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Residential building stock modelling for mainland China targeted for seismic risk assessment

Xin, Danhua; Daniell, James Edward; Tsang, Hing-Ho; Wenzel, Friedemann

Abstract:
To enhance the estimation accuracy of economic loss and casualty in seismic risk assessment, a high-resolution building exposure model is necessary. Previous studies in developing global and regional building exposure models usually use coarse administrative-level (e.g. country or sub-country level) census data as model inputs, which cannot fully reflect the spatial heterogeneity of buildings in large countries like China. To develop a high-resolution residential building stock model for mainland China, this paper uses finer urbanity-level population and building-related statistics extracted from the records in the tabulation of the 2010 population census of the People's Republic of China (hereafter abbreviated as the “2010 census”). In the 2010 census records, for each province, the building-related statistics are categorized into three urbanity levels (urban, township, and rural). To disaggregate these statistics into high-resolution grid level, we need to determine the urbanity attributes of grids within each province. For this purpose, the geo-coded population density profile (with 1 km × 1 km resolution) developed in the 2015 Global Human Settlement Layer (GSHL) project is selected. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000139341
Veröffentlicht am 29.10.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1561-8633, 1684-9981
KITopen-ID: 1000139341
Erschienen in Natural Hazards and Earth System Sciences
Verlag European Geosciences Union (EGU)
Band 21
Heft 10
Seiten 3031-3056
Nachgewiesen in Web of Science
Scopus
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