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Towards a cross-border exposure model for the Earthquake Model Central Asia

Marc WielandHelmholtz Center Potsdam - German Research Center for Geosciences, Potsdam,Massimiliano PittoreHelmholtz Center Potsdam - German Research Center for Geosciences, Potsdam,Stefano ParolaiHelmholtz Center Potsdam - German Research Center for Geosciences, Potsdam,Ulugbek T. BegalievInternational University of Innovation Technologies, Bishkek,Pulat YasunovInstitute of Geology, Earthquake Engineering and Seismology, Academy of Sciences of the Republic of Tajikistan, Dushanbe,Jafar NiyazovInstitute of Geology, Earthquake Engineering and Seismology, Academy of Sciences of the Republic of Tajikistan, Dushanbe,Sergey TyagunovHelmholtz Center Potsdam - German Research Center for Geosciences, Potsdam,Bolot MoldobekovCentral Asian Institute for Applied Geosciences, Bishkek,Saidislom SaidiyTashkent Architectural Building Institute, Tashkent,Indalip IlyasovResearch Institute for Seismic Resistant Construction, Ashgabat,Tanatkan AbakanovInstitute of Seismology, Academy of Sciences of the Republic of Kazakhstan, Almaty,
Annals of Geophysicsjournal2015en
ABI

Annotatsiya

This work provides an insight into the development of the first harmonized exposure model for Central Asia. The model was derived in the frame of the Earthquake Model Central Asia (EMCA) project, which is the regional initiative for Central Asia to the Global Earthquake Model (GEM). The EMCA exposure model combines commonly used data sources and acquisition techniques (e.g., rapid visual screening) with novel rapid assessment approaches (e.g., satellite remote sensing and omnidirectional imaging) in the framework of an integrated sampling scheme and stores the data in a multi-resolution spatio-temporal database. The exposure model implements a newly developed building typology, harmonized for the five Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan) and follows the international building taxonomy of the GEM. Emphasis is given to the multi-scale nature and the temporal dynamics of exposure data. Results from a selected urban area are provided to illustrate the current state of the continuously updated exposure model.

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