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Integration of natural and technological risks in Lombardy, Italy

机译:意大利伦巴第的自然和技术风险整合

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摘要

Multi-risk assessment is becoming a valuable tool for land planning, emergency management and the deployment of mitigation strategies. Multi-risk maps combine all available information about hazard, vulnerability, and exposed values related to different dangerous phenomena, and provide a quantitative support to complex decision making. We analyse and integrate through an indicator-based approach nine major threats affecting the Lombardy Region (Northern Italy, 25 000 km(2)), namely landslide, avalanche, flood, wildfire, seismic, meteorological, industrial (technological) risks; road accidents, and work injuries. For each threat, we develop a set of indicators that express the physical risk and the coping capacity or system resilience. By combining these indicators through different weighting strategies (i.e. budgetary allocation, and fuzzy logic), we calculate a total risk for each threat. Then, we integrate these risks by applying AHP (Analytic Hierarchy Process) weighting, and we derive a set of multi-risk maps. Eventually, we identify the dominant risks for each zone, and a number of risk hot-spot areas. The proposed approach can be applied with different degree of detail depending on the quality of the available data. This allows the application of the method even in case of non homogeneous data, which is often the case for regional scale analyses. Moreover, it allows the integration of different risk types or metrics. Relative risk scores are provided from this methodology, not directly accounting for the temporal occurrence probability of the phenomena.
机译:多风险评估正在成为土地规划,应急管理和缓解策略部署的重要工具。多风险图结合了有关危险,脆弱性和与不同危险现象有关的暴露值的所有可用信息,并为复杂的决策提供了定量支持。我们通过基于指标的方法分析和整合了影响伦巴第大区(意大利北部,25 000 km(2))的九种主要威胁,即滑坡,雪崩,洪水,野火,地震,气象,工业(技术)风险;交通事故和工伤。对于每种威胁,我们都会开发一套指标,以表示物理风险以及应对能力或系统的弹性。通过使用不同的加权策略(即预算分配和模糊逻辑)将这些指标结合起来,我们可以计算出每种威胁的总风险。然后,我们通过应用层次分析法(AHP)加权来整合这些风险,并得出一组多风险图。最终,我们确定了每个区域的主要风险以及一些风险热点区域。可以根据可用数据的质量以不同的详细程度应用建议的方法。即使在非均质数据的情况下,这也允许应用该方法,这对于区域规模分析通常是这种情况。而且,它允许集成不同的风险类型或度量。通过这种方法可以提供相对风险评分,而不是直接考虑现象在时间上的发生概率。

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