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A Support Analysis Framework for mass movement damage assessment: applications to case studies in Calabria (Italy)

机译:群众运动损害评估的支持分析框架:在卡拉布里亚(意大利)的案例研究中的应用

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The analysis of data describing damage caused by mass movements in Calabria (Italy) allowed the organisation of the Support Analysis Framework (SAF), a spreadsheet that converts damage descriptions into numerical indices expressing direct, indirect, and intangible damage. The SAF assesses damage indices of past mass movements and the potential outcomes of dormant phenomena re-activations. It is based on the effects on damaged elements and is independent of both physical and geometric phenomenon characteristics. SAF sections that assess direct damage encompass several lines, each describing an element characterised by a value fixed on a relative arbitrary scale. The levels of loss are classified as: L4: complete; L3: high; L2: medium; or L1: low. For a generic line l, the SAF multiplies the value of a damaged element by its level of loss, obtaining d(l), the contribution of the line to the damage. Indirect damage is appraised by two sections accounting for: (a) actions aiming to overcome emergency situations and (b) actions aiming to restore pre-movement conditions. The level of loss depends on the number of people involved (a) or the cost of actions (b). For intangible damage, the level of loss depends on the number of people involved. We examined three phenomena, assessing damage using the SAF and SAFL, customised versions of SAF based on the elements actually present in the analysed municipalities that consider the values of elements in the community framework. We show that in less populated, inland, and affluent municipalities, the impact of mass movements is greater than in coastal areas. The SAF can be useful to sort groups of phenomena according to their probable future damage, supplying results significant either for insurance companies or for local authorities involved in both disaster management and planning of defensive measures.
机译:对描述卡拉布里亚(意大利)群众运动造成的损害的数据进行分析后,组织了支持分析框架(SAF),该电子表格可将损害描述转换为表示直接,间接和无形损害的数字索引。 SAF评估了过去群众运动的破坏指数以及休眠现象重新激活的潜在结果。它基于对损坏元素的影响,并且与物理和几何现象特征无关。评估直接损害的SAF部分包括几行,每行描述了一个元素,该元素的特征是固定在相对任意范围内的值。损失级别分类为:L4:完全; L4:完全。 L3:高; L2:中等;或L1:低。对于通用线l,SAF将损坏元素的值乘以其损耗水平,以获得d(l),即线对损坏的贡献。间接损坏由两个部分进行评估,其中包括:(a)旨在克服紧急情况的行动,以及(b)旨在恢复出行前条件的行动。损失的程度取决于所涉人数(a)或诉讼费用(b)。对于无形损害,损失的程度取决于所涉人数。我们研究了三种现象,使用SAF和SAFL评估了损害,SAF是根据分析后的市政府中实际存在的要素(考虑社区框架中要素的价值)定制的版本。我们表明,在人口稀少,内陆和富裕的城市,群众运动的影响大于沿海地区。 SAF可以根据可能发生的未来损害对各种现象进行分类,从而为保险公司或参与灾害管理和防御措施规划的地方当局提供重要的结果。

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