长江科学院院报 ›› 2012, Vol. 29 ›› Issue (5): 78-85.

• 安全监测预警专栏 • 上一篇    下一篇

区域滑坡空间预测方法研究综述

王志旺1a,1b,1c,李端有1a,1b,1c,王湘桂2   

  1. 1. 长江科学院 a.工程安全与灾害防治研究所; b.水利部水工程安全与病害防治工程技术研究中心;c.国家大坝安全工程技术研究中心,武汉 430010; 2.湖北省地质环境总站,武汉 430034
  • 收稿日期:2012-03-13 出版日期:2012-05-01 发布日期:2012-06-21
  • 作者简介:王志旺(1971-),男,湖北武汉人,教授级高级工程师,博士,主要从事岩土工程安全监测预警与安全评估研究
  • 基金资助:

    国家科技支撑计划课题(2012BAK10B04);水利部公益性行业科研专项(200901058)

Review of Researches on Regional Landslide Susceptibility Mapping Model

WANG Zhi-wang1,LI Duan-you1,WANG Xiang-gui2   

  1. 1. Yangtze River Scientific Research Institute,Wuhan 430010,China;2.Hubei Central Station of Geological Environment,Wuhan 430034,China
  • Received:2012-03-13 Online:2012-05-01 Published:2012-06-21

摘要: 滑坡具有区域性、群发性、多发性及灾害严重的特点,开展大范围的区域滑坡空间预测评价是实现防灾减灾的有效途径。在区域滑坡空间预测研究方面,还存在预测指标体系的确定方法、预测指标的权重取值及连续数据离散化处理过程中造成的图层信息损失等问题,需要进一步研究解决。分别综述了确定性模型和非确定性模型在滑坡空间预测评价中的应用情况,重点介绍了非确定性模型中的知识驱动模型和数据驱动模型的应用情况及适用条件;并展望了区域滑坡空间预测方法的发展趋势。

关键词: 区域滑坡, 空间预测, 确定性模型, 知识驱动模型, 数据驱动模型

Abstract: Landslide is regional, group-occurring, frequent and harmful. It’s useful and effective to carry out research on regional landslide susceptibility mapping to prevent and reduce losses caused by landslides. We summarized the application of regional landslide susceptibility mapping models which include deterministic model and nondeterministic model, especially the knowledge-driven model and the data-driven model in the nondeterministic model. Moreover, we looked forward to the development tendency of these models. More researches should be carried out to select the predictors and determine the index weights of predictor objectively and quantitatively, and to avoid  the loss of useful information during the discretization of geological variables.

Key words:  regional landslide, landslide susceptibility mapping, deterministic model, knowledge-driven model, data-driven model

中图分类号: