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Mountain torrents: Quantifying vulnerability and assessing uncertainties

机译:山洪:量化脆弱性和评估不确定性

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摘要

Vulnerability assessment for elements at risk is an important component in the framework of risk assessment. The vulnerability of buildings affected by torrent processes can be quantified by vulnerability functions that express a mathematical relationship between the degree of loss of individual elements at risk and the intensity of the impacting process. Based on data from the Austrian Alps, we extended a vulnerability curve for residential buildings affected by fluvial sediment transport processes to other torrent processes and other building types. With respect to this goal to merge different data based on different processes and building types, several statistical tests were conducted. The calculation of vulnerability functions was based on a nonlinear regression approach applying cumulative distribution functions. The results suggest that there is no need to distinguish between different sediment-laden torrent processes when assessing vulnerability of residential buildings towards torrent processes. The final vulnerability functions were further validated with data from the Italian Alps and different vulnerability functions presented in the literature. This comparison showed the wider applicability of the derived vulnerability functions. The uncertainty inherent to regression functions was quantified by the calculation of confidence bands. The derived vulnerability functions may be applied within the framework of risk management for mountain hazards within the European Alps. The method is transferable to other mountain regions if the input data needed are available.
机译:对处于风险中的元素进行漏洞评估是风险评估框架中的重要组成部分。受洪流过程影响的建筑物的脆弱性可以通过脆弱性函数来量化,该脆弱性函数表达了处于风险中的单个元素的损失程度与影响过程的强度之间的数学关系。根据奥地利阿尔卑斯山的数据,我们将受河流泥沙输送过程影响的住宅建筑的脆弱性曲线扩展到了其他洪流过程和其他建筑类型。针对基于不同流程和建筑物类型合并不同数据的目标,进行了一些统计测试。脆弱性函数的计算基于采用累积分布函数的非线性回归方法。结果表明,在评估住宅建筑物对洪流过程的脆弱性时,无需区分不同的含沙洪流过程。最终的漏洞功能已通过意大利阿尔卑斯山的数据和文献中提供的各种漏洞功能得到了进一步验证。这种比较显示了衍生漏洞功能的更广泛的适用性。回归函数固有的不确定性通过置信带的计算来量化。派生的漏洞功能可以在欧洲阿尔卑斯山的山区灾害风险管理框架内应用。如果需要的输入数据可用,则该方法可以转移到其他山区。

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