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Analysis of the seismic vulnerability and the structural characteristics of houses in Chinese rural areas

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Abstract

Disastrous earthquakes brought extensive damage to rural houses not designed to resist seismic movements in China. So far, the paucity of nation-wide data on rural houses, especially on their structural features, has prevented a comprehensive national assessment of the earthquake vulnerability of rural areas. This paper estimates the proportion of rural houses in each of five different structural groups in county-level administration units in China with downscaling methods and assesses the seismic vulnerability of counties paying attention to the seismic intensity and social–economic characteristics of different areas. A housing damage index is constructed with the expected amount and ratio of damaged houses in earthquakes, based on which four vulnerability levels are specified for each county-level unit. The results show that highly vulnerable and vulnerable counties account for 7.9 % and 10.7 % of all, respectively. Based on the distribution of these counties, the critical factors of weakness in different regions, such as seismic intensity, housing quality and population density, are analyzed, and risk reduction strategies are discussed.

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References

  • Barlow L, Westergren K, Holmberg L et al (2009) The completeness of the Swedish cancer register: a sample survey for year 1998. Acta Oncol 48(1):27–33

    Article  Google Scholar 

  • Benedetti D, Petrini V (1984) Sulla vulnerabilità’ sismica degli edifici in muratura: proposta di unmetodo di valutazione. L’Industria delle Costruzioni n. 149, Rome

  • Braga F, Dolce M, Liberatore D (1982) A statistical study on damaged buildings and an ensuing review of the MSK-76 Scale. In: Proceedings of the seventh european conference on earthquake engineering. Athens, Greece, pp 431–450

  • Calvi GM, Pinho R, Magenes G (2006) Development of seismic vulnerability assessment methodologies over the past 30 years. J Earthq Technol 43(3):75–104

    Google Scholar 

  • Carter TR, Fronzek S, Bärlund I (2004) A framework for developing consistent global change scenarios for Finland in the 21st century. Boreal Environ Res 9(2):91–107

    Google Scholar 

  • Coburn AW, Spence RJS, Pomonis A (1992) Factors determining human casualty levels in earthquakes: mortality prediction in building collapse. Earthquake engineering, tenth world conference, pp 5989–5994

  • Cutter SL (1996) Vulnerability to environmental hazards. Prog Hum Geogr 20(4):529–539

    Article  Google Scholar 

  • Gaffin SR, Rosenzweig CR, Xing X et al (2004) Downscaling and geo-spatial girding of socio-economic projections from the IPCC special report on emissions scenarios (SRES). Global Environ Change 14(2):105–123

    Article  Google Scholar 

  • Ge QS, Zou M, Zheng JY et al (2008) Integrated assessment of natural disaster risks in China. Science Press, Beijing (In Chinese)

  • Gong P, Howarth PJ (1990) The use of structural information for improving land-cover classification accuracies at the rural-urban fringe. Photogr Eng Remote Sens 56:67–73

    Google Scholar 

  • Hall F, Townshend J, Engman T (1995) Status of remote sensing algorithms for estimation of land surface state parameters. Remote Sens Environ 51:138–156

    Article  Google Scholar 

  • Herold M, Scepan J, Clarke KC (2002) The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environ Plan A 34:1443–1458

    Article  Google Scholar 

  • Hewitson BC, Crane RG (1996) Climate downscaling: techniques and application. Clim Res 7:85–95

    Article  Google Scholar 

  • IQP (Inspection and Quarantine of the People’s Republic of China) (2000) Seismic Ground Motion Parameter Zonation Map of China (GB18306-2001)

  • Kenny C (2009) Why do people die in earthquakes? The costs, benefits and institutions of disaster risk reduction in developing countries. World Bank Policy Research Working Paper No. 4823. URL:https://openknowledge.worldbank.org/handle/10986/4042

