Abstract
On the basis of data obtained from China Earthquake Administration and China National Statistics Bureau, this paper focuses on the earthquake disaster loss characteristics in 31 provinces or municipalities of China from 1993 to 2016. The trends of direct economic losses, casualties and affected population are also analyzed by constructing two relative earthquake loss indexes (losses/GDP and losses/E) and employing gray correlation theory. Results show that during the 24 years, without taking Wenchuan Ms8.0 earthquake into account, the direct economic losses exhibit a significant increasing trend while losses/GDP also increases but is not significant. Meanwhile, the injuries and affected population both witness a decline trend but the fatalities show the opposite. According to the correlational degree of each year, 8 years (1995, 1996, 1998, 2003, 2008, 2010, 2013 and 2014) suffered losses of equal or above moderate grade. Regionally, the western China suffered the most accumulative direct economic losses and losses/GDP. However, the ranking results of losses/E demonstrate that the central China is the most vulnerable when confronting with the same earthquake. Specifically, Sichuan and Yunnan suffered losses of extra-large grade, Qinghai of large grade and Tibet, Xinjiang and Guangdong of moderate grade. These discoveries are helpful for earthquake mitigation and preparedness as well as earthquake loss evaluation in China.
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References
Anton B, Gurcan C (2016) Short-term freeway traffic parameter prediction: application of grey system theory models. Expert Syst Appl 62(15):284–292. https://doi.org/10.1016/j.eswa.2016.06.032
Bath Markus (1979) Introduction to seismology. Birkhauser, Basel, Boston, Stuttgart
Borden KA, Cutter SL (2008) Spatial patterns of natural hazards mortality in the United States. Int J Health Geogr 7:64–77. https://doi.org/10.1186/1476-072X-7-64
Bruijn KMD, Green C, Johnson C, Mcfadden L (2007) Evolving concepts in flood risk management: searching for a common language. In: Begum S, Stive MJF, Hall JW (eds) Flood risk management in Europe. Springer, Berlin
CEA and NBS (China Earthquake Administration and National Bureau of Statistics) (1996) Compilation of earthquake loss evaluation (1990–1995). Seismological Press, Beijing (in Chinese)
Chen T, Zheng TY (2016) A review of earthquake damage losses in mainland China in 2015. J Catastrophol 31(3):133–137 (in Chinese with English abstract)
Chen Y, Chen QF, Huang J et al (2003) Reduction of earthquake disasters. Acta Seismol Sin 25(6):621–629 (in Chinese with English abstract)
DEERCEA (Department of Earthquake Emergency Rescue of China Earthquake Administration) (2010) Compilation of earthquake loss evaluation (2001–2005). Seismological Press, Beijing (in Chinese)
DEERCEA (Department of Earthquake Emergency Rescue of China Earthquake Administration) (2015) Compilation of earthquake loss evaluation (2006–2010). Seismological Press, Beijing (in Chinese)
DEMPCEA (Department of Earthquake Monitoring and Prediction of China Earthquake Administration) (2001) Compilation of earthquake loss evaluation (1996–2000). Seismological Press, Beijing (in Chinese)
Deng JL (1989) Introduction to grey system theory. J Grey Syst 1:1–24
DEPCEA (Department of Earthquake Prevention of China Earthquake Administration) (1993) Workbook for earthquake prediction and evaluation. Seismological Press, Beijing (in Chinese)
Dong YB, Duan ZS (2008) A new determination method for identification coefficient of grey relational grade. J Xi’an Univ Arch Technol (Nat Sci Edn) 40(4):589–592
Gao MT (2003) The characteristics of earthquake disasters and countermeasures for their mitigation in metropolitans. Earthq Res China 17(4):297–304
Gong Z, Forrest JYL (2014) Special issue on meteorological disaster risk analysis and assessment: on basis of grey systems theory. Nat Hazards 71:995. https://doi.org/10.1007/s11069-013-0864-y
He CR, Zhang R et al (2011) Earthquake characteristics and building damage in high-intensity areas of Wenchuan earthquake I: Yingxiu town. Nat Hazards 57:435–451. https://doi.org/10.1007/s11069-010-9624-4
He BS, Huang XL et al (2018) Analysis of flash flood disaster characteristics in China from 2011 to 2015. Nat Hazards 90:407–420. https://doi.org/10.1007/s11069-017-3052-7
Hoppe P, Pielke R (2006) Report of the workshop on ‘‘Climate change and disaster losses: understanding and attributing trends and projections’’. Hohenkammer, Germany
Huang SM, Dong RY (2017) Research on the characteristics and repeatability of strong earthquake activity in Sichuan–Yunnan. Earthq Res China 31(4):491–512
Jia HC, Chen F, Fan YD, Pan DH (2016) Comparison of two large earthquakes in China: the Ms 6.6 Yunnan Jinggu Earthquake and the Ms 6.5 Yunnan Ludian Earthquake in 2014. Int J Disaster Risk Reduct 16:99–107. https://doi.org/10.1016/j.ijdrr.2016.01.006
Jiang N, Xu XR, Hu BQ et al (2016) Analysis of spatial and temporal pattern of earthquake in China in recent 20 years. Popular Sci Technol 18(9):29–31 (in Chinese with English abstract)
