1,249
Views
2
CrossRef citations to date
0
Altmetric
Articles

Study on the seismic lethal level of buildings and seismic disaster risk in Guangzhou, China

, , , &
Pages 800-829 | Received 04 Nov 2021, Accepted 07 Feb 2022, Published online: 02 Mar 2022

References

  • Ademovi N, Hadzima-Nyarko M, Zagora N. 2020. Seismic vulnerability assessment of masonry buildings in Banja Luka and Sarajevo (Bosnia and Herzegovina) using the macroseismic model. Bull Earthquake Eng. 18(8):3897–3933.
  • Ahmadzadeh S, Doloei GJ, Zafarani H. 2020. Ground motion to intensity conversion equations for Iran. Pure Appl Geophys. 177(11):5435–5449.
  • Alexandru B, Lucian R, Ionel M, Adrian G. 2017. Towards urban resilience: a multi-criteria analysis of seismic vulnerability in Iasi city (Romania). Sustainability. 9(2):270.
  • Badal J, Vzquez-Prada M, Gonzlez L. 2005. Preliminary quantitative assessment of earthquake casualties and damages. Nat Hazards. 34(3):353–374.
  • Baker J, Bradley B, Stafford P. 2021. Seismic hazard and risk analysis. London: Cambridge University Press.
  • Baorong D, Jingjiang S, Ke D, Huan L. 2017. Study on relationships between seismic intensity and peak ground acceleration, peak ground velocity. Earthquake Eng Eng Dyn. (02):26–36.
  • Bessason B, Bjarnason JÖ. 2016. Seismic vulnerability of low-rise residential buildings based on damage data from three earthquakes (Mw6.5, 6.5 and 6.3). Eng Struct. 111:64–79.
  • Bessason B, Bjarnason JÖ, Gudmundsson A, Sólnes J, Steedman S. 2012. Probabilistic earthquake damage curves for low-rise buildings based on field data. Earthquake Spectra. 28(4):1353–1378.
  • Bessason B, Bjarnason JÖ, Rupakhety R. 2020. Statistical modelling of seismic vulnerability of RC, timber and masonry buildings from complete empirical loss data. Eng Struct. 209:109969..
  • Bessason B, Rupakhety R, Bjarnason JÖ. 2022. Comparison and modelling of building losses in South Iceland caused by different size earthquakes. J Build Eng. 46:103806..
  • Bondarenko M, Kerr D, Sorichetta A, Tatem AJ. 2020. Census/projection-disaggregated gridded population datasets, adjusted to match the corresponding UNPD 2020 estimates, for 183 countries in 2020 using Built-Settlement Growth Model (BSGM) outputs. World Pop, University of Southampton, UK.
  • Bühlmann H. 1996. Mathematical methods in risk theory. Berlin: Springer.
  • Chettri N, Gautam D, Rupakhety R. 2021. Seismic vulnerability of vernacular residential buildings in Bhutan. J Earthquake Eng.:1–16.doi:10.1080/13632469.2020.1868362
  • Chieffo N, Formisano A. 2019. Geo-hazard-based approach for the estimation of seismic vulnerability and damage scenarios of the old city of Senerchia (Avellino, Italy). Geosciences (Switzerland). 9(2):59.
  • Ongkowijoyo C, Doloi H and Gurmu A. 2020. Hybrid risk analysis model for analyzing the urban infrastructure risk – ScienceDirect. Int J Disaster Risk Reduct. 48:1-12. doi: 10.1016/j.ijdrr.2020.101600.
  • Del Gaudio C, Ricci P, Verderame GM, Manfredi G. 2017. Urban-scale seismic fragility assessment of RC buildings subjected to L'Aquila earthquake. Soil Dyn Earthquake Eng. 96:49–63..
  • Elefante L, Jalayer F, Iervolino I, , Manfredi G. 2010. Disaggregation-based response weighting scheme for seismic risk assessment of structures. Soil Dyn Earthquake Eng. 30(12):1513–1527..
  • Gautam D, Adhikari R, Rupakhety R. 2021. Seismic fragility of structural and non-structural elements of Nepali RC buildings. Eng Struct. 232:111879..
  • Gautam D, Adhikari R, Rupakhety R, Koirala P. 2020. An empirical method for seismic vulnerability assessment of Nepali school buildings. Bull Earthquake Eng. 18(13):5965–5982.
  • Hershberger J. 1956. A comparison of earthquake accelerations with intensity ratings. Bull Seismol Soc Am. 46(4):317–320.
  • Jaiswal K, Wald DJ. 2008. Creating a global building inventory for earthquake loss assessment and risk management. US geological survey open-file report-1160. Reston, VA: US Geological Survey; p. 103.
  • Jaiswal K, Wald D, D'Ayala D. 2011. Developing empirical collapse fragility functions for global building types. Earthquake Spectra. 27(3):775–795.
