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Risk-based damage potential and loss estimation of extreme flooding scenarios in the Austrian Federal Province of Tyrol

机译:奥地利联邦蒂罗尔州基于风险的潜在洪灾破坏可能性和极端洪水情景的损失估算

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Within the last decades serious flooding events occurred in many parts of Europe and especially in 2005 the Austrian Federal Province of Tyrol was serious affected. These events in general and particularly the 2005 event have sensitised decision makers and the public. Beside discussions pertaining to protection goals and lessons learnt, the issue concerning potential consequences of extreme and severe flooding events has been raised. Additionally to the general interest of the public, decision makers of the insurance industry, public authorities, and responsible politicians are especially confronted with the question of possible consequences of extreme events. Answers thereof are necessary for the implementation of preventive appropriate risk management strategies. Thereby, property and liability losses reflect a large proportion of the direct tangible losses. These are of great interest for the insurance sector and can be understood as main indicators to interpret the severity of potential events. The natural scientific-technical risk analysis concept provides a predefined and structured framework to analyse the quantities of affected elements at risk, their corresponding damage potentials, and the potential losses. Generally, this risk concept framework follows the process steps hazard analysis, exposition analysis, and consequence analysis. Additionally to the conventional hazard analysis, the potential amount of endangered elements and their corresponding damage potentials were analysed and, thereupon, concrete losses were estimated. These took the specific vulnerability of the various individual elements at risk into consideration. The present flood risk analysis estimates firstly the general exposures of the risk indicators in the study area and secondly analyses the specific exposures and consequences of five extreme event scenarios. In order to precisely identify, localize, and characterize the relevant risk indicators of buildings, dwellings and inventory, vehicles, and individuals, a detailed geodatabase of the existing stock of elements and values was established on a single object level. Therefore, the localized and functional differentiated stock of elements was assessed monetarily on the basis of derived representative mean insurance values. Thus, well known difference factors between the analysis of the stock of elements and values on local and on regional scale could be reduced considerably. The spatial join of the results of the hazard analysis with the stock of elements and values enables the identification and quantification of the elements at risk and their corresponding damage potential. Thereupon, Extreme Scenario Losses (ESL) were analysed under consideration of different vulnerability approaches which describe the individual element's specific susceptibility. This results in scenario-specific ranges of ESL rather than in single values. The exposure analysis of the general endangerment in Tyrol identifies (i) 105 330 individuals, (ii) 20 272 buildings and 50 157 dwellings with a corresponding damage potential of approx. EUR 20 bn. and (iii) 62 494 vehicles with a corresponding damage potential of EUR 1 bn. Depending on the individual extreme event scenarios, the ESL solely to buildings and inventory vary between EUR 0.9??"1.3 bn. for the scenario with the least ESL and EUR 2.2??"2.5 bn. for the most serious scenarios. The correlation of the private property losses to buildings and inventory with further direct tangible loss categories on the basis of investigation after the event in 2005, results in potential direct tangible ESL of up to EUR 7.6 bn. Apart from the specific study results a general finding shows that beside the further development of modelling capabilities and scenario concepts, the key to considerably decrease uncertainties of integral flood risk analyses is the development and implementation of more precise methods.
机译:在过去的几十年中,欧洲许多地区发生了严重的洪灾事件,尤其是在2005年,奥地利联邦蒂罗尔州受到了严重影响。这些事件,特别是2005年事件,已引起决策者和公众的注意。除了有关保护目标和经验教训的讨论之外,还提出了有关极端和严重洪灾事件的潜在后果的问题。除公众的普遍利益外,保险业的决策者,公共当局和负责任的政客尤其面临极端事件可能造成的后果的问题。为了实施适当的预防性风险管理策略,必须提供答案。因此,财产和负债损失占直接有形损失的很大一部分。这些对于保险行业非常重要,可以理解为解释潜在事件严重性的主要指标。自然科学技术风险分析概念提供了一个预定义和结构化的框架,可以分析处于风险中的受影响元素的数量,其相应的潜在损坏和潜在损失。通常,此风险概念框架遵循风险分析,论述分析和后果分析的过程步骤。除了常规的危害分析之外,还分析了潜在危险元素的数量及其相应的破坏潜力,并据此估算了具体的损失。这些考虑了处于危险中的各个要素的特定脆弱性。当前的洪水风险分析首先估算研究区域内风险指标的一般风险,其次分析五个极端事件情景的具体风险和后果。为了精确识别,定位和表征建筑物,住宅和库存,车辆和个人的相关风险指标,在单个对象级别上建立了现有元素和值库存的详细地理数据库。因此,根据派生的代表性平均保险价值对货币的本地化和功能差异化存量进行了货币评估。因此,可以在本地和区域范围内大大减少元素存量分析和值之间的众所周知的差异因素。危害分析结果与元素和值的存量在空间上结合在一起,可以对处于风险中的元素及其相应的潜在破坏进行识别和量化。因此,在考虑了描述各个要素的特定敏感性的不同脆弱性方法的基础上,对极端情景损失(ESL)进行了分析。这导致特定于场景的ESL范围,而不是单个值。蒂罗尔州一般性危险的暴露分析确定(i)105,330个人,(ii)20,272栋建筑物和50,157栋住宅,相应的潜在破坏力约为10%。 200亿欧元。 (iii)62 494辆车辆,相应潜在损失为10亿欧元。根据个别极端事件的情况,ESL最少的情况下,仅建筑物和存货的ESL介于0.9欧元“ 13亿欧元”和2.2欧元“ 25亿欧元”之间。在最严重的情况下。根据2005年事件后的调查,将私有财产损失与建筑物和存货以及其他直接有形损失类别的相关性,导致潜在的直接有形ESL高达76亿欧元。除了具体的研究结果外,总体发现还表明,除了进一步发展建模能力和情景概念外,显着降低整体洪水风险分析的不确定性的关键在于开发和实施更精确的方法。

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