Sentence examples for exposure database from inspiring English sources

Further details about the assembly of the buildings exposure database of Manizales can be found in Gonzalez (2014).

The exposure database has building level information, including the construction type (used in the vulnerability module; Table 4), replacement value and other characteristics.

One of the tasks within the disaster risk management project developed in Manizales was related to the update and completion of the exposure database to take into account not only improvements related to the content and attributes of the exposure database, but also the consideration of new buildings that have been built since 2004.

Those exposure characteristics allowed the association of a unique vulnerability function for each of the hazards considered to each of the entries in the exposure database in order to obtain the expected damages and losses.

During this process a probabilistic estimation of damages, losses, and casualties is created by having a predefined exposure database (for the public and private buildings and water lifelines of Manizales) and their associated vulnerability models.

The first exposure database for private buildings in Manizales, developed for purposes related to seismic risk assessment in 2004, included representative variables such as age, number of stories, structural system, location, and socioeconomic level.

However, the exposure databases developed for these case studies can be considered an exception.

Seismic and wind vulnerability functions are estimated for each one of the building classes defined in typical global exposure databases.

The regular completion, update, and improvement of exposure databases for both the water and sewage network and the public and private buildings in any city, is a high priority task for which the needed economic resources should be allocated.

The two different exposure databases used in the case studies presented for Manizales were mostly developed using official information showing how data, first gathered and arranged for other purposes, is clearly useful for disaster risk identification purposes.

For each asset included in the exposure databases, a unique vulnerability function is assigned in order to estimate the losses associated with different hazard intensity levels, for each of the considered stochastic events.