National seismic risk maps are an important risk mitigation tool as they can be used for the prioritization of regions within a country where retrofitting of the building stock or other risk mitigation measures should take place. The production of a seismic risk map involves the convolution of seismic hazard data, vulnerability predictions for the building stock and exposure data. The seismic risk maps produced in Italy over the past 10 years are compared in this paper with recent proposals for seismic risk maps based on state-of-the-art seismic hazard data and mechanics-based vulnerability assessment procedures. The aim of the paper is to open the discussion for the way in which future seismic risk maps could be produced, making use of the most up-to-date information in the fields of seismic hazard evaluation and vulnerability assessment.
The aim of this paper is to disseminate knowledge in the seismic science community about a possible tool which is not largely popular, despite its potential usefulness. In this paper it will be shown how satellite remotely sensed images may represent a powerful source of information where traditional sources of information are unable to deliver it, or at least to do so timely. Even when traditional information flow can ensure delivery, an advantage may still be found in terms of sooner availability and smaller amount of labour required. In the case shown here a vulnerability study was made on a vast industrial area in the gulf of Siracusa, Sicily, Italy. A series of concurrent factors made it particularly troublesome to obtain information on the structures found in the site (tanks, pipes, chimneys, roads, …), required to suitably carry out the study. Satellite images were then acquired to obtain the information needed. Processing of the images was carried out relying on in-house software formerly developed for similar information extraction issues, and integrated with new, specifically developed elements, some pieces of information were obtained useful for seismic risk evaluation. In particular, location, footprint, elevation of significant structures (e.g. tanks, chimneys) could be evaluated, obtaining results in a format compatible with the most widespread GIS (Geographic Information System) standards. Such compatibility allowed a considerable savings on labour time required to lay a GIS of the area, which is a fundamental tool for risk and vulnerability analyses.
This article studies the effects of the soil data and exposure data of residential building inventories, as well as their spatial resolution, on seismic damage and loss estimates for a given earthquake scenario. Our aim is to investigate how beneficial it would be to acquire higher resolution inventories at the cost of additional effort and resources. Seismic damage computations are used to evaluate the relative influence of varying spatial resolution on a given damage model, where other parameters were held constant. We use soil characterization maps and building exposure inventories, provided at different scales from different sources: the European database, a national dataset at the municipality scale, and local field investigations. Soil characteristics are used to evaluate site effects and to assign amplification factors to the strong motion applied to the exposed areas. Exposure datasets are used to assign vulnerability indices to sets of buildings, from which a damage distribution is produced (based on the applied seismic intensity). The different spatial resolutions are benchmarked in a case-study area which is subject to moderate-to-average seismicity levels (Luchon valley in the Pyrénées, France). It was found that the proportion of heavily damaged buildings is underestimated when using the European soil map and the European building database, while the more refined databases (national/regional vs. local maps) result in similar estimates for moderate earthquake scenarios. Finally, we highlight the importance of pooling open access data from different sources, but caution the challenges of combining different datasets, especially depending on the type of application that is pursued (e.g., for risk mitigation or rapid response tools).
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