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Inventory of uncertainties associated with the process of tsunami damage assessment on buildings (SCHEMA FP6 EC co-funded project)

机译：与建筑物海啸破坏评估过程相关的不确定性清单（SCHEMA FP6 EC共同资助的项目）

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摘要

Within the framework of the SCHEMA FP6 EC co-funded project (http://www.schemaproject.org), we have identified the sources of errors/uncertainties that can be introduced at several steps of the damage assessment process, from post-disaster field measures up to hazard and damages maps production. Errors, for instance, are introduced when collecting post-disaster observations owing to different types of instruments/methods, water marks considered, tide correction, etc.: in extreme cases, differences of meters can be found between water heights data published by different teams for the same locations. Much uncertainty comes from difficulties in identifying and characterizing the potential tsunami sources and from numerical modelling. Moreover, the resolution of the employed Digital Terrain Models can noticeably affect the predicted inundation extent. We have also verified that the consistency of the computations on the long term varies sensitively depending on the code, raising the problem of results reliability for emergency management in dangerous coasts exposed to repeated waves. In addition, damage assessment is performed using damage functions linking the mean damage level on buildings with the maximum water elevation measured in the field without considering other tsunami parameters such as stream velocity. Finally, we examined uncertainties introduced in hazard and vulnerability mapping due to cartographic processing.
机译：在SCHEMA FP6 EC共同资助的项目（http://www.schemaproject.org）的框架内，我们确定了错误/不确定性的根源，这些错误/不确定性可在灾后评估的几个步骤中引入现场采取措施，以评估危害和破坏情况。例如，由于不同类型的仪器/方法，考虑的水印，潮汐校正等原因，在收集灾后观测数据时会引入错误：在极端情况下，不同团队发布的水高数据之间会发现水表之间的差异对于相同的位置。许多不确定性来自于难以识别和表征潜在海啸源以及数值建模。此外，采用的数字地形模型的分辨率会显着影响预测的淹没程度。我们还验证了长期计算的一致性会随代码而敏感地变化，从而在暴露于重复波浪的危险海岸中，对应急管理结果可靠性提出了问题。此外，使用损害函数执行建筑物的损害评估，将建筑物的平均损害水平与现场测得的最大水位联系起来，而无需考虑其他海啸参数，例如水流速度。最后，我们检查了由于制图处理而在危害和脆弱性制图中引入的不确定性。

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