysis of the detailed survey data of geological disasters in Longjuba area, Wanzhou, Chongqing.Firstly, we extract and analyze the influential factors of landslide in the study area, and obtain six indicators that falls into three categories by the rough set analysis.Then the indicators' attribute states are classified according to the distribution condition of landslide, and the corresponding values are calculated.Taking the BP neural network analysis model as the method, the landslide susceptibility is assessed through the sample data selection, neural network training and susceptibility calculation.The susceptibility results are divided into four levels by the classification function in ArcGIS software: low susceptibility zone (0-0.3), medium susceptibility zone (0.3-0.5), high susceptibility zone (0.5-0.7) and extremely high susceptibility zone (> 0.7).It is revealed that the very high susceptibility and high susceptibility zones are mainly located at the core of geological structure, which is consistent with the actual investigation.Therefore, the study is of practical value for the disaster prevention in the study area.