  • Kohiyama M, Yamazaki F (2004) Vulnerability functions for wooden houses in Japan based on seismic diagnosis data, Paper No. 130 presented on the 13th World Conference on Earthquake Engineering, Vancouver

  • Liu Y, Wu S H, Xu Z C et al (2011) Methodology for assessment and classification of natural disaster risk: a case study on seismic disaster in Shanxi Province, China. Geogr Res 30(2):195–208 (In Chinese)

  • NBSC (National Bureau of Statistics of China) (2005) Report of the 2005 Percentage Sampling Census, Beijing (In Chinese)

  • NSET, ADPC, ITC, ICIMOD (2002) Earthquake vulnerability reduction for cities (EVRC-2). Kathmandu: National Society for Earthquake Technology-Nepal (NSET)

  • Okada S, Takai N (2000) Classifications of structural types and damage patterns of buildings for earthquake field investigation. In: Proceedings of the 12th world conference on earthquake engineering, Auckland, 2000, Paper No. 0705

  • Porter KA, Jaiswal KS, Wald DJ et al (2008) Whe-pager project: a new initiative in estimating global building inventory and its seismic vulnerability. In: The 14th World Conference on Earthquake Engineering, 2008, Beijing

  • Rygel L, Sullivan D, Yarnal B (2006) A method for constructing a social vulnerability index: an application to hurricane storm surges in a developed country. Mitig Adapt Strat Glob Change 11:41–64

    Article  Google Scholar 

  • Schweier C, Markus M, Steinle E (2004) Simulation of earthquake caused building damages for the development of fast reconnaissance techniques. Nat Hazards Earth Syst Sci 04:1–9

    Article  Google Scholar 

  • Wang Y, Shi PJ, Wang JA et al (2005) Impact of earthquake disaster on rural residents: a case study on Dayao county of Yunnan province. J Nat Disasters 14(6):110–115 (In Chinese)

    Google Scholar 

  • Whitman RV, Reed JW, Hong ST (1973) Earthquake damage probability matrices. In: Proceedings of the fifth world conference on earthquake engineering, Rome, Italy, vol 2, pp 2531–2540

  • Wilby RL, Wigley TML, Conway D et al (1998) Statistical downscaling of general circulation model output: a comparison of methods. Water Resour Res 34:2995–3008

    Article  Google Scholar 

  • Xia ZG, Clarke KC (1997) Approaches of scaling geo-spatial data. In: Quattrochi DA, Goodchild MF (eds) Scale in Remote Sensing and GIS. Lewis publisher, Boca Raton, FL, pp 309–360

  • Yan JQ, Hao YQ (2003) Paying close attention to the seismic safety of rural areas. Recent Developments World Seismol 11:5–10 (In Chinese)

    Google Scholar 

  • Yin ZQ (1994) A dynamic model for predicting earthquake disaster losses. J Nat Disasters 3(2):72–80 (In Chinese)

    Google Scholar 

  • Yin ZQ (1995) Prediction method of earthquake disaster loss. Earthquake Press, Beijing (In Chinese)

  • Yin ZQ, Yang SW (2004) Earthquake losses analysis and fortification criteria. Earthquake Press, Beijing (In Chinese)

    Google Scholar 

  • Yin LF, Li M, Song LJ (2001) Application of Bayes model to the prediction of buildings damages in earthquakes. Plateau Earth Res 13(4):34–40 (In Chinese)

    Google Scholar 

Download references

Acknowledgments

The authors thank Professors Fengjun Jin, Mick Dundord, and Yi Liu for valuable comments. The study is supported by National Key Technology R&D Program, No. 2011BAK07B02, No. 2008BAK50-05, and National Natural Science Foundation of China, No. 41171138.

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Correspondence to Xiaolu Gao.

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Gao, X., Ji, J. Analysis of the seismic vulnerability and the structural characteristics of houses in Chinese rural areas. Nat Hazards 70, 1099–1114 (2014). https://doi.org/10.1007/s11069-013-0860-2

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