首页> 外文会议>International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation(RISK 2004); 2004; Rhodes(GR) >Uncertainties and fuzziness in analysing risk related to natural hazards: a case study in the Ortles Alps, South Tyrol, Italy
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Uncertainties and fuzziness in analysing risk related to natural hazards: a case study in the Ortles Alps, South Tyrol, Italy

机译:分析与自然灾害相关的风险时的不确定性和模糊性:以意大利南蒂罗尔州的奥尔特阿尔卑斯山为例

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摘要

Uncertainty and fuzziness in the input parameters needed for the determination of the collective risk induced by alpine natural hazards are investigated for the Sulden road between Prad and Sulden in the Ortles Area, South Tyrol, Italy. The road is the access road to the major skiing area in the Vinschgau region and has therefore a high importance for winter tourism. It is endangered by 17 snow avalanche paths. The determination of the collective risk on roads is based on the analysis of the fatality risk. In this work the uncertainties in the risk parameters were quantified using a normal distribution and a Monte Carlo simulation. Handling every imprecise parameter as a fuzzy number is another possibility to compute them with the operators of the fuzzy set theory and provides the consideration of uncertainties when managing risks. The use of fuzzy logic illustrated that the approximations of risk parameters could be represented transparently and systematically when vagueness associated with numeric quantities occurs. The uncertainties in the risk analysis have a significant influence on the subsequent procedures in risk management, i.e. risk communication processes. Therefore, the established method of risk analysis has been extended taking the uncertainties into consideration.
机译:在意大利南蒂罗尔州奥尔特地区的普拉德和苏尔登之间的苏尔登公路上,研究了确定高山自然灾害引起的集体风险所需的输入参数的不确定性和模糊性。这条道路是通往Vinschgau地区主要滑雪区的通道,因此对于冬季旅游具有重要意义。 17条雪崩小道使之濒临灭绝。道路上集体风险的确定是基于对死亡风险的分析。在这项工作中,使用正态分布和蒙特卡洛模拟对风险参数中的不确定性进行了量化。将每个不精确的参数作为模糊数处理是使用模糊集理论的运算符对其进行计算的另一种可能性,并在管理风险时提供了不确定性的考虑。模糊逻辑的使用说明,当与数值相关的模糊性发生时,可以透明,系统地表示风险参数的近似值。风险分析中的不确定性对风险管理的后续程序(即风险沟通流程)有重大影响。因此,考虑到不确定性,扩展了已建立的风险分析方法。

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