  • Jena R, Pradhan B, Beydoun G, Nizamuddin A, Sofyan H, Affan M. 2020a. Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh Province, Indonesia. Geosci Front. 11(2): 613–634. doi:https://doi.org/10.1016/j.gsf.2019.07.006
  • Jena R, Pradhan B, Beydoun G, Al-Amri A, , Sofyan H. 2020b. Seismic hazard and risk assessment: a review of state-of-the-art traditional and GIS models. Arab J Geosci. 13(2):50.
  • Li M, Hong M, Ren Z. 2018. Improved Bayesian network-based risk model and its application in disaster risk assessment. Int J Disaster Risk Sci. 9(2):237–248.
  • Liu X, Chen H. 2019. Integrated assessment of ecological risk for multi-hazards in Guangdong province in Southeastern China. Geomatics Nat Hazards Risk. 10(1):2069–2093.
  • Li M, Zhenhua Z, Peijun S, Jingai W. 2015. World earthquake disaster risk assessment. J Nat Disasters. 24(05):1–11.
  • Maqsood T, Edwards M, Ioannou I, Kosmidis I, Rossetto T, Corby N. 2016. Seismic vulnerability functions for Australian buildings by using GEM empirical vulnerability assessment guidelines. Nat Hazards. 80(3):1625–1650..
  • Marshall T. 2020. Risk perception and safety culture: Tools for improving the implementation of disaster risk reduction strategies. Int J Disaster Risk Reduct. 47:101557.
  • Milad R, van de Lindt JW, Rosenheim N, Hu Y, Cutler H. 2021. Implication of building inventory accuracy on physical and socio-economic resilience metrics for informed decision-making in natural hazards. Struct Infrastruct Eng. 17(4):534–554.
  • Milad R. 2020. Performance-based seismic monitoring of instrumented buildings [Ph.D. Dissertation]. Department of Civil and Environmental Engineering, University of Vermont, Vermont. https://scholarworks.uvm.edu/graddis/1140.
  • Miles SB, Chang SE. 2011. ResilUS: A community-based disaster resilience model. Cartograph Geograph Inf Sci. 38(1):36–51.
  • Nie G, Chaoxu X, Xiwei F. 2020. Grading of anti-lethal level based on historical earthquake mortality data. Chin J Geol. 55(4):1298–1314.
  • Pavic G, Hadzima-Nyarko M, Bulajić B. 2020. A contribution to a UHS-based seismic risk assessment in Croatia – a case study for the city of Osijek. Sustainability. 12(5):1796.
  • Porter KA, Farokhnia K, Cho IH, Grant D, Jaiswal K, Wald D, Noh H. 2012, September. Global vulnerability estimation methods for the global earthquake model. In 15th World Conference on Earthquake Engineering, Lisbon, Portugal; p. 24–28.
  • Smith K. 2013. Environmental hazards: assessing risk and reducing disaster. London: Routledge; p. 148.
  • Sweny A. 2012. Relationships between earthquake ground motions and modified Mercalli intensity. Electronic Thesis and Dissertation Repository. 368. London, Ontario, Canada. https://ir.lib.uwo.ca/etd/368
  • Tian X, Zengping W, Weidong Z, Jie Y. 2021. New ground motion to intensity conversion equations for china. Shock Vib. 2021(1):1–21.
  • Tsang HH, Daniell JE, Wenzel F, Wilson JL. 2020. A universal approach for evaluating earthquake safety level based on societal fatality risk. Bull Earthquake Eng. 18(1):273–296.
  • UNDP. 2010. Human development report. New York: New York Oxford University Press.
  • Verderame GM, Ricci P, De Luca F, Del Gaudio C, De Risi MT. 2014. Damage scenarios for RC buildings during the 2012 Emilia (Italy) earthquake. Soil Dyn Earthquake Eng. 66:385–400..
  • Wu YM, Teng TL, Shin TC. 2003. Relationship between peak ground acceleration peak ground velocity, and intensity in Taiwan. Bull Seismol Soc Am. 93(1):386–396.
  • Xia C. 2020. Research on lethal assessment technique of earthquake death based on field investigation. Institute of Geology, China Earthquake Administration, Beijing.
  • Xia C, Gaozhong N, Xiwei F, Junxue Z, Huayue L, Xiaoke P. 2020. Research on the rapid assessment of earthquake casualties based on the anti-lethal levels of buildings, Geomatics. Nat Hazards Risk. 11(1):377–398.
  • Yu LY. 2017. Discussion of uncertainty risk theory. Mod Occup Saf. 3:75–77. in Chinese).
  • Zheng H, Guo L, Liu J, Zheng T, , Deng Z. 2020. Evaluating seismic risk in small and medium-sized cities with the modified vulnerability index method, a case study in Jiangyou City, China. Bull Earthquake Eng. 18(4):1303–1319.