Jin JL, Wei YM et al (2012) Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation. Nat Hazards 62:129–139. https://doi.org/10.1007/s11069-011-0005-4
Lei H, Wang XL et al (2018) The earthquake in Jiuzhaigou County of Northern Sichuan, China on August 8, 2017. Nat Hazards 90:1021–1030. https://doi.org/10.1007/s11069-017-3064-3
Li ZQ, Yuan YF et al (2009) Preliminary research on the characteristics of the Ms8.0 Wenchuan Earthquake hazard. Earthq Res China 23(3):278–298
Liu SF, Dang YG, Fang ZG (2004) Gray system theory and application. Science Press, Beijing (in Chinese)
Liu J, Liu AW et al (2017) Analysis on characteristics of the hazards of the 2015 Pishan Ms6.5 earthquake in Xinjiang. Earthq Res China 31(1):116–124
Mi HL, Li Y, Hou JS (2006) A review of earthquake damage loss in Chinese mainland in 2005. J Nat Disasters 15(3):164–168 (in Chinese with English abstract)
Muhammad SM, Young HL, Sonia IM (2015) Group multi-criteria supplier selection using combined grey systems theory and uncertainty theory. Expert Syst Appl 42(21):7951–7959. https://doi.org/10.1016/j.eswa.2015.06.018
Qiu JL, Wang XL, He SY et al (2017a) The catastrophic landside in Maoxian County, Sichuan, SW China on June 24, 2017. Nat Hazards 89(3):1485–1493. https://doi.org/10.1007/s11069-017-3026-9
Qiu JL, Xie YL, Fan HB, Wang ZC, Zhang YW (2017b) Centrifuge modelling of twin-tunnelling induced ground movements in loess strata. Arab J Geosci 10:493. https://doi.org/10.1007/s12517-017-3297-1
Qiu JL, Liu HQ, Lai JX et al (2018) Investigating the long term settlement of a tunnel built over improved loessial foundation soil using jet grouting technique. J Perform Constr Facil 32(5). https://doi.org/10.1061/(ASCE)CF.1943-5509.0001155
Tang Q (1994) Study on characteristics of earthquake disaster economical losses in China recently. J Catastraphol 9(4):35–39 (in Chinese with English abstract)
Wang YH, Li M et al (2012) An urban rail transit hazard evaluation methodology based on grey system theory. Proc Soc Behav Sci 43:764–772. https://doi.org/10.1016/j.sbspro.2012.04.150
Wen HP, Tang LH et al (2016) Present situation investigation of rural housing project in Xinjiang and analysis of its actual disaster reduction effectiveness. J Nat Disasters 25(5):184–190 (in Chinese with English abstract)
Wu ZL, Ma TF, Jiang H, Jiang CS (2013) Multi-scale seismic hazard and risk in the China mainland with implication for the preparedness, mitigation, and management of earthquake disasters: an overview. Int J Disaster Risk Reduct 4:21–33. https://doi.org/10.1016/j.ijdrr.2013.03.002
Xie NM, Xin JH et al (2014) China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model. Nat Hazards 71:1067–1089. https://doi.org/10.1007/s11069-013-0662-6
Xu XM, Zheng FL et al (2015) Spatiotemporal characteristics of earthquake disasters and their damages within 2013 in China. Res Soil Water Conv 22(4):321–325 (in Chinese with English abstract)
Zhang PZ, Deng QD, Zhang ZQ et al (2013) Active faults, earthquake hazards and associated geodynamic processes in continental China. Sci Sin Terrae 43:1607–1620 (in Chinese with English abstract)
Zhao B, Xu WY (2014) Background and reflections on Dingxi earthquake of July 22, 2013. Nat Hazards 90:407–420. https://doi.org/10.1007/s11069-017-3052-7
Zhao Y, Gong ZW, Wang WH et al (2014) The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory. Nat Hazards 71:1001–1016. https://doi.org/10.1007/s11069-013-0698-7
Zheng TY, Zheng Y (2015) Review of earthquake damage losses in Chinese mainland in 2013. J Nat Disasters 24(1):239–246. https://doi.org/10.13577/j.jnd.2015.0130 (in Chinese with English abstract)
Zhou GQ, Shi WH et al (2003) Main features of earthquake losses in Yunnan. J Nat Disasters 12(3):81–86 (in Chinese with English abstract)
Zhou Y, Li N et al (2013) Exploring the characteristics of major natural disasters in China and their impacts during the past decades. Nat Hazards 69:829–843. https://doi.org/10.1007/s11069-013-0738-3
Zhou WH, Qin HY, Qiu JL et al (2017) Building information modelling review with potential applications in tunnel engineering of China. R Soc Open Sci 4(8):170–174. https://doi.org/10.1098/rsos.170174
Acknowledgements
This work was supported by Central Public-Interest Scientific Institution Basal Research Fund (Grant No. IGCEA1610), the National Natural Science Foundation of China (Grant No. 41,601,390) and Special Project Funding for Seismic Research (Grant No. 20130801805). The authors are grateful to Li Yang from Department of Earthquake Emergency Rescue, China Earthquake Administration and Zheng Tongyan from China Earthquake Networks Center, China Earthquake Administration for the help in data collection.
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Li, X., Li, Z., Yang, J. et al. Spatiotemporal characteristics of earthquake disaster losses in China from 1993 to 2016. Nat Hazards 94, 843–865 (2018). https://doi.org/10.1007/s11069-018-3425-6
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DOI: https://doi.org/10.1007/s11069-018-3425-6