2026-06-30T08:34:22Zhttp://doidb.wdc-terra.org/oaip/oai
oai:doidb.wdc-terra.org:71202026-06-10T10:00:31ZDOIDBDOIDB.GFZ
false4DOIDB.GFZ 10.5880/GFZ.2.6.2019.002 Pittore, Massimiliano Massimiliano Pittore 0000-0003-4940-3444 GFZ German Research Centre for Geosciences, Potsdam, Germany Wieland, Marc Marc Wieland 0000-0002-1155-723X GFZ German Research Centre for Geosciences, Potsdam, Germany Haas, Michael Michael Haas 0000-0002-1179-1659 GFZ German Research Centre for Geosciences, Potsdam, Germany Silva, Vitor Vitor Silva GEM Foundation, Pavia, Italy EMCA Seismic exposure model for Tajikistan GFZ Data Services 2019 Earthquake Risk taxonomy RRVS GEM EMCA Central Asia geological process > seismic activity risk > natural risk safety > risk assessment > disaster preparedness safety > risk assessment > natural risk analysis safety > risk assessment > risk exposure Pittore, Massimiliano Massimiliano Pittore 0000-0003-4940-3444 GFZ German Research Centre for Geosciences, Potsdam, Germany Pittore, Massimiliano Massimiliano Pittore 0000-0003-4940-3444 GFZ German Research Centre for Geosciences, Potsdam, Germany Pittore, Massimiliano Massimiliano Pittore 0000-0003-4940-3444 GFZ German Research Centre for Geosciences, Potsdam, Germany Wieland, Marc Marc Wieland 0000-0002-1155-723X GFZ German Research Centre for Geosciences, Potsdam, Germany Haas, Michael Michael Haas 0000-0002-1179-1659 GFZ German Research Centre for Geosciences, Potsdam, Germany Silva, Vitor Vitor Silva GEM Foundation, Pavia, Italy Pittore Massimiliano GFZ German Research Centre for Geosciences, Potsdam, Germany 2019-02-05 2012-01-01/2016-10-01 Dataset 10.1177/8755293020951582 10.5880/GFZ.2.6.2019.006 1.0 CC BY 4.0 Multi-resolution exposure model for seismic risk assessment in Tajikistan. The model has been developed according to the methodology outlined in Pittore, Haas and Silva (2020) "Variable resolution probabilistic modeling of residential exposure and vulnerability for risk applications", Earthquake Spectra. The model is aggregated over a Central Voronoidal Tessellation (CVT) composed of geo-cells covering the territory of Tajikistan (provided as a separate file). The model integrates around 1'000 building observations (see related dataset Pittore et al. 2019a). The following specific modelling parameters have been employed: Prior strength=10, 100 Epsilon=0.001 For each geo-cell the model includes the expected number of buildings , total occupancy and replacement cost for each of the 15 building types defined in the EMCA taxonomy (see Pittore et al, 2019b), plus the buildings that are belonging to other, non specified typologies (described by building type OTH). Each geo-cell also includes the area of the geo-cell itself in squared km.

The data package contains three components:
1) exposure models in .csv
2) exposure models in .xml - the file is encoded in NRML 0.5 format and is compatible with the GEM openquake processing engine
3) shapefile of the tessellation that aggregates the exposure model. The field "cell_id" is the linkage with the exposure models
Time span of the overall RRVS surveys 67.4534 75.6272 36.5584 39.8046