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Integration of landslide hazard maps into probabilistic risk assessment in context of global changes: an alpine test site

机译:在全球变化的背景下将滑坡灾害图整合到概率风险评估中:一个高山试验场

摘要

The aim of this work is to develop a methodology to integrate global changes scenarios into quantitative risk assessment. This paper describes a methodology to take into account effects of changing climate on landslides activity and impacts of social changes on exposure to provide a complete evaluation of risk for given scenarios. This approach is applied for demonstration purpose on a southern alpine test site. Mechanical approaches represent a solution to quantify landslide susceptibility and to model hazard on unprecedented conditions, as it is likely to occur. However, as the quantity and the quality of data are generally very heterogeneous at a regional scale, it is necessary to take into account their uncertainty in the analysis. In this perspective, a new hazard modeling method has been developed and integrated in a GIS-based software called ALICE®. To go further, climate change scenarios have been computed for the alpine test site (Barcelonnette area, France) using the REMO-COSMO-LM. From the precipitation time series, a daily index of the soil water content has been computed thanks to a reservoir-based model (GARDENIA®). Hence, the program classifies hazard zones depending on the several spatial data (lithological, DEM, etc...) and different hydrological contexts varying in time. The probabilistically initiated landslides are then propagated thank to a semi-empirical model (BORA) to provide real hazard maps. Different scenarios of land-use have been developed using an automate cellular model to cover the probable range of development of potential elements at risks in the future. These exposure maps are then combined with the aforementioned hazard maps to obtain risk maps for the different periods and the different land-use development scenarios. Potential evolutions of landslide risks are then evaluated, with a general increase in the 7 communes. This methodology also allows the analysis of the contributions of both considered global changes (climate and land-use) to the evolution of risk. This communication, realized within the framework of Safeland project, is supported by the European Commission under the 7th Framework Programme for Research and Technological Development, Area "Environment", Activity 1.3.3.1 "Prediction of triggering and risk assessment for landslides" (grant agreement n°226479).
机译:这项工作的目的是开发一种方法,以将全球变化方案整合到定量风险评估中。本文介绍了一种方法,该方法应考虑到气候变化对滑坡活动的影响以及社会变化对暴露的影响,以针对给定情况提供完整的风险评估。此方法在南部高山测试站点上用于演示目的。机械方法代表了一种解决方案,可以量化滑坡敏感性,并在可能发生的史无前例的条件下对灾害进行建模。但是,由于数据的数量和质量在区域范围内通常非常不同,因此有必要在分析中考虑其不确定性。从这个角度出发,已经开发了一种新的危害建模方法,并将其集成到称为ICE的基于GIS的软件中。更进一步,已经使用REMO-COSMO-LM计算了高山测试地点(法国巴塞罗内特地区)的气候变化情景。根据降水时间序列,借助基于水库的模型(GARDENIA®),可以计算出土壤含水量的每日指数。因此,该程序根据多个空间数据(岩性,DEM等)和随时间变化的不同水文环境对危险区域进行分类。然后借助半经验模型(BORA)传播概率引发的滑坡,从而提供真实的灾害图。使用自动细胞模型已经开发了不同的土地利用方案,以涵盖将来可能面临风险的潜在元素开发的可能范围。然后将这些暴露图与上述危害图结合起来,以获得不同时期和不同土地利用开发方案的风险图。然后评估了滑坡风险的潜在演变,并增加了7个社区的滑坡风险。这种方法还可以分析考虑的全球变化(气候和土地利用)对风险演变的贡献。在Safeland项目框架内实现的这种交流得到了欧盟委员会第七研究与技术开发框架计划“环境”领域活动1.3.3.1“滑坡触发和风险评估的预测”(授权协议)的支持n°226479)。

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