改进层次分析法的滑坡灾害危险性
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
对滑坡的危险性进行评价并提出防治措施能有效的减缓滑坡灾害带来的损失.以广东省滑坡危险性评价为例,选取地形地貌、地层岩性、地质构造、岩土体结构、水文地质条件、植被覆盖率、降雨分布、地震以及人类经济工程活动等9个评价因素,通过改进的层次分析法得出因素权重的大小,清楚地显示出主要因素和次要因素.结果表明:地层岩性影响最大,岩土体结构次之,植被覆盖率最小.结果对滑坡的危险性评价提供了更科学、合理的依据.
Evaluation the risk of landslide and Taking corresponding preventive measures could mitigate the losses caused by landslide hazards.Taking Guangdong Province as an example,we did the landslide hazard evaluation,using 9 types of affecting factors,which are strata topography,formation lithology,geologic structure,rock-soil structure,hydrogeology condition,vegetation coverage,rainfall,earthquake and human engineering activity.And then the weights for screened evaluation factors are determined based on improved analytic hierarchy process,which clearly indicate main factors and subordinate factors,and the chief good is strata topography,rock-soil structure the second,vegetation coverage the last.The results show that this method is reasonable and feasible for landslide hazard risk assessment.
引文
[1]谢全敏,刘鹏.滑坡灾害风险评价研究[J].金属矿山,2004(3):35-38.Xie Quanmin,Liu Peng,et al.Study on risk evaluation of landslide hazard[J].Metal and Nonmetal Mine,2004(3):35-38.
    [2]向喜琼.地质灾害风险评价与风险管理[J].地质灾害与环境保护,2004,11(1):38-41.Xiang Xiqiong.Risk assessment and risk management for slope geohazards[J].Geological Hazards environment preservation,2004,11(1):38-41.
    [3]Melehiorre C.Matteueei M.Azzoni A.et al.Artificial neural networksand cluster analysis in landslide susceptibility zonation[J].Geomorphology2008,94:379-400.
    [4]Yesiinaear E.ToPal T.Landslide susceptibility mapping:a comparison oflogistic region and neural networks methods in a medium seale study,Hendek region(Turkey)[J].Engineering Geology,2005(79):251-266.
    [5]梁冰,郭俊平.降雨条件下边坡地下水运动规律[J].辽宁工程技术大学学报:自然科学版,2007,26(S):90-91.Liang Bing,Guo Junping.Law of groundwater movement of slope underrainfall condition[J].Journal of Liaoning Technical University:NaturalScience,2007,26(S):90-91.
    [6]王志旺.基于GIS技术的区域滑坡分形特征分析与危险性评价[D].北京:中国地质大学研究生学院,2010.Wang Zhiwang.Research on fractal characters of regional landslide andrisk assessment based on GIS[D].Beijing:Graduate School of ChinaUniversity of Geosciences,2010.
    [7]乔建平,王萌.贡献权重叠加法的滑坡危险度区划研究[J].自然灾害学报,2011,20(2):8-13.Qiao Jianping,Wang Ping.Study on landslide risk zoning based on thecontributing weight stack method[J].Journal of Natural Disaster,2011,20(2):8-13.
    [8]乔建平.四川省及重庆市滑坡危险度区划研究[J].自然灾害学报,2000,9(1):68-71.Qiao Jianping.Study on landslide danger degree division in the area ofSichuan Province and Chongqing City[J].Journal of Natural Disaster,2000,9(1):68-71.
    [9]杨宗佶.基于熵权的典型滑坡危险度评价[J].自然灾害学报,2009,18(4):31-36.Yang Zongji.Hazard degree assessment of typical landslide based onentropy right[J].Journal of Natural Disaster,2009,18(4):31-36.
    [10]高永利,张振文.基于人工神经网络的井泉滑坡稳定性[J].辽宁工程技术大学学报:自然科学版,2006,25(S):83-84.Gao Yongli,Zhang Zhenwen.Jingquan slope stability based on artificialneural network[J].Journal of Liaoning Technical University:NaturalScience,2006,25(S):83-84.
    [11]谢全敏,夏元友.边坡治理方案评判体系的层次结构模型及应用[J].岩石力学与工程学报,2001,(S):1065-1069.Xie Quanmin,Xia YuanYou.Hierarchy model of treatment schemejudge system of slope and its application[J].Rock Mechanics and RockEngineering,2001(S):1 065-1 069.
    [12]李海滨,沙爱民.改进层级分析法在路面施工过程控制中的应用[J].长安大学学报:自然科学版,2008,28(5):23-26.Li Haibin,Sha Aimin.Application of improved AHP in pavementconstruction control[J].Journal of Chang’an University:Natural Science,2008,28(5):23-26.
    [13]孟凡奇,李广杰.逐步判别分析法在筛选泥石流评价因子中的应用[J].岩土力学,2010,31(9):2926-2928.Meng Fanqi,Li Guangjie.Application of Stepwise Discriminant AnalyticalMethod in Screening Factor in the debris flow Evaluation[J].GeotechnicalMechanics,2010,31(9):2 926-2 928.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心