Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-3031-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3031-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Residential building stock modelling for mainland China targeted for seismic risk assessment
Department of Earth and Space Sciences, Southern University of Science
and Technology, 1088 Xueyuan Avenue, Shenzhen 518055, Guangdong Province,
China
Center for Disaster Management and Risk Reduction Technology (CEDIM), Geophysical Institute, Karlsruhe Institute of Technology, Hertzstrasse
16, 76187 Karlsruhe, Germany
James Edward Daniell
CORRESPONDING AUTHOR
Center for Disaster Management and Risk Reduction Technology (CEDIM), Geophysical Institute, Karlsruhe Institute of Technology, Hertzstrasse
16, 76187 Karlsruhe, Germany
The General Sir John Monash
Foundation, Level 5, 30 Collins Street, Melbourne, Victoria, 3000, Australia
Hing-Ho Tsang
Centre for Sustainable Infrastructure, Swinburne University of
Technology, Melbourne, Victoria, 3122, Australia
Friedemann Wenzel
Center for Disaster Management and Risk Reduction Technology (CEDIM), Geophysical Institute, Karlsruhe Institute of Technology, Hertzstrasse
16, 76187 Karlsruhe, Germany
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Short summary
A grid-level residential building stock model (in terms of floor area and replacement value) targeted for seismic risk analysis for mainland China is developed by using census and population density data. Comparisons with previous studies and yearbook records indicate the reliability of our model. The modelled results are openly accessible and can be conveniently updated when more detailed census or statistics data are available.
A grid-level residential building stock model (in terms of floor area and replacement value)...
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