Preprints
https://doi.org/10.5194/nhess-2019-385
https://doi.org/10.5194/nhess-2019-385
06 Jan 2020
 | 06 Jan 2020
Status: this discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The manuscript was not accepted for further review after discussion.

Residential building stock modelling for mainland China

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

Abstract. Previous seismic damage reports have shown that the damage and collapse of buildings is the leading cause of fatality and property loss, especially in developing countries. To better serve the risk analysis targeted at near-real-time post-earthquake mitigation and pre-earthquake preparedness and resources allocation, this study develops a fully reproducible grid-level residential building stock model for mainland China, by disaggregating urbanity level census data of each province into 1 km × 1 km scale and using population density profile as the proxy. To evaluate the model performance, the modelled residential building stock value is compared with the net capital stock value in Wu et al. (2014) using perpetual inventory method at provincial level. The modelled stock values in these two studies are in good agreement for all the 31 provinces in mainland China. Furthermore, district level comparison of the residential floor area developed in this study with records from statistical yearbook of Shanghai is also conducted. It turns out that the floor area developed in this study is compatible with floor area recorded in the yearbook of Shanghai. To further validate the applicability of the modelled results in seismic risk assessment, an estimation of the scenario loss to modelled residential buildings is performed, by assuming the recurrence of 2008 Wenchuan M8.0 earthquake. The overall estimated loss approximates the loss value derived from damage reports based on field investigation quite well. Both results indicate the reliability of the residential building stock model developed in this study. The limitations of this study are discussed and directions for future work are recommended.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Danhua Xin, James Edward Daniell, Hing-Ho Tsang, and Friedemann Wenzel
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Danhua Xin, James Edward Daniell, Hing-Ho Tsang, and Friedemann Wenzel
Danhua Xin, James Edward Daniell, Hing-Ho Tsang, and Friedemann Wenzel

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Latest update: 04 Nov 2024
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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. Comparison with previous studies and yearbook records indicates the reliability of our model. The model is flexible for updates when more detailed census or statistics data are available, and it can be conveniently combined with hazard data and vulnerability information for risk assessment.
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